I'm an AI Engineer focused on agentic systems and RAG. B.Tech in AI & Data Science, REVA University, Bengaluru (June 2026). Ex-SDE Intern @ Taar.AI, Data Science Intern @ iStudio Technologies.
🎯 Focus: Agentic AI · Multi-Agent Systems · RAG · Indic AI
- Kannada RAG Agent: RAG pipeline for a 346-page scanned Kannada novel. EasyOCR for extraction, LangChain + ChromaDB for retrieval, Sarvam AI TTS for audio answers. Deployed on Streamlit Cloud.
- Customer Churn & Retention ROI System: XGBoost model with SHAP explainability, an interactive retention ROI simulator (simulated scenarios), and a Dockerized Streamlit dashboard.
- Lumina : multi-agent career platform: JD Decoder, Resume Analyzer, ATS Scorer, report generation, plus LuminaPlay, an experimental job-application agent. Built solo with LangChain, LangGraph, Gemini 2.0 Flash, Supabase. Paused after reliability and orchestration issues; main lesson was that agent pipelines need evals and failure handling from day one.
- Taar.AI, SDE Intern: backend work in Kotlin/Dropwizard: authentication service and REST API, containerized and deployed to Kubernetes via Azure Container Registry.
- iStudio Technologies, Data Science Intern (Feb–May 2026): built an analytics dashboard with an ROI simulation module; worked on ML pipelines and exploratory analysis in Python.
- Languages: Python · SQL
- AI/ML: LangChain · LangGraph · RAG · XGBoost · Scikit-Learn · SHAP
- Backend/Data: FastAPI · Supabase · Pandas · REST APIs
- Infra: Docker · Kubernetes · Azure · Vercel · Git
- Vector DB: ChromaDB · Qdrant
Salesforce Agentforce Specialist · Oracle Agentic AI Foundations Associate · DataCamp AI Engineer Associate · IBM ML Professional Certificate · Google Advanced Data Analytics
Open to Gen/Agentic AI, AI/ML Engineering, and Data Science roles in Bengaluru (hybrid/remote).