I build intelligent AI systems that turn complex data into real-world impact — from production ML pipelines to LLM-powered applications.
I'm a Data Scientist and AI Engineer with 3.5+ years of experience building scalable, production-ready AI systems across the full ML lifecycle — from data pipelines and feature engineering to model deployment and monitoring.
Currently at PTC Inc., I'm engineering RAG pipelines and AI copilots using LangChain and LlamaIndex, while developing time-series forecasting models for IIoT predictive maintenance.
I'm passionate about making AI explainable, reliable, and impactful — bridging cutting-edge research with production reality.
Production-grade ML pipeline with Kafka ingestion, Spark processing, Scikit-learn models, MLflow tracking, and REST API predictions with automated drift detection.
Reviewed 50+ papers on LLM-powered recommenders. Implemented hybrid recommendation using GPT, BERT, T5, LLaMA with collaborative filtering and content-based methods.
RAG-powered chatbot with Sentence-BERT embeddings and FAISS vector retrieval for accurate responses across 20+ support categories with hallucination reduction.
Enhanced recommendation accuracy and personalization by designing a Siamese Neural Network-based recommender system that learns similarity representations between complementary products. Presented at Aavishkar Inter-college Research Convention.
Open to senior Data Scientist and AI Engineer roles. Let's build something intelligent together.
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