
GenAI & Data Scientist with 3 years of experience designing enterprise-grade AI and Agentic AI solutions. Proven track record of building LLM-powered systems, geospatial optimization models, and predictive analytics solutions that reduced logistics costs by 18%, improved delivery timelines by 25%, and automated 40% of customer support queries. Experienced in translating complex business problems into scalable AI systems across supply chain, sales, and customer experience.
Programming:
Python, SQL
Generative AI & NLP:
Agentic AI, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Amazon Bedrock, Google Vertex AI, Hugging Face
Geospatial Analytics:
Spatial Data Analysis, Spatial Clustering, Google Maps API
Machine Learning & MLOps:
Supervised and Unsupervised Learning, MLflow, MLOps, FastAPI, Docker, Kubernetes, CI/CD Pipelines
Deep Learning:
Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Transformers
1. Agentic AI-Powered Dealer Sales Executive Support Chatbot – Tata Motors
Type: Production-Grade Agentic AI System
Tech: LangChain, Gemini 2 Pro, Vertex AI, GCP, Python
2. GenAI-Powered Sales & Dealer Intelligence Agent – Tata Motors
Type: Enterprise GenAI + Agentic AI
Tech: Python, LangChain, LangGraph, Gemini (Vertex AI), SQL, Plotly, GCP
3. Dealer Sales Executive (DSE) Route Optimization – Tata Motors
Type: Geospatial Analytics & Optimization
Tech: Python, GeoPandas, DBSCAN, Google Maps API, Google Distance Matrix API,Lepton API