Quan Tran

About

Welcome to my website!

I’m Quan, a software engineer currently living in London. I am a graduate of King’s College London as part of the class of 2025. As of now, I’ve been working at The Trade Desk since September 2025. Professionally, my interests lie in backend development, scalable and distributed systems, and data engineering. This website will perhaps contain blog posts of my thoughts on various things, and a small portfolio of things that I’ve worked on at some point.

Currently I enjoy anime, video games, and spending time with friends. However, I have previously dabbled in a few things such as speedrunning, speedcubing, table tennis and esports production.

Career

• The Trade Desk: Software Engineer

  I am working on optimizing and productionising big data processing and developing backend infrastructure in order to bring transparency to the supply chain in the Adtech world.

• The Trade Desk: Software Engineer Intern

  I worked end-to-end to deliver a GraphQL Python microservice used by the Forecasting and Planning team.

• TMA Solutions: Software Engineer Intern

  My first internship experience, I worked as a full-stack software engineer assisting in a project which handles the management of resources in operating rooms.

• King’s College London: Teaching Assistant

  I taught undergraduate courses in Computer Science part-time.

Cool stuff I’ve done

• Helped run an Amateur Esports League called ATDL SEA, I’m especially proud of my work producing the livestreams. Shoutouts to Mei doing a splendid job running the league.

• In-game production & observing for a Counter-Strike 2 showcase, featured in a charity speedrunning event called Archiethon! Shoutouts to aco for being a brilliant co-producer.

• Participated in a speedtyping LAN hosted by Warwick Esports and placed in the top 8.

• Created a small video essay on what my favourite anime means to me.

• Commentated my friend GrosHiken’s Celeste run for Summer Games Done Quick 2022.

• Almost won at Pet the Pup At the Party against fireb0rn despite getting a triple-decker.

Projects

• SchemeVault

  In collaboration with King’s College, AWS, Wiltshire, and 5 other group members, I helped create a web application to index, sort, and query a database of support schemes that would benefit vulnerable families around the UK. It is currently being hosted as a trial service by the incredibly talented Will BL. The application has a self-renewing database which discards stale data and scrapes for new data. The data science effort was lead by Aman Bilkhoo, an incredible ML research engineer.

• LoRA Poisoning of Diffusion Models

  Inspired by Nightshade, a novel poisoning attack targeted at image generation diffusion models, I decided to base my Bachelor’s dissertation on developing a poisoning method targeted towards diffusion models using Low-Rank Adaptation. Although not officially published, the results I found were promising! I was supervised by assistant professor and machine-learning researcher Atsushi Suzuki.

Contact

• e-mail: quanabcis2003 (AT) gmail (DOT) com