Vansh Parate

AI Backend Engineer · Agentic AI, cloud-native backend, and production automation

Mumbai, Maharashtra, India

@vanxh10

0 followers

🎓 BTech in Electronics and Telecommunication Engineering at Sardar Patel Institute of Technology · Graduating 2028

About

AI Backend Engineer with experience building agentic AI systems, cloud-native backend services, and production-focused infrastructure using Python, LangGraph, RAG, Docker, Kubernetes, Redis, and modern LLM tooling. Interested in reliable AI systems, backend engineering, and production automation.

Experience

Hacktoberfest 2025

Freelance

Oct 2025 – Nov 2025

Developed 2 payment migration tools for Dodo Payments (Lemon Squeezy, Paddle), now live in production. Collaborated across 2 open-source repositories, completing 10+ review iterations and incorporating maintainer feedback across 6 merged PRs.

Education

BTech

Sardar Patel Institute of Technology

Electronics and Telecommunication Engineering · Sep 2024 – Jul 2028

Skills

<3 months

C zod React Python Vitest Node.js Next.js Swagger LangChain LangGraph Express.js JavaScript TypeScript

Tools / apps / platforms

<3 months

Git Redis Docker GitHub Ollama QDrant MongoDB Kubernetes PostgreSQL Lemon Squeezy GitHub Actions

Projects

Rate Limiting Service - Cloud Native Backend Infrastructure

TypeScript, Node.js, Express.js, Redis, Lua, Docker, Kubernetes, GitHub Actions, Swagger

Production-ready rate limiting service implementing Token Bucket and Fixed Window algorithms using Redis and Lua scripting. Containerized and orchestrated the service with Docker and Kubernetes with CI covering unit and integration testing.
RehabOS - AI-Powered Rehabilitation Tracking Platform

React, TypeScript, Node.js, PostgreSQL, Drizzle ORM, Express, React Native Expo, LangGraph, Python, JWT, Tailwind CSS

Full-stack rehabilitation platform tracking physical and cognitive recovery via a proprietary Dual Recovery Index (DRI). Engineered a LangGraph AI feedback agent integrating multimodal analyzers for post-session recovery insights.
Operion

Python, FastAPI, Kubernetes, LangGraph, Qdrant, Sentence Transformers, Ollama, Qwen, Docker, Minikube

Agentic AI system for Kubernetes incident investigation using RAG, grounding diagnosis in pod state, events, application logs, and deployment configuration. Implemented a LangGraph-based remediation workflow for safe tool use, approval, and recovery verification.

🏆 Achievements & awards

Top 3 in All India 24 hours Nakshatra Hackathon

Organised by APSIT.
Top 3 in VEGA Hackathon

Organised by SAKEC.

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