---
title: "Gul Bansal - Machine Learning Engineer in Bengaluru | Tal"
description: "Meet Gul Bansal, AI Engineer @ AB InBev | Plaksha Tech Leaders Fellowship’24 | Generative AI | Data Science | Machine Learning | Deep Learning | LLMs based in Bengaluru. AI stack includes claude code, claude, and codex. Explore public work links including github."
image: "https://tal.club/meet/gul-bansal/share-image"
---

# Gul Bansal on Tal

## Headline

AI Engineer @ AB InBev \| Plaksha Tech Leaders Fellowship’24 \| Generative AI \| Data Science \| Machine Learning \| Deep Learning \| LLMs

## About

I specialize in AI/ML engineering, Generative AI, and data\-driven solutions, with experience spanning across Data Science, AI research, and tech product management\. My expertise lies in building and deploying Large Language Models \(LLMs\), Retrieval\-Augmented Generation \(RAG\), Deep Learning, and NLP\-driven automation to solve real\-world challenges\. 🔹 Professional Experience: Data Scientist \(Gen AI Team\) at AB InBev – Contributing to AI\-driven innovations, focusing on Conversational AI, document search, and LLM\-based automation\. Data Scientist at Arthmate – Optimizing RAG\-based chatbots and document retrieval systems, and conducting research on LangChain vs\. LlamaIndex\. Data Science Consultant at Palo Alto Strategy Group – Led AI\-driven insights and solutions, focusing on data\-driven decision\-making\. 📚 Education & Achievements: Tech Leaders Fellowship, Plaksha University – Selected among a cohort of 50 from 2000\+ applicants, focusing on AI/ML leadership\. B\.Tech in Computer Science Engineering – Strong foundation in AI/ML methodologies\. Winner, Smart India Hackathon 2020 – Developed an innovative AI\-driven solution\. 💡 Key Skills & Strengths: Generative AI & LLMs – Transformers, Fine\-Tuning, AI Agents, LangChain, LlamaIndex Machine Learning & Deep Learning – ANN, CNN, RNN, NLP, Computer Vision Tech Stack – Python \(Pandas, NumPy, Matplotlib, TensorFlow, Scikit\-Learn, Keras\), SQL, Snowflake, AWS, Fivetran, Docker, FastAPI Product & AI Strategy – Agile Methodologies, Data\-Driven Decision Making, Sprint Planning 🎯 What drives me? Solving complex challenges using AI, driving AI\-led product innovations, and bridging the gap between research and real\-world applications\. 📬 Let’s connect\! I'm always open to discussing AI/ML innovations, Generative AI, and AI\-driven product strategy\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

langfuse

langgraph

LiteLLM

## Work experience

Machine Learning Engineer at AB InBev, Nov 2024 \- Present · 1 yr 10 mos, Bangalore Urban, Karnataka, India

Data Science Consultant at Palo Alto Strategy Group, Apr 2024 \- Jun 2024 · 3 mos, Palo Alto, California, United States, • US\-based strategy consulting firm advising PE/VC\-backed companies on M&A due diligence • Automated due diligence report generation using LLMs \(OpenAI, Mistral, LLaMA, Claude\) \- reducing manual effort by 70% through prompt engineering, RAG, and workflow orchestration • Fine\-tuned a classification model for section\-wise summarization from transcripts \- improving quality and relevance of summarized content by 32% • Developed a RAG\-based query assistant reducing analyst dependency on manual document lookup \- improving information accessibility across the due diligence workflow

Senior Engineer at Accolite, May 2022 \- Aug 2023 · 1 yr 4 mos, Gurugram, Haryana, India, • Designed data ingestion architecture unifying 10\+ heterogeneous sources across 80\+ stores in 20\+ states — enabling real\-time analytics for a large\-scale US auto retail platform • Built and maintained high\-throughput backend services using AWS DynamoDB, Scala, and MuleSoft across 10\+ integrated data sources — improving system reliability and operational efficiency by 20% • Developed a marketing analytics data platform for 200\+ brands integrating Google Ads, Facebook Ads, and Bing Ads via Snowflake, Fivetran, DBT, and Airflow — reducing ETL latency by 28%

Software Engineer Intern at Accolite, Aug 2021 \- May 2022 · 10 mos, • Maximized data operations for a Marketing Firm, leveraging modern data stack: Snowflake, Fivetran and DBT\. • Engineered seamless integration of Google Ads, Facebook Ads, Bing Ads data via Fivetran & Snowflake, boosting accessibility by 30%\. and monitored ETL pipelines with Airflow, cutting processing time by 25%\.

## Education

Tech Leaders Fellowship, AI\-ML and Data Science, Plaksha University

Bachelor of Technology \- BTech, Computer Science, ABES Engineering College

## Public links

- github: https://github\.com/bansalgul

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

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