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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.…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.

Elston Tan

Data Scientist, AI Engineer, AI Developer, +5

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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.…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.

Available to hire

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.

Skills

Experience Level

Expert

Expert

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Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI Research Intern at Institute of High Performance Computing (IHPC)

November 1, 2022 - July 31, 2024

Interned in the Social and Cognitive Computing department; contributed to a project titled 'Teaching AI to Think Like Humans'. Coauthored a NeurIps 2024 paper in the Databases and Benchmarking Track, helped develop a novel visual reasoning dataset, benchmarked a VQA model, and assisted in data collection/engineering. Researched graph neural networks and experimented with custom data for research use-cases.

Project Intern at Institute of Infocomm Research (I2R)

September 1, 2022 - January 31, 2023

Contributed to a quality assurance pipeline for airplane parts. Developed and tested two methods for detecting blurred images, cleaned and reformatted datasets, and researched edge operators for feature engineering paired with a SVM classifier. Evaluated multiple CNN configurations (e.g., MobileNetV2) to improve accuracy by ~25%.

Research Engineer at A*STAR Advanced Remanufacturing and Technology Centre (ARTC)

September 1, 2022 - July 31, 2025

Led development of multiple research projects (~$170k each) with high customer satisfaction. Implemented model compression and speedups (~40%) via quantization and C++ deployment; optimized models with hyperparameter tuning and architecture modifications, yielding >30% production performance gains. Achieved 60% model size reduction through quantization and engine conversion. Created and documented an SDK in C++ for department-wide model deployment. Built a full-stack data platform containerized for client use (Podman). Conducted interviews for internships and full-time roles; conducted research, prototyped, and finetuned SOTA VLMs for real-world use-cases; explored Monocular Depth Estimation and Physics-Informed Diffusion Models.

AI Research Engineer Intern at A*STAR Advanced Remanufacturing and Technology Centre (ARTC)

March 1, 2024 - January 31, 2025

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.

Researcher at German Research Center for Artificial Intelligence (DFKI)

August 1, 2025 - Present

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

Research Engineer at A*STAR, Advanced Remanufacturing and Technology Centre

September 1, 2022 - July 1, 2025

Led the development and delivery of multiple client projects (~$170k each) with high satisfaction. Implemented model compression and accelerated production by ~40% via quantization and C++ deployment. Optimized models through hyperparameter tuning and architectural changes, yielding >30% performance gains in production. Reduced memory footprint by ~60% via quantization and engine conversion. Built and documented an SDK in C++ for department-wide model deployment. Benchmarked state-of-the-art models across research and client projects; rapidly iterated. Developed a full-stack data platform containerized for client use (front-end/backend translated to machine code; containerized with Podman). Produced reports/presentations for clients and managers. Led interviews for internships and full-time staff. Researched SOTA VLMs for real-world use cases; prototyped Monocular Depth Estimation and light microscopy reconstruction with Physics-Informed Diffusion Models.

AI Research Engineer Intern at A*STAR, Advanced Remanufacturing and Technology Centre

March 1, 2024 - January 1, 2025

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 Intern at Institute of High Performance Computing

November 1, 2022 - July 1, 2024

Interned in the Social and Cognitive Computing department; coauthored a NeurIPS 2024 paper in Databases and Benchmarking Track and contributed to a poster. Helped develop a novel dataset for visual reasoning and benchmark a VQA model. Collected, analyzed and engineered online data for research use; researched graph neural networks and experimented on custom data.

Project Intern at Institute of Infocomm Research

September 1, 2022 - January 1, 2023

Developed a quality assurance pipeline for airplane parts; implemented methods for detecting blurred images in parts. Cleaned and modified datasets (e.g., applying Gaussian blur, data reformatting). Researched edge operators for feature engineering with SVM; tested CNN configurations (e.g., MobileNetV2) to optimize performance; improved final solution's accuracy by ~25%.