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brandonidas/README.md

My days in the medical corps were meaningful because the mission was meaningful. I want to leverage my skills and experiences to contribute to high impact projects, especially in areas that intersect with healthcare, education and technology.

Hello ๐Ÿ˜„ I'm Brandon Tong. My journey in tech has been driven by a deep engagement in autodidactism. I've been coding since high school in 2014 when I made a full stack web app using M.E.A.N.js (mongodb, express.js, angular.js, node)! That's almost 10 years coding to date. I love learning, and even during military service, I used my free time to finish Andrew Ng's Intro To Machine Learning.

๐Ÿ”ฌ During university ๐Ÿ”ฎ In Industry
I specialized in AI/ML and distributed systems. I've researched high dimensional probability, maximum innner product search for vector databases, and optimisng LLM inference I've interned at as a software engineer at reputable tech companies such as Splunk, where I contributed to launching their edge compute enginer, and ZALORA, where I work on integrating recommendation services into their API gateway.

๐Ÿช– Military service in the Singaporean army medical corps instilled in me a sense of mission. That day-to-day intentionality continues to drive my interest in applying technology to impactful endeavours, which is reflected in my academic pursuits in computational biology and graduate-level courses in Advanced Machine Learning and NLP.

๐Ÿ•บ As a TA and president of two high-activity university clubs, I've honed my leadership, communication, and teamwork skills.


Education: University of British Columbia, BSc. Computer Science, 4.0 GPA with a focus on ML and systems. Used elective credits to pursue graduate coursework in advanced machine learning, natural language processing, distributed systems, probabilistic and randomised algorithms (which are fascinating!), applied high dimensional probability in computational biology, LLM inference.

More can be found on my LinkedIn.

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  1. b-llama b-llama Public

    Forked from meta-llama/llama

    Inference code for LLaMA models, modified by Brandon Tong for research purposes

    Python

  2. bayesian_flow_networks bayesian_flow_networks Public

    Forked from MaximeRobeyns/bayesian_flow_networks

    A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).

    Python

  3. Triton-4D-GEMM Triton-4D-GEMM Public

    4D Matrix Multiplier in OpenAI Triton

    Python 1

  4. Cigarette-Smokers-in-C Cigarette-Smokers-in-C Public

    Classic thread synchronisation problem

    C

  5. ETL-Spotify-Data ETL-Spotify-Data Public

    Python extract, transfom, load into SQlite. My first data feed/pipeline

    Python