---
title: "Prateek Kumar - AI/ML Engineer in Bangalore Urban | Tal"
description: "Meet Prateek Kumar, AI Engineer building production LLM agents & RAG systems based in Bangalore Urban. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/prateek-kumar-3/share-image"
---

# Prateek Kumar on Tal

## Headline

AI Engineer building production LLM agents & RAG systems

## About

AI Engineer with 3 years of experience shipping production\-grade GenAI, LLM, and NLP systems — not just prototypes\. I build things that survive contact with real users and real scale\. What I've delivered: Cut LLM hallucination rates from 20–30% down to 2–5% using multi\-agent RAG workflows \(LangGraph, FAISS, Qdrant\) — currently serving 500–2,000\+ students in production Built a Voice Journal AI agent processing audio for 5,000\+ users, with automated scoring across fluency, grammar, and confidence Achieved 90%\+ accuracy on multilingual transcription using Whisper, cutting manual audit time significantly Saved ₹3L\+/month through workflow automation; reduced reporting time by 40% via self\-serve dashboards Core stack: RAG pipelines \(FAISS, Qdrant, Pinecone\) · Multi\-agent systems \(LangGraph, CrewAI, AutoGen\) · LLM fine\-tuning & prompt engineering · FastAPI · AWS, Docker · Speech AI \(Whisper, diarization\) I care about the gap between "works in a demo" and "works in production" — evaluation pipelines, hallucination grounding, and cost/latency tradeoffs are where I spend most of my time\. Open to AI Engineer, GenAI Engineer, Applied AI, NLP Engineer, and ML Engineer roles\. 📫 prateek02kumar@gmail\.com 🔗 Portfolio: prateekportfolio\-r2gd\.vercel\.app

## Location

Bangalore Urban

## AI stack

claude code

claude

codex

langchain

mcp

ollama

## Work experience

AI/ML Engineer at QBS Learning, Sep 2024 \- Oct 2026 · 2 yrs 2 mos, Bengaluru, Built and deployed curriculum\-aware K\-12 chatbot agents \(Key Stages 1–5\) using LangChain and LangGraph, serving 500–2,000\+ students with personalized learning paths Cut LLM hallucination rate from 20–30% to 2–5% by designing multi\-agent workflows with FAISS/Qdrant vector grounding and structured context memory Built a Voice Journal AI agent for 5,000\+ students, automating audio cleaning, noise profiling, transcription, and multi\-parameter scoring \(fluency, grammar, confidence, topic relevance\) Built a Market Research AI agent using web scraping and structured JSON pipelines to extract competitor pricing and marketing intelligence, replacing manual analyst workflows Fine\-tuned small language models \(SLMs\) on STEM datasets, achieving 85%\+ precision and cutting manual content creation time by 70% Defined response quality metrics, task success KPIs, and LangSmith evaluation pipelines for continuous production monitoring Prototyped 3 GenAI solutions \(intelligent search, summarization, curriculum transformation\) using GPT and LangChain — 2 shipped to production

Data Scientist at ffreedom app, Jan 2024 \- Sep 2024 · 9 mos, Bengaluru, Built multilingual transcription pipeline with Whisper \+ LLMs, reaching 90%\+ accuracy Designed speaker segmentation workflows to support compliance review Implemented a RAG system for internal knowledge retrieval Built AI\-based QA pipelines that reduced manual audit workload Built Superset dashboards that cut reporting time by 40%

Data Analyst at Reloy, Apr 2023 \- Oct 2023 · 7 mos, Bengaluru, Karnataka, India, Reloy, a RERA\-compliant service provider is world's largest homeowner loyalty platform\. Through its digital amenities, it helps Real Estate companies\. ◆ Automated Prop\-Tech client loyalty program using Beautiful Soup and Selenium, saving 3 lakhs PM in human labeling costs\. ◆ Streamlined workflows with Zapier, improving operational efficiency and reducing manual labor\. ◆ Tech Stacks: Python, SQL, AWS, Zapier , Machine Learning, Beautiful Soup, Selenium Web driver

AI/ML Core Member at GDSC CDTU, Jun 2022 \- Jun 2023 · 1 yr 1 mo, Bengaluru, ◆ Actively contribute to the AI/ML community within the organization\. ◆ Collaborate with a team of enthusiasts to explore and promote advancements in Artificial Intelligence and Machine Learning\.

Data Science Intern at Mvg Innovations, Feb 2022 \- May 2022 · 4 mos, Hyderabad, Telangana, India, ◆ Analyzed voter patterns and conducted EDA for regional political parties during election campaigns, uncovering key trends to guide strategy\. ◆ Developed predictive models using machine learning and deep learning, achieving 92% accuracy in forecasting election outcomes compared to traditional methods\. ◆ Built dynamic dashboards in Power BI and Tableau, delivering critical insights to facilitate informed decision\-making for political campaigns\. ◆ Tech Stacks: Python, Scikit\-learn, Machine learning, Deep learning, Power BI & Tableau

## Education

Master of Science \- MS, Data Science, Christ University, Bangalore

Bachelor of Science \- BS, Data Science, Christ University, Bangalore

[View the original profile](https://tal.club/meet/prateek-kumar-3)

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