---
title: "Peeyush Gaur - Data Scientist in Bangalore Urban | Tal"
description: "Meet Peeyush Gaur, Data Scientist @ Grid Dynamics | Ex-Founder based in Bangalore Urban. AI stack includes claude code, cursor, and langchain. Explore public work links including github and leetcode."
image: "https://tal.club/meet/peeyush-gaur/share-image"
---

# Peeyush Gaur on Tal

## Headline

Data Scientist @ Grid Dynamics \| Ex\-Founder

## About

i build systems that could potentially replace me :\) I’m an AI/ML undergrad with over 3 years’ experience in building production ML systems\. I bootstrapped a startup during college and have worked with clients including Amazon, Rappi, and Zomato\. With a proven track record of delivering measurable product impact, I’ve helped design data pipelines and MLOps systems that contributed $500K\+ to ARR\. I work across ML and backend systems, build production data pipelines, agentic frameworks, and RAG systems with tools like AWS, Docker, vector databases, transformers, and Redis\. if you'd like to have a chat, do drop me an email at mrpeeyushgaur@gmail\.com or just send a hi\.

## Location

Bangalore Urban

## AI stack

claude code

cursor

langchain

langgraph

CrewAI

Pinecone

## Work experience

Data Scientist at Grid Dynamics, Dec 2025 \- Present · 9 mos, Bengaluru, Karnataka, India, • Improved purchase order extraction accuracy from \~15% to over 90% by designing validation layers and post\-processing logic to handle diverse, customer\-specific PO formats\. • Optimized document extraction prompts for Azure Document Intelligence through iterative prompt engineering, increasing field\-level accuracy across purchase orders, invoices, and procurement documents\. • Designed extraction logic for complex data patterns, including multi\-format date normalization, nested identifier extraction, and dynamic address mapping across varied document layouts\. • Built and refined an end\-to\-end document processing pipeline from ingestion to order creation, integrating Azure Document Intelligence, PepGenX \(internal LLM tool\), RPA, and context\-driven prompt engineering\. • Implemented field\-specific validation rules and edge case handling for line item extraction, company name parsing, and embedded metadata, ensuring consistent and reliable JSON outputs across all processed documents\.

Machine Learning Engineer at Rocketium, Aug 2024 \- Nov 2025 · 1 yr 4 mos, Bengaluru, Karnataka, India, • Engineered Bifrost, Rocketium’s end\-to\-end data pipeline, leveraging AWS Step Functions, SQS, and Lambda to orchestrate large\-scale AI enrichment workflows for ad creatives, enabling parallel processing that directly contributed $500k\+ ARR\. • Designed and deployed custom brand safety algorithms using vision language models, OpenAI, and CV libraries to analyze ad creatives and ensure compliance, safeguarding brand integrity for Amazon and Rappi\. • Built a RAG\-powered semantic search feature with Pinecone and LangChain to enable instant retrieval across 50k\+ ad creatives, accelerating asset discovery and enhancing client productivity within Rocketium’s media library\.

AI Engineer at HARMAN India, Feb 2024 \- Aug 2024 · 7 mos, Bengaluru, Karnataka, India, • Implemented TimeGPT into ForecastGPT, boosting sales forecast accuracy to 87\.8%\. • Built anomaly detection service for Zomato, monitoring AWS CloudWatch logs\. • Developed HARMAN Generative AI CMS, onboarding e\-commerce customers\.

Co\-Founder at rePersona\.ai, May 2023 \- Jan 2024 · 9 mos, Bangalore, • Developed persona bots for 17 celebrities, engaging an audience of 4,100 users worldwide\. • Scaled product revenue by $10k\+ through influencer partnerships\. • Integrated LLMs with memory and vector databases for human\-like interactions\.

AI Developer at Aeos Labs, Apr 2023 \- May 2023 · 2 mos, Bengaluru, Karnataka, India, • Developed innovative AI\-powered educational tools that enhanced learning experiences for users\. • Led multiple projects focused on Artificial Intelligence and Machine Learning, driving advancements in the field\. • Analyzed large datasets to extract actionable insights, improving decision\-making processes\.

## Education

Bachelor of Technology \- BTech, Artificial Intelligence and Machine Learning, Dayananda Sagar College of Engineering, BANGALORE

Higher Secondary \(CBSE\), Science\(PCM\), Lucky Bal Niketan Sen\. Sec\. School

## Public links

- github: https://github\.com/GaurPeeyush
- leetcode: https://leetcode\.com/ipeeyushgaur

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

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