AI Engineer
I build AI assistants that find the right information, show where their answers come from, and only act when it's safe to.
Rahul Talepa
AI Engineer · Mumbai
AI Engineer
Mumbai, India
I build AI products that businesses rely on: assistants that answer questions from a company's own data, search that finds the right document or image, and teams of AI agents that handle multi-step work. I take them from idea all the way to production.
I'mRahul,anAIengineerwhoturnslanguagemodelsintosystemspeoplecantrust.Ibuildretrievalthatfindstherightcontext,agentsthatshowtheirreasoning,andguardrailsthatdecidewhenthey'reallowedtoact.
of records searched accurately by AI systems I built
automated tests keeping an AI finance assistant reliable
AI agents working together in a research assistant I built
CGPA, B.Tech Computer Science
Four rules I follow in every system I ship, from production RAG to the projects I build on my own time.
The AI recommends what to do next. Clear, fixed rules check that recommendation before anything actually happens.
A good answer depends on giving the AI the right facts, so most of my effort goes into search, not clever prompts.
If the system can't point to where an answer came from, it doesn't show that answer.
If one AI service goes down, a backup takes over, so the product keeps running.
AI Engineer
India
Built AI agents with LangGraph and LangChain that personalise the customer experience: grouping customers, recommending their next steps, and writing campaign content.
Built AI services with FastAPI that answer from company data (RAG with ChromaDB and MongoDB) and send messages across WhatsApp, Email and Instagram, with Redis-backed task queues.
Junior AI Engineer
India
Built AI systems that search through lakhs of records and return accurate answers, using LangChain, vector databases and RAG.
Built an AI image search that finds visually similar images, using computer-vision models (Vision Transformers).
Automated how data is collected, cleaned, organised and made available to other apps, using Python, FastAPI and Docker.
Worked with the backend team to launch these AI services for real users.
Education · 2021 — 2025
D Y Patil University, Pune, India
8.33
CGPA
Three projects I designed and built on my own, each testing a different way to make LLM output dependable.
An AI assistant that spots overdue invoices, works out which customers are likely to pay, and suggests the next step, such as a reminder or an escalation. Fixed business rules approve every step before it runs, so the AI can never spam a customer.
Ask a technical question and a team of AI agents plans the research, gathers sources from the web, papers and code, and writes a report where every claim links to its source.
A chat assistant that answers questions using actual Bible verses, checks every reference it quotes, and flags famous quotes that are wrongly credited to the Bible.
The lab
The tools I use day to day, grouped by what they're for.
Building AI assistants and agents
Helping AI find the right information
Running it reliably for real users
Machine learning and image understanding
Everyday tools
A peer-reviewed paper, a generative-AI certification, and one book that has nothing to do with engineering.
Swipe
A published paper on applying AI to pharmaceutical traceability — authenticating medicine and tracking it across the supply chain so counterfeits can be caught before they reach a patient.
Co-authors: Aniket Laxman Patil, Kunal Krishna Paste
Authorized by IBM
Covers building AI tools that read your documents and answer questions about them, from loading the files to a working Q&A bot.
A collection of late-night poems and reflections in simple Hinglish — love, loss, and the people worth staying up for. Not engineering. Still the thing I'm proudest of shipping.
Hiring for LLM, RAG or agentic AI work? Or building something where retrieval and guardrails have to be right? My inbox is open.