I'm a backend developer interested in building APIs, working with databases, and learning how real systems handle load and failure.
I mostly work with Go, C#, .NET, Python, PostgreSQL, Redis, Docker, and AWS.
I'm also interested in distributed systems and applied ML.
- Backend: Go, C#, ASP.NET Core, FastAPI, REST, gRPC
- Databases: PostgreSQL, Redis, MongoDB
- Cloud & DevOps: AWS, Docker, GitHub Actions, Linux, Bash
- Testing: xUnit, pytest, Testcontainers, k6
- ML: Python, PyTorch, BERT, embeddings
C#, .NET 10, ASP.NET Core, EF Core, PostgreSQL, Redis
- Built a URL shortening API with ASP.NET Core Minimal APIs.
- Added custom aliases, collision handling, and Google OAuth.
- Used Redis to collect click events before writing them to PostgreSQL in batches.
- Added caching and rate limiting for API endpoints.
- Added integration tests with xUnit, PostgreSQL, and Testcontainers.
FastAPI, PostgreSQL, Redis, Celery, AWS, Expo
- Built a backend for managing multiple gyms and their data.
- Used PostgreSQL for tenant-isolated data and Redis + Celery for background tasks.
- Used
pg_trgmfor fuzzy search and BRIN indexes for audit logs. - Built a Redis rate limiter using Lua and tested it under concurrent load with k6.
- Deployed the application using AWS EC2 and S3.
Go, PostgreSQL, Redis, AWS ECR
- Built a banking API with account and transfer operations.
- Used PostgreSQL transactions to keep account and transfer data consistent.
- Added Redis-backed background jobs for asynchronous work.
- Set up GitHub Actions for testing and Docker image deployment to AWS ECR.
- Load tested the API and tracked p99 latency.
Next.js, FastAPI, PostgreSQL, Redis, pgvector
- Built a movie recommendation service using BERT embeddings.
- Used cosine similarity to find similar movies.
- Stored the embeddings in PostgreSQL using
pgvector. - Added Redis caching for frequently requested recommendations.
- Exposed the recommendation system through a FastAPI backend.
Open Source Contributor | July 2025 - September 2025
- Improved backend error handling with structured logging and better exception handling.
- Added regression tests to the CI/CD pipeline.
- Built an image upload and processing pipeline with input validation and cloud storage.
Heritage Institute of Technology
B.Tech in Electronics and Communication Engineering CGPA: 8.32 | 2022 - 2026
Relevant coursework: Data Structures, Algorithms, Distributed Systems, Operating Systems, Computer Networks