Harsh Kamde
@harshkamde
I build production GenAI, RAG, and full-stack systems serving thousands of users.
What I'm looking for
I build production GenAI and full-stack products, most recently at Zipnom, where I develop AI-enabled SaaS systems for roughly 48K users processing millions of records daily. I create conversation-driven automation, natural-language enterprise data querying, and multi-tenant AWS infrastructure.
At Zarthi, I delivered real-time analytics dashboards and 10+ production modules for a high-scale platform, improving API response performance by 35%. As a founding member of NirogSathi, I shipped an AI healthcare platform with disease prediction, appointments, digital health records, and multi-role access.
I also build practical AI systems including AeroCare for aircraft maintenance recommendations, CorpStream for MCP-powered company intelligence, RailNetra for railway monitoring, and a high-scale IoT ingestion engine handling 28.8M records per day.
Experience
Work history, roles, and key accomplishments
Full Stack / AI Engineer
Zipnom
Mar 2026 - Present (6 months)
Developed AI-enabled SaaS products for ~48K users, processing millions of records daily. Built GenAI-powered automation using OpenAI, LangChain, and agentic workflows for intelligent data querying.
Education
Degrees, certifications, and relevant coursework
Sagar Institute of Science, Technology and Research (SISTec)
Bachelor of Technology, Computer Science and Engineering
2021 - 2025
Grade: 7.67/10
Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a CGPA of 7.67/10.
Tech stack
Software and tools used professionally
Postman
Microsoft Azure
GitHub
Kubernetes
Amazon EKS
GitHub Actions
React Native
MySQL
PostgreSQL
MongoDB
Node.js
Django
Next.js
NestJS
Tailwind CSS
OpenCV
Redis
Terraform
JavaScript
HTML5
ES6
JSON
scikit-learn
Kafka
BullMQ
FastAPI
Linux
GraphQL
Firebase
JSON-RPC
AWS Lambda
Serverless
Vercel
NGINX
Time Analytics
GuardRails
SQL
Hugging Face
Supabase
Qdrant
LangChain
Weaviate
Pinecone
Railway
OpenAI API
Cursor
Ragas
Agentic
Faiss
LangGraph
Model Context Protocol (MCP)
100ms
Stack AI
Availability
Location
Authorized to work in
Website
nirogsathi.comPortfolio
github.com/harsh-kamde/AeroCareJob categories
Skills
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