---
title: "Rishi Lahoti - Artificial Intelligence Engineer in Bengaluru | Tal"
description: "Meet Rishi Lahoti, Serving Notice Period | Full-Stack + AI Systems | Python, Django, Go, TypeScript, React, Next.js | AWS, Azure, Oracle, GCP | RAG, Eval Systems, Voice AI based in Bengaluru. AI stack includes claude code, elevenlabs, and langchain. Explore public work links including github and ri..."
image: "https://tal.club/meet/rishi-lahoti/share-image"
---

# Rishi Lahoti on Tal

## Headline

Serving Notice Period \| Full\-Stack \+ AI Systems \| Python, Django, Go, TypeScript, React, Next\.js \| AWS, Azure, Oracle, GCP \| RAG, Eval Systems, Voice AI

## About

Full\-stack \+ AI integration engineer\. I build production LLM systems: RAG pipelines, codebase\-intelligence layers, and agentic planning tools, end to end\.

## Location

Bengaluru

## AI stack

claude code

elevenlabs

langchain

langfuse

langgraph

livekit

## Work experience

Artificial Intelligence Engineer at Prodinit, Mar 2026 \- Sep 2026 · 6 mo, Remote, • Built the codebase\-intelligence layer for an AI developer platform, combining tree\-sitter\-based multi\-language indexing with a Neo4j context graph queried by AWS Bedrock\-hosted subagents \(Claude Haiku, Titan embeddings\) to ground planning and code retrieval in real repository structure\. • Shipped a multi\-agent product\-image pipeline \(quality analysis to AI\-generated background replacement\) live in production for an IndiaMART\-scale client, deduplicating Gemini/GPT\-Image calls by source URL and decoupling AWS S3 uploads via async ThreadPoolExecutor on AWS EC2\. • Architected a decoupled two\-phase LLM assessment pipeline, separating high\-latency synthetic data generation from real\-time evaluation execution with an idempotent scope\-hashing strategy to eliminate redundant compute\.

Software Developer at Postship, Nov 2025 \- Feb 2026 · 4 mos, Bengaluru, • Built and scaled Go microservices with REST and gRPC APIs, PostgreSQL \(GORM\), and service\-layer abstractions supporting concurrent order and media workflows\. • Developed an end\-to\-end AI video generation pipeline that converts product images into marketing videos, handling media ingestion, processing, and delivery via CDN\-backed pipelines \. • Designed cloud media infrastructure using AWS \(S3, CloudFront\), Cloudflare CDN, and Cloudinary, enabling secure uploads, batch cache purging, and low\-latency global delivery\.

Frontend Developer at Nature Crave, Feb 2025 \- Aug 2025 · 7 mos, Remote

Frontend Developer at Organic Herbal, Oct 2024 \- Feb 2025 · 5 mos, Remote

## Education

Bachelor of Technology \- BTech, PES University

## Public links

- github: https://github\.com/rishilahoti
- rishilahoti\.vercel\.app: https://rishilahoti\.vercel\.app/

[View the original profile](https://tal.club/meet/rishi-lahoti)

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