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