| 🔬 Lab | 📍 Role | 🎯 Focus |
|---|---|---|
| Machine Learning Lab, IIIT Hyderabad | Research Intern | 3D Computer Vision · Dr. Charu Sharma |
| CVPR Unit, Indian Statistical Institute, Kolkata | Research Intern | Scene Text Spotting · Dr. Umapada Pal (IAPR Fellow) |
| University of Salford, UK | Research Intern | Document Analysis · Dr. Shivakumara P. |
class AbhinavShukla:
def __init__(self):
self.name = "Abhinav Shukla"
self.degree = "B.Tech (H) CSE (AI) · CSVTU Bhilai · 2023–2027"
self.focus = ["Computer Vision", "Explainable AI", "Efficient Deep Learning", "MLOps"]
self.current = ["3D Computer Vision @ IIIT-H MLL", "Scene Text Spotting @ ISI Kolkata"]
self.publications = 4 # NeurIPS 2026 ×2 + ICDAR 2026 ×2 (under review)
self.reviews = ["Springer Nature CS (IF: 2.185)", "AIA BonView (IF: 9.375)"]
self.open_source = {"Annie (ANN Library)": "200K+ PyPI downloads"}
self.os = "Arch Linux btw 🐧"
self.fun_fact = "Started programming in 3rd grade. Rank 19 — International Informatics Olympiad 2019."
def current_mission(self):
return "Advance efficient, explainable, and deployable AI systems."| 🧠 |
Taylor-Made Sparsity: First-Order Approximation for Structural Pruning in Object Detectors |
 |
| 🤖 |
Selective Unlearning in Multi-Agent Deep Deterministic Policy Gradient |
|
| 📰 |
Reliability-Weighted Semi-Supervised End-to-End Approach for Scene Text Spotting |
 |
| ✂️ |
Explainability-Inspired Layer-Wise Pruning of DNNs for Efficient Object Detection |
 |
| ♻️ |
EcoLens: Intelligent Imaging for E-Waste Management |
 |
Reviewer @ Springer Nature Computer Science
(IF: 2.185)| Artificial Intelligence & Applications, BonView(IF: 9.375)
|
Lightning-fast Approximate Nearest Neighbor search library. SIMD-accelerated brute-force, HNSW indexing, GPU acceleration, zero-copy NumPy integration, thread-safe indexes.
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Containerized backend for AI desktop automation. VNC-powered virtual desktop sessions with real-time WebSocket orchestration via Anthropic Claude.
|
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Real-time image classification (ResNet/gRPC) with Kafka video streaming, Docker containerization, and a one-click Streamlit control dashboard.
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Spatial ML pipeline (R²≈0.90) with FLAML-tuned XGBoost + Tree SHAP + GeoShapley decomposition. Interactive Folium + Plotly fairness dashboard.
|
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CNN encoder + LSTM memory + controller for autonomous driving in CarRacing-v3. Latent state prediction with RL rewards and automated video evaluation.
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From-scratch implementations of XFeat (CVPR 2024) for lightweight image matching and FATA (WACV 2025) for test-time domain adaptation.
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Languages
ML / DL / CV
LLMs & GenAI
DevOps & Cloud
Data Science
|
🦀 200K+ Downloads |
🌐 Rank 19 |
⭐ HackerRank 5-Star |
🚀 NASA |
┌─────────────────────────────────────────────────────────────────────┐
│ 🏛 Programmers' Paradise · Dept. of CSE, CSVTU Bhilai │
│ ├── Head of Technical Council Mar 2025 – Jan 2026 │
│ ├── President (Founder) Mar 2024 – Mar 2025 │
│ │ ├── 20+ workshops & hackathons organized │
│ │ ├── MoUs with Swapso.io & Altair (Blockchain, AI, Web3) │
│ │ └── Established MATLAB & Blockchain Web3 Chapters │
│ │
│ 📋 TPO Representative · CSVTU Apr 2024 – Jul 2024 │
│ 🎙 Technical Lead · IEEE ICECCT 2024 Jun 2024 │
└─────────────────────────────────────────────────────────────────────┘
| Certificate | Issuer |
|---|---|
| Fundamentals of Reinforcement Learning |  |
| Linear Algebra for Machine Learning & Data Science |  |
| Developing Explainable AI (XAI) |  |
| Rust for DevOps + Data Engineering with Rust | |
| Deep Learning with PyTorch + TensorFlow + Keras |  |
| Machine Learning with Python | |
| Intro to Neural Networks and PyTorch | |
"Silent steps. Giant leaps. Infinite horizons."