MSc, Computer Science
Stockholm, SE
KTH Royal Institute of Technology
Aug 2019 | Aug 2021
MSc, Computer Science
Berlin, DE
Technical University of Berlin
Oct 2018 | Nov 2020
Experience
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Huawei
Singapore, SG
Staff Machine Learning Engineer
Sep 2023 | Present
- Developing a frame extrapolation and super-sampling SDK to augment the game’s frame rate,
mitigating rendering overhead, and replacing it with a light-weight neural network pipeline.
- Part of the seed team working on game agents using reinforcement learning and large
language models in popular Chinese card/board games to improve gameplay and user experience.
Senior Machine Learning Engineer
Jun 2022 | Sep 2023
- Led C++ SDK development for a metaverse product with multiple deep learning models,
achieving a 24x speedup to real-time performance and earning a Best Product Delivery Award.
- Developed the candidate generation and ranking models for video and music services, enhancing
the system capability and performance to real-time serving using Redis and Vector dBs.
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Taiger
Singapore, SG
Senior Machine Learning Engineer
Nov 2021 | Apr 2022
- Research, implement, and optimize deep learning algorithms for information extraction/retrieval in
unstructured documents, while handling software engineering and model
deployment tasks.
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Sony AI
Tokyo, JP
Research Intern
Apr 2021 | Oct 2021
- Collaborated with Sony AI and Polyphony Digital to create a high-performance PS4
GranTurismo racing controller using a SOTA vision-based reinforcement learning algorithm,
achieving consistent performance across three simulators.
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Fraunhofer Heinrich Hertz Institute
Berlin, DE
Machine Learning Research Assistant
Aug 2020 | Oct 2021
- Created a deep learning-based 3D super-resolution pipeline in PyTorch, reconstructing 3D models from
2D images from 36 viewpoints, rendering multi-view images in 3D, and training a generative model with
PyTorch3D for diffused lighting and textures.
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Electronic Arts
Stockholm, SE
Research Intern
Jan 2020 | Aug 2020
- Developed a deep learning-based video super-resolution pipeline in PyTorch, upscaling game cinematics
from 1K to 4K quality for Battlefield, Mass Effect, and Anthem in collaboration with studios from Los
Angeles, Montreal, and Redwood Shores.
Technical Skills
- Languages: Python, C++, Scala
- Frameworks: PyTorch, Tensorflow, Spark
- Databases: MySQL, Hive
- Others: Git, Docker, Linux, LaTeX, OpenGL
Honors & Awards
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DBS Hack2Hire
March 2022, Singapore
- Won DBS hackathon among 45 teams by developing a data visualization tool for customer spends
using machine learning and AWS services to analyze income, age, and background features.
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Bosch BCX19
July 2019, Germany
- Semi-finalist in Bosch Hackathon19. Developed a solution for Cobi’s UI dashboard that performs
navigation assistance and predictive analysis for E-bikers in real-time.
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2050 Tencent Conference
May 2019, China
- One of the 25 students selected across Europe for the conference organized by Alibaba in Hangzhou,
China. Proposed a start-up idea and gave a talk on using AI in healthcare.
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Steam School
Dec 2017, India
- One of the 100 applicants selected to work on UN SDGs from applicants of 7 countries. Developed a
project named CURA, which was showcased during the UNESCO tech conference in Vizag, India.
Activities
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EEML 2020
- Attended the virtual EEML 2020 summer school on deep learning and reinforcement learning.
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Wikimania 2019
- Part of the volunteering team for the Wikimania 2019 conference held in Stockholm, Sweden.
References