Veer Dosi
Student, builder, and researcher working across AI, robotics, and entrepreneurship.
About me
I study computer science and business at NTU Singapore. I spend most of my time building software, running experiments, or asking why a system works the way it does.
I keep coming back to one problem. A model is only useful when someone can use it. That has taken me from machine learning research to product work, robotics, and healthcare.
At NTU, I’ve researched explainable AI for large language models and IoT device identification. I’ve also worked on robot perception, diabetic foot imaging, venture data, and immersive training simulations. The projects look different, but they all force me to understand the problem before reaching for a solution.
I’m interested in AI, robotics, startups, investing, and learning. I like moving between fields, following questions until they become projects, and building enough of the thing to find out what is true.
I don’t know the final shape of my work yet. For now, I’m trying to get better at difficult things and make useful things along the way.
Work
- Panasonic R&D CentreAI and Robotics Intern2026
Object detection, robot grasp planning, and agentic decision loops for multi-object pick-and-place tasks.
- Golden Gate VenturesData Science Intern2025
Agentic workflows, data pipelines, market research, startup screening, and due diligence.
- SPIRIT LAB @ NTUResearch Assistant2024
Machine learning and network traffic analysis for identifying IoT devices.
- INSPIRE Lab @ NTUXR Developer2024
VR training simulation for field hockey goalkeepers using Unity and Meta Quest 3.
Earlier roles covered software engineering, wealth management, and XR development. They taught me to own the whole problem, not only the part that fits a job title.
Projects
I like building things that turn an idea into something you can use. My projects include a medical diagnosis simulator, an explainable-AI system, an entrepreneurship guide for teenagers, a podcast about how people build their lives and companies, and an Apple-M2 Transformer implementation.
Essays
I’m writing about building, learning, ambition, and the work behind becoming more useful. I’ll collect those notes on the essays page as they’re ready.