Typescript
,Node.js
,Next.js
,AWS
andPostgreSQL
. With a focus on Backend development. Enthusiastic about Generative AI, debug my code with tips from Sensei, Naruto🍥Featured
• Engineered a robust payment processing system using Node.js and Razorpay, implementing HMAC-SHA256 signature verification to validate and mitigate man-in-the-middle (MITM) attacks.
• Implemented a real-time recommendation system with Voyage AI and ConvexDB to show relevant content to users like YouTube.
• Built a Lambda to automatically remove unused EBS snapshots, reducing AWS storage costs.
May 2025 - November 2025
Bangalore, India (Hybrid)
• Optimized API performance by integrating Redis caching with Node.js, reducing response times from 7–8 seconds to under 10 milliseconds for frequently accessed endpoints, significantly lowering backend load.
• Used the Sidecar pattern to add logging and authentication without changing the main backend code, improving scalability, simplifying updates, and enhancing overall maintainability.
• Refactored code using SonarQube, Dockerized microservices for consistency, and integrated Redis and Kafka to enhance caching and event-driven communication.
• Used TanStack Query for API data fetching and Zod to input validation, improving performance and reliability
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A secure and modern S3 Web UI to browse, upload, and manage files with encrypted credentials and a clean responsive interface.
Autonomous AI agent that scrapes, analyzes, and semantically indexes web content using embeddings and vector search.
A modern addressing system that converts every 4m x 4m area in India into a unique 10-character code for accurate location identification.
A collection of projects where I challenge myself to build clones or core implementations of popular software systems from scratch.
About
I'm a Software Engineer & tech enthusiast, I have a passion for exploring new technologies, pushing boundaries, optimize backend systems.
Skills
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Fetching your GitHub activity data
All pull requests
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A single endpoint brought down the server. Learn how buffering large files silently eats memory—and how streaming can cut usage by 10×.
JIT compilation boosts JavaScript performance by compiling frequently used code into fast machine code at runtime, combining the speed of compiled languages with the flexibility of interpreters. This makes JavaScript faster without sacrificing its dynamic nature.
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Development
Journey
Design & Developed by Asim
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