AI Engineer with 2.5+ years of experience delivering production-grade data-driven AI/ML solutions in Agentic Workflows, Enterprise RAG Architectures, and Computer Vision to drive automation, insights, and impact at business scale.
Transformers (BERT, GPT), RAG, LangChain, Agentic AI, Prompt Engineering, Fine-Tuning
OpenCV, Deep Learning, Image Segmentation, Feature Extraction, Video Analysis
Python, FastAPI, Flask, REST APIs, Microservices, Asynchronous Processing
PySpark, Pandas, SQL, BigQuery, Elasticsearch, Vector DBs, ETL Pipelines
Docker, Jenkins, Kubernetes, AWS, GCP, Linux, CI/CD
Conduct actuarial factor analysis for CVS Health (Aetna). Engineered churn analytics models improving customer retention from 49% to 60% and delivering actionable insights to stakeholders.
Architected ChatDB and FileQAExpert, serving 10,000+ monthly queries via RAG pipelines. Deployed real-time anomaly detection for government exams (improving efficiency by 40%) and automated financial workflows.
Developed Social Sentinel, a real-time NLP system for monitoring and classifying offensive content on Telegram. Contributed to IEEE publications through applied experimentation.
A robust local LLM server with a modern chat UI. Features automatic Hugging Face model downloading, VLLM backend integration, and "thinking process" visualization.
An AI-powered product for C-DAC providing real-time vigilance and video analysis to identify anomalies and ensure integrity in public exams.
Agentic AI Reasoning Platform routing intelligent queries between SQL databases and Vector Stores for grounded RAG responses.
LLM-driven NLP pipelines for sentiment modeling and thematic clustering to identify latent behavioral insights from social streams for mental health detection.
Hybrid recommendation system using lyrical semantics and audio feature embeddings, powered by Collaborative Filtering and Graph-based similarity modeling.
Built a real-time computer vision pipeline leveraging deep learning models for automated violence detection.
Read on IEEEDesigned a hybrid Quantum-inspired LSTM architecture to improve forecasting accuracy in financial markets.
Read on IEEEDeveloped an ML-driven clinical risk prediction framework using advanced feature engineering.
Read on IEEEPondicherry University | CGPA: 9.35/10 Top 3 Rank
IIT Madras | CGPA: 8.8/10
Vidyasagar University | CGPA: 9.08/10