Jeevraj Taralkar
@jeevrajtaralkar
AI Product Engineer who builds production full-stack LLM, RAG, and agent systems end to deployment.
What I'm looking for
I’m an AI Product Engineer and full-stack engineer with 7 years of experience building production AI products from idea to deployment. I focus on customer-facing solutions—RAG assistants, enterprise analytics copilots, and agentic workflows—designed for real teams and real usage.
In my recent role, I built and scaled LLM pipelines (FastAPI + OpenAI) for automated analytics and reporting used by 800+ global managers. I led a production agentic AI system handling 3,000+ daily interactions, and owned the end-to-end flagship Agentic AI platform that delivers 60%+ time savings in patent drafting for IP law firms.
I also build the full stack around these capabilities. I’ve shipped enterprise RAG chat experiences with persistent session history and document-grounded responses, and delivered products across frontend, backend, and LLM infrastructure in fast-moving startup environments.
Previously, I developed and deployed a GenAI-powered LMS live across 3 Indian states (10K+ monthly sessions), including AI doubt-solving and MCQ generation that reduced teacher effort by 40%. I bring strong engineering fundamentals—microservices, microfrontends, Docker—and I actively mentor and standardize frontend/backend best practices.
Experience
Work history, roles, and key accomplishments
Software Engineer (AI Product)
Findability Sciences
Jan 2025 - Present (1 year 6 months)
Built and scaled LLM pipelines (FastAPI + OpenAI) for automated analytics and reporting, and led development of a production agentic AI system for high-volume interactions. Owned the flagship agentic AI platform and built an enterprise RAG chatbot with persistent session history and document-grounded responses.
Full-Stack Engineer (AI)
Vridhee Innovations
May 2024 - Jan 2025 (8 months)
Built and deployed a GenAI-powered LMS using React, Node.js, and FastAPI across multiple regions, and shipped LLM-based doubt-solving and MCQ generation. Designed a microfrontend plus Python microservices architecture to reduce deployment time and mentored junior engineers on frontend/backend best practices.
Product Engineer
EduFund
May 2023 - Mar 2024 (10 months)
Designed and shipped an end-to-end mobile onboarding flow and built a GenAI chatbot for college fee prediction using Python and OpenAI APIs. Worked across web (Next.js), mobile (React Native), and backend (FastAPI, Node.js).
Full-Stack Web Developer
HeadGear Audio
Aug 2019 - Apr 2023 (3 years 8 months)
Built an end-to-end e-commerce platform using Next.js with a Python FastAPI backend. Implemented analytics dashboards, API integrations, and SEO optimizations.
Technical Sales & Operations
Various Organizations
Jan 2008 - Jan 2019 (11 years)
Technical sales and operations work in the chemical industry across various organizations.
Open Source Contributor
GSSoC ’23 and SSOC ’23
Contributed to open source projects by implementing authentication using Firebase (backend) and React (frontend), and mentoring contributors on Git and clean code/workflows.
Education
Degrees, certifications, and relevant coursework
National Institute of Retail Management, Ahmedabad (NIRM)
Master of Business Administration (MBA), Retail & Textile Management
2011 -
Grade: 68%
Earned an MBA in Retail & Textile Management from NIRM (68%).
Veermata Jijabai Technological Institute (VJTI)
Licentiate in Technical and Applied Chemistry, Technical and Applied Chemistry
2004 - 2008
Grade: 75%
Completed a Licentiate in Technical and Applied Chemistry at VJTI (75%).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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