Umang Gupta
Data Scientist (AI / GenAI) at Singapore Airlines
📍 Singapore
Summary
AI and systems engineer specialising in designing, building and deploying scalable, production-grade AI systems — with a particular focus on Generative AI, agentic architectures, retrieval-augmented generation (RAG) and high-performance computing. Strong computer-science foundation from SUTD, Stanford and the University of Waterloo, and a track record of taking projects from concept to deployment with measurable business impact at companies like Singapore Airlines and Grab.
Experience
Data Scientist (AI Engineering focus) · Singapore Airlines
Jul 2024 – Present- Architected a Pilot Training GenAI tutor LLMs driving a 40% increase in pilot proficiency and earning the SVP/CTO Staff Award.
- Built AgentSL, a scalable platform that lets technical and non-technical teams autonomously deploy production-grade AI agents — democratising AI adoption across the enterprise and earning the CEO Innovation Award.
- Created a smart MCP (Model Context Protocol) server and client that automatically adapts to frequently changing booking-system APIs for travel agents, reducing debugging tickets by 40%.
- Developed an internal tool that automatically extracts critical information and generates insights from Finance Board Papers, saving roughly 240 hours of manual work per quarter.
Software Engineer Intern · Grab
Jan 2023 – May 2023- Resolved a critical bug in a high-stakes, real-time driver job-allocation system through deep systems data analysis, custom event trackers and debugging of state transitions at scale.
- Led end-to-end development of a core driver-facing Android feature (MVVM, Dagger) and deployed it across all of Grab’s operating countries, boosting driver activity.
- Contributed creative adjustments to the driver-job matching algorithm during Grab-a-thon to increase available jobs.
Undergraduate Teaching Assistant & Researcher · SUTD
Nov 2021 – Apr 2022- Taught Calculus II to a cohort of 50 students and ran office hours; the cohort achieved the highest average score.
- Researched network design and performance in blockchain networks and their impact on user and developer trust for decentralised applications; recognised as the best research team of five, working with SUTD professors and an MIT mentor.
Education
Bachelor of Engineering in Computer Science, Minor in Artificial Intelligence
- Graduated with First Class Honours.
- Core modules: Calculus I & II, Digital Systems, Operating Systems, Software Development & Testing, Databases, Game Development, Blockchain, System Security.
Stanford University
Summer 2023International Honors Program
- Subjects: High-Performance Computing, Minds and Machines, Data Science for Climate Change.
- Selected as the only international student from SUTD among 5,000 candidates on a fully sponsored program; worked under the Director of High-Performance Computing, Steve Jones, in his cluster facility.
University of Waterloo
Sep 2022 – Dec 2022Exchange Student
- Subjects: Machine Learning, Artificial Intelligence, Networks, Introduction to Society, Technology and Values.
Skills
Generative AI & Machine Learning
Systems, Performance & Cloud
Full-Stack & Mobile
Languages & Databases
Awards & Recognition
- CEO Innovation Award — AgentSL, Singapore Airlines
- SVP/CTO Staff Award — Singapore Airlines
- First Class Honours — SUTD Computer Science
- Only international student selected from SUTD (of 5,000) for the Stanford International Honors Program
- 2nd place — DBS × SUTD AI Challenge
- Top 10 — AI Singapore Penta Hackathon (LectureGenie)
- Winner — Swift Inclusive App Development Hackathon 2022 (VoiceBus)