Utkarsh Bajaj
(Ai Ml) Business Intelligence Engineer Ii @Amazon
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WORK HISTORY
(Ai Ml) Business Intelligence Engineer Ii @Amazon
Toronto, ON, CA
DataMind: Architected and led the full-stack development of an AWS Bedrock-based GenAI RAG platform, resulting in 51+ monthly active users and conversations, projecting 600+ engineering hours saved annually.•Finny (Agentic Forecasting Engine): Established and launched an LLM-powered forecast fine-tuning recommendation engine via a Streamlit web application, reducing manual analysis time by 70%(2,400 annual hours saved).
EDUCATION
Delhi Public School, Dwarka
Science
Purdue University
MS, Business Analytics and Information Management
Delhi Technological University (Formerly DCE)
Engineer’s Degree, Electronic and Communications Engineering Technology
ABOUT UTKARSH BAJAJ
Most engineers make AI harder than it needs to be. I have shipped multiple production LLM and GenAI systems at Amazon and otherwise. Here I break down what actually works. I have built- RAG-based LLM production systems using AWS Services- Agentic frameworks for demand forecasting and automated data validation- Data pipelines that handle ingestion, transformation, and quality checks end-to-end - A Unified Data Model that saved thousands of engineering hours across teamsTech I work with: Python, SQL, AWS (Bedrock, Lambda, Step Functions, Redshift, SageMaker)What I post about- LLM system design and RAG pipelines- GenAI in production: what nobody tells you- Data engineering patterns that scale- Real lessons from building AI at AmazonOutside work: photography and fitness. If you are building with AI or trying to understand it, follow along.#LLMs #GenAI #DataEngineering #MLEngineering #AIEngineering #RAG #AWSBedrock
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