Current Status: Software Engineering Intern @ Manada Technologies > Focus: MLOps, RAG Systems, and Agentic Workflows.
I am a Computer Engineering undergraduate specializing in building scalable AI applications. I bridge the gap between research (Generative CV, VAEs) and production engineering (Next.js, FastAPI, Azure Cloud).
| Role / Project | Description & Impact | Tech Stack |
|---|---|---|
| Manada Technologies (Software Eng. Intern) |
Architected an anti-hallucination validation system for financial docs using Azure OpenAI. ‣ Result: Reduced hallucinations by 50% and enabled 100% data traceability. |
Azure OpenAI Python MLOps |
| AutoPM (2nd Place @ HackUTD) |
AI platform automating Product Management workflows using 8+ LangGraph agents. ‣ Result: Reduced workflow analysis from weeks to ~60 seconds. |
LangGraph Gemini API React |
| AgentFlow (In Development) |
Full-stack deployment platform for AI agents with sandboxed execution (VM2). ‣ Features: Real-time monitoring, GitHub OAuth, serverless API routes. |
Next.js TypeScript Prisma |
| CelestAI (ACM Research) |
Built generative CV models (DCGAN, VQGAN) to synthesize rare astronomical data. ‣ Result: Improved rare event detection recall by 15%. |
TensorFlow PyTorch CV |
