ET

Elston Tan

Available to hire

Hi, I’m Elston Tan—a computing and AI enthusiast who loves turning ambitious ideas into real-world AI systems.

About

Hi, I’m Elston Tan—a computing and AI enthusiast who loves turning ambitious ideas into real-world AI systems. I’ve built end-to-end vision pipelines, SLAM research, and production-grade ML deployments for clients and researchers, with a track record of accelerating performance and delivering value. My work spans from research into open-vocabulary 3D segmentation to practical SDKs and data platforms.

I’m currently pursuing a Bachelor of Computing in Computer Science at the National University of Singapore, and I also completed a Diploma in Applied AI and Analytics at Singapore Polytechnic, along with a Nanodegree from Udacity. I lead and participate in AI-focused clubs, mentor teammates, and enjoy collaborating across disciplines to push the boundaries of what AI can do in industry.

  • 4 years' experience
  • Joined February 2026

Industry experience

  • Software & Internet
  • Media & Entertainment
  • Professional Services
  • Manufacturing
  • Education
  • Government

Work experience· 9 roles

Researcher · German Research Center for Artificial Intelligence (DFKI)Aug 2025 – Present · 1 yr 4 mos

Collaborating on research attachments in SLAM and open-vocabulary 3D segmentation. Working under the Deputy Director in the Spatial Sensing and Machine Perception team.

AI Research Engineer Intern · A*STAR, Advanced Remanufacturing and Technology CentreMar 2024 – Jan 2025 · 11 mos

Spearheaded and led development for an in-house research project; engineered an end-to-end vision pipeline using novel methods for Hyundai Steel as the sole research engineer and secured a contract. Researched state-of-the-art architectures and benchmarked with client datasets. Introduced ~15% increases in accuracy and mean-average-precision; sped pipelines by ~40% for real-time inference. Implemented custom loss functions and architecture modifications. Researched spatiotemporal methods for in-house licensing.

AI Research Engineer Intern · A*STAR Advanced Remanufacturing and Technology Centre (ARTC)Mar 2024 – Jan 2025 · 11 mos

Spearheaded an in-house research project and built an end-to-end vision pipeline for Hyundai Steel as the sole researcher. Researched state-of-the-art architectures, benchmarked on client datasets, and achieved an average 15% increase in accuracy and mean average precision. Improved real-time inference by ~40% for client production use-cases. Implemented custom loss functions and architectural tweaks; studied spatiotemporal methods for in-house licensing.

AI Research Intern · Institute of High Performance ComputingNov 2022 – Jul 2024 · 1 yr 9 mos
AI Research Intern · Institute of High Performance Computing (IHPC)Nov 2022 – Jul 2024 · 1 yr 9 mos
Project Intern · Institute of Infocomm ResearchSep 2022 – Jan 2023 · 5 mos
Research Engineer · A*STAR, Advanced Remanufacturing and Technology CentreSep 2022 – Jul 2025 · 2 yrs 11 mos
Research Engineer · A*STAR Advanced Remanufacturing and Technology Centre (ARTC)Sep 2022 – Jul 2025 · 2 yrs 11 mos

Education· 6

Bachelor of Computing in Computer Science · National University of Singapore2027 – 2030
Diploma in Applied AI and Analytics · Singapore Polytechnic2022 – 2025
Nanodegree in AI Programming with Python · Udacity2023 – 2024
Bachelor of Computing in Computer Science · National University of Singapore2027 – 2030

Certifications and awards

AWS AI & ML Scholarship2030 – 2026
AWS AI & ML Scholarship 2023 - Winter Cohort2030 – 2026
Nanodegree in AI Programming with Python2023 – 2024

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