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Abhiraj Ghosh

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AG
Chandigarh, India / UTC+5:30Open to opportunities

AbhirajGhosh.

Software engineer, 3 years. I ship full-stack products on microservices architecture and integrate AI where it earns its keep — from RAG document agents to offline-first logistics software for the Indian Army.

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01

About

Three years in, I work across the stack with a bias for the backend — services, caches, queues, and the AI features built on top of them.

I've delivered offline-first logistics software for the Indian Army, automated enterprise workflows to 30% efficiency gains, and mentored junior engineers across product teams. Currently a Software Engineer L2 at Talentelgia Technologies, Mohali.

Location
Chandigarh, India — UTC+5:30
Role
Software Engineer L2, Talentelgia
Focus
Systems · AI Integrations
Education
MCA, Chandigarh University (2024– ) — CGPA 8.8 · BCA, Chandigarh University (2021–24) — CGPA 7.3
0
Years shipping software
0+
Production features delivered
0%
Page-load time cut
0
Engineers mentored
02

Experience

Talentelgia Technologies

Feb 2025 — Present
Mohali

Software Engineer L2 — Talentelgia Technologies

  • Architected and delivered an offline-first, NFC-based logistics system for the Indian Army, owning the full lifecycle from development through onsite deployment and stakeholder handoff.
  • Automated an M&A firm's manual workflows with async task processing, increasing operational efficiency by 30%.
  • Built an internal CRM for a visa consultancy, boosting team productivity by 25%.
Vaayro Technologies

Nov 2023 — Jan 2025
Mohali

Software Developer — Vaayro Technologies

  • Shipped 10+ production features across Next.js, Node.js, and Express.js.
  • Cut page load times by 70% via Redis caching and improved real-time tracking performance by 40% with Socket.IO.
  • Mentored 4 junior developers on code quality, debugging, and system design.
03

Selected Work

Independent — AI / RAG

MindAgent

AI-powered document intelligence agent

Production-grade RAG agent (LangChain + OpenAI) with hybrid search (MMR + RRF), multimodal LLM support, and token-based rate limiting for enterprise-scale document Q&A. Deployed end-to-end on serverless AWS Lambdas via CDK with Pinecone vector storage.

LangChain / OpenAI / Pinecone / AWS Lambda / CDK / TypeScript

40%

better response accuracy over baseline

GitHubLive

Personal — Distributed systems

Social Media API

Distributed microservices backend

5 independent microservices behind a centralized API Gateway with rate limiting and load balancing, containerized with Docker. Redis sits in front of hot paths to keep reads off the database.

Node.js / Express / Redis / Docker / API Gateway / MongoDB

65%

faster API responses via Redis caching

GitHub

Freelance — Client platform

Mindful by Akansha

Blog platform for a psychologist

Responsive, SEO-optimized blog with Sanity CMS, structured so the client publishes fully independently — no ongoing dev involvement required.

Next.js / Sanity / Tailwind / Vercel

100%

client-owned publishing, zero dev involvement

Live
04

Stack

Backend
Node.jsNode.jsExpressExpress.jsTypeScriptTypeScriptJavaScriptJavaScriptRedisRedisSocket.ioSocket.IOREST APIsMicroservices
Frontend
Next.jsNext.jsReactReact.jsReduxRedux
Cloud & DevOps
AWSDockerDockerNGINXNginxAPI GatewayCI/CDLinuxLinux
AI / ML
LangChainLangChainOpenAIRAGAI Integrations
Databases
MongoDBMongoDBPostgreSQLPostgreSQL
Tools
GitHubGit / GitHubPostmanPostman