AI Automation & Full-Stack Engineer | Google SWE Intern '25
Designed and shipped customer-facing time zone configuration feature for SecOps logging system, projected to reduce support tickets by ~50% and improve operational efficiency across enterprise clients.
Architected production AI pipeline automating investor outreach at scale for US Search Fund clients. Built end-to-end automation: LinkedIn profile ingestion → API enrichment → ML scoring → LLM intelligence extraction → personalized email generation. Reduced manual research from hours to minutes per prospect.
AI-Native Database Engine - Built natural-language-to-SQL engine using local LLMs, reducing query latency from 1.5s to <300ms through semantic caching (90% fewer LLM calls).
High-Density Encoding System - Engineered custom protocol achieving 200x QR code capacity (~256 KB in 512×512 PNG) using color channel optimization.
AI Lip-Sync & AR Platform - Developed AI system generating realistic talking animations from static images and audio. Presented to Governor of Telangana demonstrating AI applications.
AI Marketing & Sales Platform - Building comprehensive AI platform automating brand analysis, multi-platform content generation, lead discovery via Google Maps, and personalized sales outreach.
Medical AI Platform - Led team of 4 integrating AI diagnostic models (Lung Cancer, Brain Tumor, Breast Cancer, Diabetes). Placed Top 10/400 teams at Microsoft-sponsored national hackathon.
+ Many more unique projects exploring AI, automation, and full-stack development on GitHub