I’m a Machine Learning Engineer specializing in production AI systems, LLMs, search and retrieval, recommendation systems, and computer vision. My work focuses on taking machine learning systems from experimentation to reliable production deployment. I have experience building LLM/RAG systems, hybrid search and ranking pipelines, low-latency inference services, conversational AI, real-time data pipelines, and scalable ML infrastructure.
I also have a strong background in computer vision, including pose estimation, object detection, generative models, model robustness, quantization, pruning, and optimized edge inference. I enjoy solving problems where machine learning, software engineering, distributed systems, and business requirements come together.
- Large Language Models
- Retrieval-Augmented Generation (RAG)
- LLM Fine-Tuning
- LoRA / QLoRA
- Prompt Engineering
- Conversational AI
- Multi-turn Memory
- LLM Evaluation and Reliability
- Agentic AI Systems
- Elasticsearch
- FAISS
- Semantic Search
- Lexical Search
- Hybrid Retrieval
- Vector Search
- Ranking and Re-ranking
- Embedding-based Retrieval
- Classification and Regression
- Recommendation Systems
- Learning to Rank
- Deep Learning
- Model Evaluation
- A/B Testing
- Model and Data Drift
- Production ML Systems
- Object Detection
- Human Pose Estimation
- ST-GCN
- YOLO
- GANs
- VAEs
- Model Quantization
- Structured Pruning
- Edge AI
- Python
- C++
- PyTorch
- ONNX
- TensorRT
- Redis
- PostgreSQL / pgvector
- Kafka
- Docker
- Kubernetes
- Azure
- FastAPI
- MLflow
- 📚 Published two research papers in Natural Language Processing and Computer Vision under the mentorship of Prof. Baidya Nath Saha.
- 🇫🇷 Worked at INRIA, France on Multimodal Emotion Detection under the mentorship of Francois Bremond.
- 🇹🇼 Completed a research internship in Machine Learning and Deep Learning under Prof. Sim Jim Yen at National Dong Hwa University, Taiwan.
- 👨💻 Completed a Machine Learning internship at Verzeo Pvt. Ltd.
I’m interested in collaborating on:
- Large Language Models and Generative AI
- Agentic AI and Conversational Systems
- Search, Retrieval and Ranking
- Recommendation Systems
- Machine Learning Systems
- Deep Learning
- Computer Vision
- Production AI and MLOps
- 🔬 Interested in AI and Machine Learning research collaboration.
- 🎤 Enjoy participating in technical communities and helping engineers and students grow.
- 🌱 Constantly exploring developments in AI, search, retrieval, and ML systems.
✈️ Enjoy travelling and meeting new people.- 🏏 Cricket and ⚽ football enthusiast.
Feel free to reach out for discussions around AI, Machine Learning, LLMs, RAG, Agentic AI, Search, Recommendation Systems, and Computer Vision.