I am a results-driven Software Engineer specializing in building high-performance, intelligent systems and scalable backend architectures. Currently contributing to enterprise-level software at Texas Instruments, while independently engineering production-grade, multi-agent AI ecosystems.
🚀 Featured Engineering Work: Jarvis Personal OS
A Production-Grade Multimodal AI Orchestration System
- Multi-Agent Orchestration: Architected a deterministic routing engine to coordinate specialized, isolated AI agents (Finance, Health, Stocks, News) using Groq & Llama 3.
- Logic-NLP Decoupling: Engineered a system that uses LLMs strictly as NLP JSON parsers while a Python backend handles mathematical computations, ensuring zero hallucination risk.
- Multimodal Automation: Integrated Gemini 2.5 Flash for real-time visual parsing, enabling automated receipt logging and dietary macro estimation from images.
- High-Performance Infrastructure: Implemented Redis distributed caching and MongoDB compound indexes to bypass external rate limits and achieve
<50msresponse times. - Stateful Session Management: Built a MongoDB-backed short-term memory state machine to handle complex, multi-turn clarification loops.
Texas Instruments | Software Engineer Intern
Contributing to core software systems with a focus on performance optimization, robust system design, and scalable architecture.
| Category | Core Technologies |
|---|---|
| Frontend |     |
| Backend |      |
| AI / Data |     |
| Infrastructure |     |
"Committed to engineering software that scales, performs, and matters."