Hi there,

I am Fahad Siddique Faisal, an ML/AI Engineer & Researcher dedicated to building intelligent systems that bridge the gap between complex data and intuitive human interaction.

Currently, as a Senior Deputy Assistant Director and ML/AI Specialist at Walton Hi-Tech Industries PLC, I architect production-grade LLM and Multimodal Agents. My work focuses on automating industrial workflows using frameworks like LangGraph, CrewAI, and Agno, ensuring scalable deployment via Google Cloud Platform. Beyond development, I lead technical teams and mentor interns, fostering a culture of high-quality code and rigorous requirements analysis.

My technical expertise extends to the full lifecycle of AI, from Model Quantization (llama.cpp) and high-performance Vector Search (Qdrant, ChromaDB, LanceDB) to integrating Computer Vision (YOLOv8, CLIP) with NLP. With a background in Electronics from CUET, I also specialize in Edge AI, deploying optimized models to hardware using TensorFlow Lite Micro and ESP32.

Previously, at AI Solutions USA, I built modular AI pipelines and proof-of-concept prototypes leveraging OpenAI and Gemini APIs. Today, I am driven by research in LLM Optimization, Human-Computer Interaction (HCI), and Multilingual Understanding, aiming to create robust AI solutions that solve real-world challenges with precision and empathy.

I am primarily interested in the following areas, where I actively engage in research and development:

• Large Language Models (LLMs)
• Large Multimodal Models (LMMs)
• LLM Agents
• Multimodal AI Agents
• Human–Computer Interaction
• AI in Healthcare
• NLP for Social Good
• NLP for Low-Resource Languages
• Vision-Language Models (VLMs)
• Trustworthy AI
• Computer Vision

🔹 Programming Languages: Python (NumPy, SciPy, Matplotlib, Pandas, Seaborn), C++
🔹 Web Development: JavaScript, TypeScript, Tailwind CSS, FastAPI, Flask, React, Streamlit
🔹 Database: MySQL, PostgreSQL, MongoDB
🔹 Deep Learning Frameworks: TensorFlow, Keras, PyTorch
🔹 LLM Application Frameworks: LangChain, LangGraph, LlamaIndex, LlamaAgents, CrewAI, Agno, Instruction.
🔹 LLM Evaluation Frameworks: LangSmith, Langfuse, Ragas, DeepEval
🔹 Vector Database: AlloyDB for PostgreSQL (pgvector extension), ChromaDB, FAISS, Qdrant, LanceDB
🔹 Cloud Services (AWS): Elastic Container Registry (ECR), App Runner, Elastic Compute Cloud (EC2), S3 Buckets
🔹 Others: Prompt Engineering, Context Engineering, Docker, CrewAI, Jira Boards, GitHub, OpenCV, WebSocket, Apache Airflow, Hugging Face Transformers

"Artificial Intelligence is not a substitute for human intelligence; it is a tool to amplify it."