Aman Singh | Backend & Applied AI Engineer

Backend and Applied AI Engineer specializing in scalable systems. Currently focusing on performance and clean architecture using Golang, Python, Kafka, and more.

Core Expertise

• Languages: Golang, Python, C++, TypeScript, Java
• Backend & Data: PostgreSQL, Redis, MongoDB, Kafka, Node.js, FastAPI, gRPC
• DevOps & Cloud: Docker, Kubernetes, AWS, CI/CD

Key Projects

1. Competitive Coding Platform

• Stack: Golang, PostgreSQL, Redis, Docker
• Optimized backend to handle 46,000+ code executions and 500+ concurrent users with <200ms response times
• Implemented submission queue and Redis caching to improve performance

2. GitHub PR Reviewer Agent (AI-Powered)

• Stack: Python, Kafka, Redis, LangChain
• Built an AI bot to review Pull Requests and suggest improvements like a senior engineer
• Designed event-driven pipeline for parallel PR processing with <300ms latency
• Used AST-based code chunking to improve review accuracy by 70%

3. DevTrackr VS Code Activity Tracker

• Stack: TypeScript, React, Node.js, MongoDB, Prisma
• Built a VS Code extension to track coding activity with anti-cheat detection
• Added cloud sync and analytics dashboard covering 1000+ coding sessions

Internship Experience

Armur AI | Backend Engineering Intern

• Rewrote code security tool from Python to Golang → 25% faster
• Built Kafka-based event-driven system for scalable request handling
• Created dashboard APIs with optimized PostgreSQL queries for real-time stats

Stride AI | Fullstack Engineer Intern

• Improved OCR scan performance by 20% via multithreading and backend optimization
• Increased backend test coverage to 90% with integration tests