- Recent internship at Sentari AI (real-time infra, async pipelines, natural-language reminders)
- Worked on geospatial risk modeling for 10K+ insured assets (Assured Guaranty)
- Contributed to GRASS GIS & ISRO-backed geospatial research
- MSCS @ NC State (4.0/4.0 GPA )
- Building distributed systems, agentic workflows & production AI
- Fun fact: I love volleyball & travelling
- Built natural-language reminders → 80% fewer manual inputs, +35% engagement
- Event-driven notifications → sub-second latency, 99.9% uptime
- React/TS optimizations → 45% faster load, 40% fewer UI bugs
- Geospatial pipeline for 10K+ assets → 70% faster queries
- Automated FEMA/NOAA ingestion with CI/CD
- Delivered dashboards → 50% less underwriting time
- Refactored GRASS GIS C modules → fixed 30+ defects
- Added regression suites → +40% more test coverage
- Built full-stack Virtual Wardrobe with real-time DL inference
- Scraped 10K+ images for model training
- Optimized inference → <10s latency, +60% throughput
- Built Kafka Explorer (React + Spring Boot) for 50 topics
- Optimized system latency by 40%
- Integrated CI/CD pipelines for enterprise releases
Kubernetes · Python · TypeScript · GKE · MCP
- Distributed microservices orchestrated with MCP
- GKE autoscaling + monitoring
- 40% lower system latency
🔗 https://devpost.com/software/affordability-twin-agentic-risk-analytics
Flask · React · Blockchain · MongoDB
- Blockchain-enforced identity & transactions
- 30% reduced server overhead, +25% user engagement
🔗 https://devpost.com/software/phantom-pack
Flask · Deep Learning · React
🔗 https://virtualstylist.app/
- Reliable Crop Analysis Using GIS & Ground-Truth Data, IJIT, 2024
- Raster Big Data Processing Using Spark & GeoTrellis, Springer (ISRO Collaboration), 2023
