About
Highly accomplished AI/ML Engineer with a Master's degree in Computer Science and Engineering, specializing in Generative AI, Large Language Models (LLMs), and advanced machine learning techniques. Proven ability to design, develop, and deploy high-impact AI solutions, including a Medical RAG Chatbot that achieved 85%+ accuracy and reduced query latency by 40%, and a Pix2Pix GAN for state-of-the-art underwater image enhancement. Expert in end-to-end ML workflows, MLOps, and optimizing cloud resource utilization, driving significant improvements in efficiency and performance.
Work
Kolkata, West Bengal, India
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Summary
As an AI/ML Engineer, led the full lifecycle development and deployment of advanced AI/ML solutions, including a high-impact Medical RAG Chatbot, driving significant improvements in performance and operational efficiency.
Highlights
Engineered and deployed a Medical RAG Chatbot utilizing LangChain and Pinecone, achieving an 85%+ accuracy rate and reducing query latency by 40% for enhanced diagnostic support.
Optimized cloud resource utilization by implementing Mistral-based local LLMs for on-premise inference, resulting in a 60% reduction in cloud API costs.
Streamlined ML operations by developing end-to-end ML workflows and Dockerized services with CI/CD, decreasing deployment time from 2 weeks to 3 days.
Facilitated real-time access and adoption for over 50 healthcare professionals by deploying the Medical RAG Chatbot through Streamlit, ensuring seamless integration into clinical workflows.
Awards
GATE 2022 Qualification
Awarded By
Graduate Aptitude Test in Engineering (GATE)
Achieved 91.25 percentile in the highly competitive Graduate Aptitude Test in Engineering (GATE) in Computer Science and Information Technology (CSIT).
Publications
Languages
English
Skills
Programming & ML
Python 3, SQL, Scikit-Learn, TensorFlow, PyTorch, Keras, XGBoost, Hugging Face Transformers, LangChain, RAG, FAISS.
Data Handling
Pandas, NumPy, Feature Engineering, Data Cleaning.
AI/ML Techniques
Deep Learning, NLP, Generative AI, LLMs, Prompt Engineering, Ensemble Methods, Transfer Learning.
Computer Vision & GANs
OpenCV, CNNs, Autoencoders, Pix2Pix, GANs.
Deployment & MLOps
FastAPI, Streamlit, CI/CD, Docker, Azure ML.
Soft Skills
Communication, Critical Thinking, Problem Solving, Collaboration.
Algorithmic & Problem-Solving
LeetCode (350+ problems solved).