---
title: "Richa Kumari - LLM Python Developer in Bengaluru | Tal"
description: "Meet Richa Kumari, GenAI Engineer | RAG | Multi-Agent AI | LLM Evaluation and RLHF | Python | FastAPI based in Bengaluru. AI stack includes anthropic apis, cursor, and hugging face. Explore public work links including github and richakumari.netlify.app."
image: "https://tal.club/meet/richa-kumari-1/share-image"
---

# Richa Kumari on Tal

## Headline

GenAI Engineer \| RAG \| Multi\-Agent AI \| LLM Evaluation and RLHF \| Python \| FastAPI

## About

I build GenAI systems and multi\-agent pipelines with a focus on RAG, LLM evaluation, and autonomous agent workflows\. At Turing I have spent the last 2 years on the engineering side of LLM systems\. This includes designing adversarial prompts to expose model failure modes across hallucination, instruction\-following, and factual accuracy; building a team\-level RAG knowledge base for a 400\+ person project; running CUA \(computer\-use agent\) evaluations using FastAPI\-based verifiers to benchmark agent performance against Gemini and Claude APIs; and training privacy\-aware AI assistants using persona\-based trajectory data\. I also led evaluation squads of 7 to 8 trainers and contributed to SFT and RLHF pipelines\. Projects I have built independently: 1\. MarketMind: multi\-agent marketing system using Google ADK with Research, Strategy, Content, and Critique agents\. Live SSE streaming, LLM hot\-swap between Ollama and Anthropic, FastAPI backend\. 2\. AI Research Agent: autonomous BFSI report generator using CrewAI with Researcher, RAG, and Writer agents\. Combines Serper web search with ChromaDB and Groq LLaMA 3\.3 70B\. 3\. HerRight: multilingual legal assistant for women in India\. Voice input in 7 Indian languages, grounded in official government documents, built with Gemini 2\.5 and Sarvam AI\. Stack: Python, FastAPI, LangChain, LangGraph, CrewAI, Google ADK, FAISS, ChromaDB, OpenAI, Anthropic, Gemini, Groq, Ollama, HuggingFace, Streamlit, Docker

## Location

Bengaluru

## AI stack

anthropic apis

cursor

hugging face

openclaw

huggingface

Ragas

## Work experience

LLM Python Developer at Turing, Sep 2024 \- Present · 2 yrs 1 mo, United States, \- Designed 50\+ adversarial edge\-case prompts per project targeting hallucination, instruction drift, and refusal bypass across 4\-5 LLMs simultaneously; executed in sandboxed Docker environments\. \- Evaluated model outputs across instruction\-following, code execution, factual correctness, and knowledge recency\. Wrote ideal reference solutions with 100% test pass rates for fine\-tuning pipelines\. \- Coordinated evaluation quality across 7\-8 trainers within a 400\+ contributor team\. Ran daily syncs, reviewed trainer outputs, maintained quality benchmarks, and managed delivery timelines\. \- Built a team\-level RAG knowledge base using LangChain, FAISS, and sentence embeddings for a 400\+ person contributor project, allowing trainers to query internal documentation directly instead of searching across multiple docs, with team\-scoped access controls isolating retrieval by contributor group\. \- Worked on CUA \(computer\-use agent\) evaluation: wrote structured UI task prompts covering login, navigation, and assignment workflows, then built FastAPI and Swagger\-based verifiers to benchmark agent task completion against Gemini and Claude APIs\. \- Trained privacy\-assistant models using persona\-based trajectory data, creating synthetic interaction flows aligned with defined privacy policy constraints\. \- Contributed to SFT and RLHF dataset pipelines including data curation, response validation, and quality control across coding and NLP evaluation tracks\.

System Associate at Infosys, Oct 2022 \- Jun 2024 · 1 yr 9 mos, Bengaluru, Karnataka, India, \- Automated operational workflows using Python and PowerShell scripts, reducing manual effort across enterprise IT processes\. \- Used SQL and Python scripts for operational data tasks including incident reporting, log parsing, and data extraction across 10\+ internal systems\. \- Managed 100\+ monthly incidents via ServiceNow with 98% SLA compliance; coordinated with cross\-functional teams to diagnose and resolve system issues\.

## Education

Master of Computer Applications \- MCA, Data Science, Jain \(Deemed\-to\-be University\)

Bachelor of Computer Applications, Information Technology, Amity University Patna

## Public links

- github: https://github\.com/richakumari0311
- richakumari\.netlify\.app: https://richakumari\.netlify\.app/

[View the original profile](https://tal.club/meet/richa-kumari-1)

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