Technical Support Engineer with 3+ years of experience in production systems, SQL-based analysis, debugging, and root cause analysis, currently transitioning into AI/ML and GenAI Engineering.
I am building hands-on experience through end-to-end projects in Machine Learning, Retrieval-Augmented Generation (RAG), MLOps, model deployment, and AI-powered applications.
Local Retrieval-Augmented Generation system for querying PDF study notes using Sentence Transformers, ChromaDB, and Ollama.
End-to-end machine learning pipeline with model comparison, MLflow experiment tracking, FastAPI serving, monitoring, automated retraining, Docker, testing, and GitHub Actions CI.
Exploratory data analysis of telecom customer churn to identify churn drivers, high-risk customer segments, and potential retention strategies.
Dockerized machine learning classification pipeline using scikit-learn and the Palmer Penguins dataset.
Programming: Python, SQL
Machine Learning: scikit-learn, Classification, Model Evaluation, Cross-Validation
Generative AI: RAG, LLMs, Embeddings, Semantic Search, Sentence Transformers, ChromaDB, Ollama
Data Science: Pandas, NumPy, Data Cleaning, Exploratory Data Analysis
MLOps: MLflow, FastAPI, Docker, Git, GitHub Actions, Pytest
Data & Monitoring: MySQL, Hive, Presto, Grafana, New Relic
- Retrieval-Augmented Generation and advanced RAG architectures
- Generative AI and multimodal systems
- Production ML and MLOps
- Model evaluation and monitoring
M.Tech in Artificial Intelligence & Data Science
IIIT Kottayam
B.Tech in Information Technology
Cochin University of Science and Technology