Shanu Raghuwanshi
@yogeshkumarpatel
I build production GenAI, RAG, and computer vision platforms with Python, LangChain, FastAPI, and AWS.
What I'm looking for
I've built production AI platforms including TrainIQ, an enterprise LMS with AI-generated courses, assessments, tutor Q&A, video content, multi-tenant RBAC, and real-time streaming responses.
At Upstart AI, I also built PeopleCount, a computer vision footfall analytics platform using YOLO, ByteTrack, FastAPI, React, Redis, and WebSockets to deliver real-time counting across multiple camera feeds.
At Mindcrew Technologies, I led end-to-end GenAI development for enterprise clients, building RAG pipelines with LangChain, LlamaIndex, OpenAI GPT-3.5/4, Weaviate, and pgvector. I deployed scalable FastAPI and Django APIs, implemented CI/CD with GitHub Actions and Docker, and mentored junior developers.
My work spans document intelligence, multi-agent business automation, sales automation, semantic search, and ML-driven agricultural monitoring. I enjoy turning complex AI workflows into reliable, production-grade products.
Experience
Work history, roles, and key accomplishments
AI/GenAI Developer
Upstart AI
Dec 2025 - Aug 2026 (8 months)
Developed TrainIQ, an enterprise LMS backend, and PeopleCount, a computer vision-based footfall analytics platform. Built AI-powered course creation, multi-tenant architecture, and real-time analytics.
Education
Degrees, certifications, and relevant coursework
LNCT College
Master of Computer Applications, Artificial Intelligence & Machine Learning
2021 - 2023
Pursued a Master of Computer Applications with a specialization in Artificial Intelligence and Machine Learning.
Barkatullah University
Bachelor of Computer Applications, Computer Applications
2016 - 2019
Completed a Bachelor of Computer Applications degree.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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