I'm a Computer Science Dual Degree student at IIIT Bangalore, interested in backend engineering, developer tools, distributed systems, applied ML, and production-style software platforms.

I like building systems that go beyond simple CRUD apps — projects involving real infrastructure, automation, observability, ML pipelines, deployment, and engineering trade-offs.

Building a whole-slide-image based biomarker prediction pipeline for H&E histopathology slides using GigaPath/GigaTIME feature extraction and MIL/transformer-based slide-level modeling.

• Backend engineering and API platforms
• Developer tools and GitHub automation
• Microservices, distributed tracing, observability, and alerting
• Dockerized ML systems and predictive infrastructure
• Applied machine learning for healthcare and biomedical imaging
• Full-stack product engineering with Next.js, TypeScript, and PostgreSQL

Production-style GitHub App that analyzes pull requests using deterministic static rules and bounded LLM semantic review.

Features: GitHub App authentication, webhook ingestion, PR diff parsing, file classification, risk scoring, test recommendations, Markdown PR comments, JSON/SARIF exports, PostgreSQL persistence, FastAPI APIs, Docker deployment, Neon PostgreSQL, Groq LLM, pytest, Ruff, and mypy.

9-service Spring Boot observability platform for reconstructing distributed request flows, detecting slow/failing APIs, computing p95 latency/error analytics, and generating service-level alerts.

Tech: Spring Boot, PostgreSQL, Docker, Jenkins, JWT, API Gateway, Microservices

Forecasting-driven autoscaling system for Dockerized ML workloads using Prophet and LSTM to improve resource utilization and reduce SLA violations under dynamic traffic.

Recognition: Best Paper, Machine Learning Track — ICRACE 2026

Offline credential verification system using QR scanning, local validation, and client-side encrypted storage for network-constrained environments.

Tech: Next.js, TypeScript, zxing-wasm, Prisma, CryptoJS

ML Research Intern — E-Health Research Center
Worked on WSI-based biomarker prediction using GigaPath/GigaTIME feature extraction, MIL-based modeling, slide-level prediction, and attention heatmap workflows.

Software Development Engineer Intern — Rockmetric
Built production frontend and CMS-backed web systems using Next.js, TypeScript, Tailwind CSS, Strapi CMS, Netlify, and Strapi Cloud.

Teaching Assistant — Operating Systems Lab, IIIT Bangalore
Guided 230+ students on process management, synchronization, debugging, and system-level programming concepts.

• Best Paper, Machine Learning Track — ICRACE 2026.
• 1st place, Web Development category — Hacknite 2024.
• 99.48 percentile in JEE Mains 2023.
• 100 percentile in Physics, JEE Mains 2023.

Data Structures and Algorithms, Object-Oriented Programming, Operating Systems, Database Management Systems, Software Engineering, Machine Learning, Computer Architecture, and Computer Networks.