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I'm a Computer Science Engineering student at BMS Institute of Technology and Management, focused on AI engineering and full-stack development. I build systems around LLMs, agentic workflows, RAG/CRAG, retrieval, machine learning, backend engineering, and real-time applications. I enjoy taking ideas from the AI layer → backend → product and turning them into usable software.
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01 · CURRENT ROLE 02 · CORE FOCUS 03 · SELECTED BUILDS |
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LLM Applications |
RAG / CRAG |
React |
Prediction |
Agentic AI Workspace & Personal OS
A full-stack AI workspace combining conversational AI, web search, Deep Research, coding, document understanding, memory, productivity, and real-world tool actions.
React Python FastAPI PostgreSQL pgvector LangGraph MCP Docker
01 — AI SYSTEMS
Multi-model LLM routing, RAG/CRAG, hybrid retrieval, embeddings, reranking, persistent memory and grounded generation.
02 — AGENT WORKFLOWS
Research, coding, tool calling, project context and real-time streaming.
03 — REAL-WORLD ACTIONS
Google Calendar, Tasks, Reminders, Goals and GitHub MCP workflows.
AI-Powered Team Collaboration & Productivity Platform
A full-stack collaboration platform combining real-time messaging, direct communication, meetings, task management, WebRTC calling, and AI-powered meeting intelligence.
React TypeScript Node.js Express MySQL Socket.io WebRTC NVIDIA Nemotron
01 — COLLABORATION
Channels, direct messages, Kanban task management and real-time communication.
02 — MEETINGS
WebRTC audio/video meetings with real-time signaling.
03 — AI INTELLIGENCE
Transforms transcripts and chat history into summaries, decisions, blockers and actionable tasks.
Customer Retention & Churn Intelligence System
An AI/ML decision system connecting churn prediction, risk explanation, retention strategies and ROI analysis.
Python React FastAPI XGBoost Scikit-Learn TreeSHAP NVIDIA Nemotron
01 — PREDICT
Identifies high-risk customers using behavioral and transactional data.
02 — EXPLAIN
Uses XGBoost and TreeSHAP to identify the factors driving individual churn risk.
03 — DECIDE
Evaluates retention offers using customer lifetime value, expected profit at risk and projected ROI.
LangChain · LangGraph · OpenAI SDK · RAG / CRAG · Embeddings · Vector Search
FastAPI · Node.js · Express.js · PostgreSQL · MongoDB · pgvector · REST APIs
VeloxCodeAgency · June 2026
Contributed across full-stack development workflows involving implementation, debugging, feature development and delivery.
SuccessPath Classes · January 2026 – February 2026
Contributed to full-stack development workflows across feature implementation, debugging and deployment.
B.E. in Computer Science Engineering
Bengaluru, India · CGPA: 8.72 · 2024–2028
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Agentic AI Sprint Workshop + Hackathon |
National-Level Sustainathon |


