Hi, I'm Aditya 👋
Software Engineer trying (and occasionally failing) to become an entrepreneur. I build stuff, help people, and hang out on Insta.
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About

I’m a backend developer who’s been in the game long enough that version numbers actually mean something to me. I spend my days building scalable systems designing APIs that behave, databases that don’t panic under pressure, and deployments that (mostly) go smoothly. I enjoy turning complex backend chaos into something stable, efficient, and quietly powerful the kind of stuff users never see, but everything breaks without.

Work Experience

V

VCBay Solutions Pvt Ltd

July 2025 - Present
Backend Engineer
Building AI-driven backend systems at scale, powering semantic search across 5M+ entities, agentic lead automation, LLM workflows, and resilient multi-model infrastructure. Built search and retrieval workflows over 2.7M+ startups and 3M+ investors combining structured filters with Pinecone semantic search and MongoDB-backed profile retrieval. Built an AI-powered lead intelligence pipeline that extracts, classifies, deduplicates, and qualifies leads, syncing them with the CRM and triggering automated assignments, follow-ups, and escalations. Built an AI presentation generation system and a multi-provider LLM infrastructure with automatic model fallback and provider-aware retries. Built asynchronous background workflows using BullMQ and Redis for delayed jobs and post-signup automation.
Z

ZFIN Tech Pvt Ltd

December 2023 - July 2025
Software Developer
Designed and shipped 10+ RESTful APIs using a modular layered architecture (routes → services → repositories), reducing endpoint latency by 20% and improving maintainability. Investigated production query bottlenecks using EXPLAIN ANALYZE and query profiling, added indexes for frequently filtered fields, and improved database response times without requiring schema redesign. Integrated 5+ third-party APIs across payment, KYC, and SMS workflows with retry logic, reducing integration delivery timelines by 25%. Engineered an offline product activation mechanism combining public/private-key cryptography, machine fingerprinting, and hardware identifiers to generate and verify device-bound license keys. Optimized frequently accessed API endpoints using Redis caching and TTL-based invalidation.

Skills

TypeScript
Node.js
Express.js
NestJS
Python
MongoDB
PostgreSQL
Redis
BullMQ
AWS
Docker
REST APIs
Microservices
Socket.io
LLM Applications
AI Agents
RAG
LangChain
LangGraph
Pinecone
JWT / OAuth 2.0
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

DynoQr

Built a Node.js dynamic QR code and URL shortening backend with unique short-code generation, redirect handling, and mutable destination mappings, allowing destination URLs to be updated without regenerating QR codes. Implemented Redis caching and asynchronous event processing for scan analytics, decoupling the redirect path from analytics workloads while capturing device, location, and timestamp metadata.

Node.js
Express.js
MongoDB
Redis
AWS
JavaScript
REST APIs
JWT

AI Incident Response & SRE Agent

Built an AI-powered incident response platform that analyzes application logs, metrics, errors, and deployment history to investigate production incidents and identify probable root causes. Implemented tool-calling agents capable of querying observability data and generating structured incident reports with evidence, recommended remediation steps, and human approval gates. Designed asynchronous incident processing using Node.js, Redis, and BullMQ with persistent workflow state, retries, and audit logs for reliable long-running investigations.

Node.js
Redis
BullMQ
AI Agents
Tool Calling
LangChain
Observability
Contact

Get in Touch

Want to chat? Just shoot me a dm with a direct question on LinkedIn and I'll respond whenever I can. I will ignore all soliciting.