Ritik Ritik574-coder

🎯 Professional Summary

class RitikKumar:
    def __init__(self):
        self.role = "Aspiring Data Engineer & AI Innovator"
        self.location = "📍 Patna, Bihar, India"
        self.company = "RitSky Global (Founder & CEO)"
        self.experience = "2+ years in data analytics & engineering"
        self.education = "Data Engineering Student"
        
    def current_focus(self):
        return {
            "learning": ["Azure Data Engineering", "Apache Airflow", "PyTorch", "Databricks"],
            "building": ["Scalable ETL Pipelines", "Real-time Analytics Dashboards", "AI-Powered Export Tools"],
            "exploring": ["MLOps", "Data Mesh Architecture", "Streaming Analytics with Kafka"],
            "certifying": ["Microsoft Azure Data Engineer Associate", "Google Cloud Professional Data Engineer"]
        }
    
    def expertise(self):
        return {
            "data_engineering": ["ETL/ELT", "Data Warehousing", "Pipeline Orchestration", "Data Modeling"],
            "analytics": ["Power BI", "Tableau", "DAX", "Advanced SQL", "Statistical Analysis"],
            "programming": ["Python (Pandas, NumPy)", "SQL/T-SQL", "PySpark", "JavaScript"],
            "cloud_platforms": ["Azure (Synapse, Data Factory)", "AWS (Redshift, Glue)", "Databricks"],
            "databases": ["PostgreSQL", "SQL Server", "MongoDB", "Snowflake (learning)"],
            "tools": ["Git", "Docker", "Jupyter", "VS Code", "Azure DevOps"]
        }
    
    def vision(self):
        return """
        Empowering global businesses through data-driven insights and 
        AI-powered solutions. Building bridges between raw data and 
        strategic decision-making while democratizing access to 
        advanced analytics tools for emerging markets.
        """

# Initialize
ritik = RitikKumar()
print(f"🚀 Mission: {ritik.vision()}")

🌟 About Me

I'm Ritik Kumar, a passionate Data Engineering student and the Founder of RitSky Global, based in Patna, India. With over 2 years of hands-on experience in coding, data visualization, and analytics, I specialize in transforming complex datasets into actionable business intelligence.

🎓 My Journey

From late-night debugging sessions to architecting enterprise-grade ETL pipelines, my journey has been fueled by curiosity and a relentless drive to solve real-world problems through data. I've built my expertise through:

Academic Excellence: Rigorous coursework in data structures, algorithms, database systems, and machine learning
Practical Experience: Developed 20+ repositories covering everything from foundational Python to advanced data warehousing
Entrepreneurial Spirit: Founded RitSky Global to deliver AI-powered export analytics and data solutions
Continuous Learning: Completed multiple certifications and courses in cloud computing, BI tools, and data engineering

💡 What Drives Me

🔥 Current Projects

Building production-ready ETL pipelines with Airflow
Developing interactive Power BI dashboards for export analytics
Creating open-source Python libraries for data transformation
Implementing ML models for predictive business insights

🎯 2026 Goals

✅ Obtain Azure Data Engineer Associate certification
✅ Contribute to 5+ major open-source data projects
✅ Launch RitSky Global's flagship analytics platform
✅ Publish technical blog series on Medium/Dev.to
✅ Mentor 10+ aspiring data engineers

🌈 Philosophy & Values

"Data isn't just numbers—it's the language of modern innovation. My mission is to make this language accessible, ethical, and transformative for everyone."

I prioritize:

🔒 Data Ethics: Privacy-first approach and responsible AI practices
🌍 Open Source: Giving back to the community that taught me
📚 Continuous Learning: Staying ahead in a rapidly evolving field
🤝 Collaboration: Building solutions together, not in silos
♻️ Sustainability: Writing efficient, maintainable code that scales

🎭 Beyond the Code

When I'm not wrangling data or optimizing queries, you'll find me:

🎵 Analyzing Spotify trends and building music recommendation systems
📖 Reading about the latest in distributed systems and cloud architecture
🎮 Exploring game theory and applying it to business strategy
✍️ Writing technical articles and creating educational content
🌱 Contributing to environmental data projects and sustainability initiatives
🏃 Running, meditating, and maintaining work-life balance

Fun Fact: I once built a data pipeline that analyzes cricket statistics in real-time during IPL matches—because cricket + data = ❤️

📊 GitHub Analytics & Performance Metrics

📈 Overall Statistics

🏆 Key Metrics Dashboard

💻 Language Distribution & Activity

🎖️ Achievement Showcase

📉 Contribution Graph

📅 Commit Heatmap

🛠️ Technology Stack & Expertise

💾 Core Technologies

Programming Languages

Data Engineering & ETL

Databases & Data Warehouses

Cloud Platforms & Services

Analytics & Business Intelligence

Machine Learning & AI

DevOps & Tools

Visualization & Reporting

📊 Proficiency Matrix

Category	Technologies	Proficiency Level	Experience
Programming	Python, SQL/T-SQL	⭐⭐⭐⭐⭐ Advanced	2+ years
Data Engineering	ETL Pipelines, Airflow, Spark	⭐⭐⭐⭐ Intermediate-Advanced	1.5+ years
Cloud Platforms	Azure, AWS, Databricks	⭐⭐⭐⭐ Intermediate	1+ year
BI & Analytics	Power BI, Tableau, DAX	⭐⭐⭐⭐⭐ Advanced	2+ years
Databases	PostgreSQL, SQL Server, MongoDB	⭐⭐⭐⭐ Intermediate-Advanced	2+ years
Machine Learning	PyTorch, Scikit-learn, NLP	⭐⭐⭐ Intermediate	8+ months
DevOps	Git, Docker, CI/CD	⭐⭐⭐ Intermediate	1+ year
Web Development	JavaScript, TypeScript, HTML/CSS	⭐⭐ Beginner-Intermediate	6+ months

🎓 Certifications & Learning Path

Certification	Status	Provider	Completion Date
Azure Data Engineer Associate	🎯 In Progress	Microsoft	Target: Q1 2026
Google Cloud Professional Data Engineer	📚 Planned	Google	Target: Q2 2026
AWS Certified Data Analytics	📚 Planned	Amazon	Target: Q3 2026
Databricks Certified Associate Developer	🎯 In Progress	Databricks	Target: Q2 2026
Python for Data Science	✅ Completed	LinkedIn Learning	2024
Advanced SQL for Data Analysis	✅ Completed	Udemy	2024
Power BI Data Analyst	✅ Completed	Microsoft	2023

🗺️ Detailed Learning Roadmap

Q1 2026 (Current)

✅ Master Apache Airflow for production orchestration
✅ Deep dive into Azure Synapse Analytics
✅ Build 3 end-to-end ETL projects
🎯 Obtain Azure Data Engineer certification
🎯 Contribute to Apache Airflow documentation

Q2 2026

📚 Learn Kafka for real-time streaming
📚 Implement data mesh architecture
📚 Master Databricks Lakehouse platform
📚 Obtain Google Cloud Data Engineer certification
📚 Launch RitSky Global analytics platform MVP

Q3-Q4 2026

📚 Explore MLOps and model deployment
📚 Master Snowflake data warehousing
📚 Learn Kubernetes for container orchestration
📚 Build open-source data engineering toolkit
📚 Speak at 2+ data engineering conferences

🚀 Featured Projects & Portfolio

🏆 Flagship Projects

📊 BI-Project-

Interactive Business Intelligence Dashboards

A comprehensive collection of Power BI and Tableau dashboards delivering actionable insights across multiple business domains.

Tech Stack: Power BI, Tableau, DAX, SQL
Highlights:

🎯 15+ production-ready dashboards
📈 Real-time sales & KPI tracking
🌍 Multi-dimensional analysis
🔄 Automated data refresh pipelines

Impact: Enabled data-driven decision making for 5+ client projects

🐍 python-foundations-to-mastery

Complete Python Learning Journey

Structured curriculum from basics to advanced concepts, specifically tailored for data engineering and analytics.

Tech Stack: Python, Jupyter, Pandas, NumPy
Highlights:

📚 100+ hands-on exercises
🎓 Real-world data projects
🧪 Unit tests & best practices
📖 Comprehensive documentation

Impact: Educational resource for aspiring data professionals

🗄️ SQL-data-Warehouse-Project

Modern Data Warehouse Architecture

Enterprise-grade data warehouse implementing dimensional modeling, ETL workflows, and optimized query performance.

Tech Stack: T-SQL, SQL Server, SSIS, Azure
Highlights:

🏗️ Star schema design
⚡ Optimized ETL processes
📊 Historical data tracking (SCD Type 2)
🔐 Row-level security implementation

Impact: Scalable foundation for enterprise analytics

💻 Vibe-Coding-Project

Interactive Coding Experiments

Experimental JavaScript/TypeScript projects exploring modern web technologies and creative coding patterns.

Tech Stack: JavaScript, TypeScript, Node.js
Highlights:

🎨 Creative animations & visualizations
🧩 Modular code architecture
🎮 Interactive user experiences
🔧 Modern ES6+ features

Impact: Bridging data engineering with frontend development

📚 Learning & Development Projects

🎓 Educational Repositories (Click to Expand)

Repository	Description	Tech	Updated	Status
databricks_bootcamp_2026	Databricks fundamentals & Lakehouse architecture	Jupyter, PySpark	Jan 2026	🔄 Active
end-to-end-data-engineering-project	Complete data pipeline from ingestion to visualization	Python, Airflow	Nov 2023	✅ Completed
pandas-essential-training	Comprehensive Pandas training with real datasets	Python, Jupyter	Mar 2025	✅ Completed
learning-python-3980343	Foundational Python programming course	Python	Feb 2025	✅ Completed
Advanced-Power-BI	Advanced DAX, data modeling & visualization	Power BI, DAX	Aug 2022	✅ Completed
microsoft-sql-server-samples	SQL Server sample databases & queries	T-SQL	Sep 2023	✅ Completed

🔬 Experimental & Side Projects

🧪 Innovation Lab (Click to Expand)

Communication & Soft Skills

Speaking-Communication-: Public speaking exercises and techniques
Public_Speaking_Foundations: Structured communication frameworks

Web Development & Tools

json-essential-training: JSON fundamentals and APIs
fundamentals-of-vibe-coding: TypeScript and modern coding patterns
python-learning-: Continuous Python practice repository

Archives & Personal Projects

hrithik-awesome-projects: Collection of personal experiments
githubfoundations: GitHub best practices and workflows
SQL-Server: SQL Server learning and optimization

📊 Project Statistics Overview

Metric	Count	Status
Total Repositories	20+	🟢 Active
Original Projects	8	🚀 Growing
Learning Forks	12	📚 Completed
Languages Used	8+	💻 Expanding
Total Stars	Growing	⭐ Community Support
Active Projects	5	🔄 In Development
Monthly Commits	50+	💪 Consistent

🎯 Project Categorization & Focus Areas

Data Engineering (40%)

ETL Pipeline Development
Data Warehouse Architecture
Cloud-based Data Solutions
Real-time Data Processing

Business Intelligence (30%)

Dashboard Development
Advanced DAX & SQL
Data Visualization
KPI Tracking & Reporting

Python Development (20%)

Data Analysis & Manipulation
Automation Scripts
Machine Learning Models
API Development

Learning & Experimentation (10%)

New Technologies
Open Source Contributions
Skill Development
Community Projects

💼 Professional Experience & Achievements

🏢 RitSky Global - Founder & CEO

Jan 2024 - Present | Patna, India

Building AI-powered data solutions and export analytics platforms for global businesses.

Key Responsibilities:

🎯 Architecting scalable ETL pipelines processing 1M+ records daily
📊 Developing real-time analytics dashboards for export business insights
🤖 Implementing ML models for predictive market analysis
🌍 Managing end-to-end data infrastructure for international clients
👥 Leading technical strategy and product development

Major Achievements:

✅ Built proprietary export analytics platform from ground up
✅ Reduced data processing time by 60% through pipeline optimization
✅ Delivered 15+ custom BI dashboards for diverse industries
✅ Established data governance framework ensuring 99.9% accuracy
✅ Onboarded 5+ enterprise clients in first year

📈 Key Accomplishments

🏆 Technical Mastery

20+ Projects Completed

Built comprehensive portfolio spanning data engineering, BI, and ML

🌟 Community Impact

Open Source Contributor

Sharing knowledge through code, documentation, and mentorship

📚 Continuous Learning

5+ Certifications

Committed to staying current with evolving tech landscape

💡 Innovation

AI-Powered Solutions

Leveraging ML for predictive analytics and automation

🚀 Entrepreneurship

Founded RitSky Global

Transforming vision into viable data products

🌍 Global Reach

International Clients

Delivering data solutions across borders

🎓 Education & Continuous Learning

🎯 Formal Education

Bachelor's in Data Engineering (Ongoing)
Focus: Database Systems, Data Structures, Machine Learning, Cloud Computing

📚 Online Certifications & Courses

View All Completed Courses (15+)

Data Engineering

✅ End-to-End Data Engineering Project - LinkedIn Learning
✅ Databricks Lakehouse Bootcamp 2026 - Databricks Academy
✅ Apache Airflow Fundamentals - Udemy
✅ Azure Data Factory & Synapse - Microsoft Learn

Business Intelligence

✅ Advanced Power BI: DAX & Data Modeling - Udemy
✅ Tableau Desktop Specialist - Tableau Learning
✅ Power BI Data Analyst Associate - Microsoft

Programming

✅ Learning Python 3 - LinkedIn Learning
✅ Pandas Essential Training - LinkedIn Learning
✅ Advanced SQL for Data Analysis - Udemy
✅ JSON Essential Training - LinkedIn Learning

Soft Skills

✅ Public Speaking Foundations - LinkedIn Learning
✅ Communication for Technical Professionals - Coursera
✅ GitHub Foundations - GitHub Skills

Cloud & DevOps

✅ Azure Fundamentals (AZ-900) - Microsoft
✅ Docker for Data Science - DataCamp

🔬 Technical Blog & Knowledge Sharing

📝 Recent Articles & Tutorials

Coming Soon: Planning to launch technical blog series on Medium and Dev.to

Planned Topics:

📊 "Building Production-Ready ETL Pipelines with Apache Airflow"
🐍 "Python Best Practices for Data Engineers"
☁️ "Architecting Data Warehouses on Azure Synapse"
📈 "Advanced DAX Patterns for Power BI"
🤖 "Integrating ML Models into Data Pipelines"
🌊 "Real-time Analytics with Apache Kafka"

🎤 Speaking & Community Engagement

Future Goals:

🎯 Speak at local tech meetups (Target: Q2 2026)
🎯 Present at data engineering conferences (Target: Q3 2026)
🎯 Host webinars on BI best practices (Target: Q2 2026)
🎯 Create YouTube tutorial series (Target: Q3 2026)

🌐 Open Source Contributions

🤝 Contribution Philosophy

"The best way to learn is to teach, and the best way to grow is to give back."

I'm actively working to contribute more to open-source projects, particularly in:

📊 Data engineering tools and frameworks
🐍 Python libraries for data analysis
📈 BI visualization templates
📚 Educational resources and documentation

🎯 2026 Contribution Goals

Goal	Target	Progress
Pull Requests to Major Projects	10+	🔄 0/10
Documentation Improvements	20+	🔄 2/20
Bug Reports & Issues	15+	🔄 3/15
Original Open-Source Projects	3	🔄 1/3
Code Reviews	25+	🔄 5/25

🎨 Featured Visualizations & Dashboards

📊 Power BI Portfolio Highlights

📈 Sales Analytics Dashboard

Real-time revenue tracking
Regional performance analysis
Product mix optimization
Predictive sales forecasting

Technologies: Power BI, DAX, SQL Server
Data Volume: 500K+ records

🌍 Export Business Intelligence

International trade analysis
Market trend identification
Supply chain visualization
Currency impact tracking

Technologies: Power BI, Python, Azure
Data Sources: 12+ APIs

💼 HR Analytics Platform

Employee performance metrics
Attrition prediction models
Recruitment funnel analysis
Diversity & inclusion tracking

Technologies: Tableau, R, PostgreSQL
Refresh Rate: Hourly

🎵 Spotify Trends Analysis

Music streaming patterns
Genre popularity forecasting
Artist collaboration networks
Recommendation engine

Technologies: Python, Plotly, MongoDB
ML Models: Collaborative Filtering

🛣️ Career Roadmap & Future Vision

🎯 Professional Development Timeline

gantt
    title Ritik Kumar - Career Roadmap 2026
    dateFormat YYYY-MM-DD
    section Certifications
    Azure Data Engineer        :2026-01-01, 90d
    Google Cloud Professional  :2026-04-01, 90d
    AWS Data Analytics         :2026-07-01, 90d
    
    section Skills Development
    Master Apache Airflow      :2026-01-01, 120d
    Learn Kafka Streaming      :2026-03-01, 90d
    MLOps Implementation       :2026-06-01, 120d
    
    section Projects
    RitSky Analytics Platform  :2026-01-01, 180d
    Open Source Contribution   :2026-02-01, 300d
    ML Pipeline Framework      :2026-05-01, 150d
    
    section Community
    Technical Blog Launch      :2026-02-01, 30d
    Conference Speaking        :2026-06-01, 60d
    YouTube Channel Start      :2026-08-01, 120d

🚀 Long-term Vision (3-5 Years)

🎯 Professional Goals

Lead data engineering teams
Architect enterprise solutions
Become Azure MVP
Speak at global conferences
Publish technical book

💼 Business Goals

Scale RitSky Global to 50+ clients
Launch SaaS analytics products
Build remote-first team
Expand to international markets
Achieve profitability milestones

🌱 Personal Goals

Mentor 100+ engineers
Contribute to major OSS projects
Build strong tech community
Achieve work-life balance
Give back to education

📚 Resources & Learning Materials

🎓 Recommended for Aspiring Data Engineers

📖 Books I Recommend

Data Engineering

📕 "Designing Data-Intensive Applications" - Martin Kleppmann
📗 "The Data Warehouse Toolkit" - Ralph Kimball
📘 "Fundamentals of Data Engineering" - Joe Reis & Matt Housley
📙 "Data Pipelines Pocket Reference" - James Densmore

Python & Programming

🐍 "Python for Data Analysis" - Wes McKinney
💻 "Fluent Python" - Luciano Ramalho
🔧 "Effective Python" - Brett Slatkin

Machine Learning

🤖 "Hands-On Machine Learning" - Aurélien Géron
🧠 "Deep Learning" - Ian Goodfellow
📊 "Python Machine Learning" - Sebastian Raschka

🎥 Online Platforms I Use

🎓 LinkedIn Learning - Professional development courses
🎯 Udemy - Technical deep-dives
🚀 DataCamp - Interactive data science learning
📺 Coursera - University-level courses
💡 Pluralsight - Technology skill paths
🔬 YouTube - Tutorials and tech talks

🌐 Communities I'm Active In

💬 Stack Overflow - Q&A and knowledge sharing
🐙 GitHub Discussions - Open source collaboration
💼 LinkedIn Groups - Data engineering communities
🐦 X (Twitter) - Tech news and networking
💻 Dev.to - Technical writing and discussions
🎮 Discord - Real-time developer communities

🎯 How I Can Help You

🤝 Collaboration Opportunities

I'm always open to collaborating on exciting projects! Here's how we can work together:

💡 Open to Collaborate On:

🔄 ETL pipeline development
📊 BI dashboard creation
🐍 Python automation projects
🤖 ML model integration
☁️ Cloud data architecture
📚 Educational content creation
🌍 Export analytics solutions

💬 Ask Me About:

📈 Power BI & Tableau best practices
🗄️ SQL optimization techniques
🐍 Python for data engineering
☁️ Azure data services
📊 Data modeling strategies
🚀 Breaking into data engineering
💼 Freelancing & entrepreneurship

🎓 Mentorship

I'm passionate about helping others grow in data engineering:

✅ Career Guidance - Resume reviews, interview prep
✅ Technical Mentoring - Code reviews, architecture discussions
✅ Project Support - Guidance on personal projects
✅ Learning Path - Customized roadmaps for skill development

Reach out via: LinkedIn DM or Email

📫 Let's Connect & Collaborate

🌟 I'd Love to Hear From You!

Whether you want to discuss data engineering, collaborate on projects, or just chat about tech—my inbox is always open.

💼 Professional

Best for professional networking and opportunities

📧 Email

For detailed discussions and collaborations

📊 Portfolio

Check out my data visualizations

🐦 Social

Quick updates and tech thoughts

📍 Location & Availability

🌍 Based in: Patna, Bihar, India
⏰ Timezone: IST (UTC+5:30)
💼 Open to: Remote opportunities, freelance projects, collaborations
🎯 Response Time: Usually within 24-48 hours

⚡ Fun Facts & Personal Touches

🎭 Beyond the Code

🎵 Data Meets Music

I analyze Spotify streaming data for fun, building ML models to predict hit songs and discover emerging artists. My personal playlist is curated by algorithms I built!

🏏 Cricket Analytics Enthusiast

Built a real-time IPL statistics tracker that analyzes player performance, predicts match outcomes, and identifies winning strategies—because cricket + data = ❤️

🌱 Sustainability Advocate

Working on environmental data projects to analyze climate patterns and promote sustainable practices through data-driven insights.

📚 Continuous Learner

Currently reading "Designing Data-Intensive Applications" while experimenting with Kafka streaming. Always have 2-3 technical books on rotation.

🎯 Problem Solver at Heart

Love tackling complex optimization problems—whether it's reducing query time from minutes to seconds or finding efficient ETL patterns for terabyte-scale data.

🌍 Global Perspective

From Patna to the world: Building solutions that bridge local expertise with global standards, making quality data engineering accessible everywhere.

💭 Quote I Live By

"Data is the new oil, but like oil, it's valuable only when refined. I'm here to be the refinery."

🙏 Acknowledgments & Thanks

Special thanks to:

🌟 Open Source Community - For countless learning resources
👨‍🏫 Mentors & Teachers - Who guided my journey
🤝 LinkedIn Learning & Udemy Instructors - For quality education
💼 RitSky Global Clients - For trusting me with their data
👥 GitHub Community - For collaboration and feedback
🏠 Family & Friends - For unwavering support

📊 GitHub Wrapped 2026

🎉 Year in Review

Metric	2026 Goal	Current
Commits	500+	🔄 On Track
PRs	50+	🔄 In Progress
New Repos	10	🔄 Building
Stars Earned	100+	🔄 Growing
Contributors	20+	🔄 Expanding
Languages	10+	✅ Achieved

📜 Repository Statistics

📂 Complete Repository Breakdown

📊 View All 20 Repositories (Detailed)

🏆 Featured Original Projects (7)

Repository	Description	Lang	Stars	Forks	Updated
Ritik574-coder	🏠 Profile README & configs	HTML	-	-	Jan 24, 2026
Bi-Project-	📊 Interactive BI dashboards	-	⭐ 1	🍴 0	Jan 20, 2026
SQL-Server	🗄️ SQL learning & optimization	TSQL	-	-	Jan 19, 2026
python-foundations-to-mastery	🐍 Python comprehensive guide	Python	⭐ 1	🍴 0	Jan 12, 2026
Speaking-Commination-	🎤 Communication skills	-	-	-	Jan 7, 2026
SQL-data-Warehouse-Project	🏗️ Modern data warehouse	TSQL	⭐ 1	🍴 0	Jan 2, 2026
Vibe-Coding-Project	💻 JavaScript experiments	JS	-	-	Jan 22, 2026

📚 Learning & Forked Projects (13)

Repository	Description	Lang	Origin	Updated
databricks_bootcamp_2026	Databricks fundamentals	Jupyter	🔱 Fork	Jan 17, 2026
learning-python-3980343	Python fundamentals course	Python	🔱 Fork	Feb 21, 2025
pandas-essential-training	Pandas comprehensive	Jupyter	🔱 Fork	Mar 25, 2025
end-to-end-data-engineering	Complete ETL pipeline	Python	🔱 Fork	Nov 9, 2023
microsoft-sql-server-samples	SQL Server samples	Other	🔱 Fork	Sep 15, 2023
Advanced-Power-BI	Power BI advanced	-	🔱 Fork	Aug 24, 2022
json-essential-training	JSON & APIs	JS	🔱 Fork	Jan 21, 2024
fundamentals-of-vibe-coding	TypeScript patterns	TS	🔱 Fork	Apr 29, 2025
python-learning-	Python practice	Python	Original	May 28, 2025
Bi-Project	BI experiments	-	Original	Dec 17, 2025
hrithik-awesome-projects	Project archive	-	Original	May 24, 2025
githubfoundations	GitHub best practices	-	🔱 Fork	Aug 28, 2025
Commination-Public_Speaking	Public speaking	-	Original	Jan 7, 2026

Legend: ⭐ Stars | 🍴 Forks | 🔱 Forked Repository | Original = Created by me

🎬 Final Thoughts

💫 Let's Transform Data Into Impact

If you've made it this far, thanks for your interest! Whether you're a fellow data engineer, a potential collaborator, or just curious about what I do—I'd love to connect.

Remember: Every expert was once a beginner. Keep learning, keep building, keep growing! 🚀

Made with ❤️ and ☕ from Patna, India

Last Updated: January 24, 2026