Backend Engineer · PES University, Bengaluru · Class of 2026
I build backend systems — microservices, event-driven pipelines, and distributed infrastructure. Recently wrapped up a production engineering internship at SIXT R&D India, where I worked on a customer communication platform serving millions of users globally. Co-author of a paper published at VISAPP 2026.
Languages · Java · JavaScript · Python · C · C++
Backend · Spring Boot · Apache Kafka · gRPC · REST APIs · Node.js · Express
Frontend · React · HTML/CSS
Databases & Tools · MySQL · MongoDB · Docker · Git · Gradle
Software Development Engineer Intern — SIXT R&D India (Jan – May 2026)
Unveiling AI-Manipulated Medical Images: Detecting and Localizing Tampered Areas VISAPP 2026 · pp. 786–793
Multi-stage forensic framework for detecting and localizing GAN/diffusion-based CT scan manipulations. Dual-stream detector F1 = 0.937 · U-Net++ segmentation Dice = 0.92 · 10,844 CT slices.
| Project | Stack | Description |
|---|---|---|
| distributed-logging-system | Kafka · Elasticsearch · Kibana | Scalable log aggregation pipeline with real-time anomaly detection |
| faas-engine | FastAPI · Docker · gVisor | Self-hosted FaaS platform with warm container pooling, rate limiting, API key auth & CI/CD |
| Ecommerce-MVC | Spring Boot · MongoDB · Stripe | Role-based shop with Spring Security auth and Stripe payment integration |
| Socket-Chat | React · Node.js · Socket.IO | Real-time chat app with private/group messaging and live presence indicators |
