Senior software engineer with 5+ years architecting fault-tolerant, high-throughput distributed systems and full-stack applications — spanning real-time fintech, healthtech, LLM orchestration, and multi-agent agentic AI.
- Currently engineering a production-grade banking platform — owning full delivery across 4 squads and 20+ engineers
- Building MONET — a multi-agent agentic AI financial platform (LangChain, LangGraph, RAG, Plaid)
- Building JOBVIS — an AI-powered job intelligence and matching platform
- Published researcher in Springer LNCS: Intelligent Traffic Management using ML and IoT
- Patent pending: Live Digital Traffic Management System (Bay Detection and Dynamic Queuing)
- Open to full-time roles in AI engineering, distributed systems, and full-stack product development
| Project | Description | Stack |
|---|---|---|
| MONET | Multi-agent AI financial platform — 93% RAG accuracy, sub-100ms retrieval, 2.5% monthly ROI | LangChain · LangGraph · Azure · Plaid |
| JOBVIS | AI-powered job intelligence — scrape, filter, match, and rank with LLM reasoning | Python · FastAPI · React · Chrome Extension |
| MindKeep | 100% local-first AI second brain — on-device LLM, AES-GCM encryption, semantic search | TypeScript · React · Gemini Nano · Transformers.js |
| Traffic Management | City-scale CV traffic system across 50+ intersections · Springer published · Patent pending | C++ · TensorFlow · OpenCV · Node.js |
| WEB HUNTER | Desktop web reconnaissance — DNS enumeration, SSL analysis, subdomain discovery | Python · Tkinter |
| Smart Home | IoT home automation with voice control, energy monitoring, and real-time sensor data | Android · Arduino · Firebase · MQTT |
| Toolkit for WhatsApp | All-in-one WhatsApp companion — 7 modules, 1M+ downloads | Android · Java · Firebase |
Publication — Springer LNCS: Intelligent Traffic Management using ML and IoT — peer-reviewed research on production ML systems at city scale DOI: 10.1007/978-3-030-77637-4_2
Patent (Pending) — Live Digital Traffic Management System — Bay Detection and Dynamic Queuing Algorithms
Research — Cybersecurity Challenges in EV Charging Infrastructure
| Degree | Institution | GPA | Year |
|---|---|---|---|
| M.S. Computer Science | University of Colorado Denver | 3.62 / 4.00 | 2022 – 2024 |
| B.E. Computer Science | Panimalar Engineering College | 7.62 / 10.00 | 2015 – 2019 |


