Jonathan Tan

Experience

• 

  JTC Corporation

  Feb 2019 - May 2019

  Management Intern

  • Corresponded with contractors and suppliers for the maintenance operations of Jurong Rock Caverns• Surveyed the feasibility of a industrial waste treatment facility on Jurong Island using transponder data• Streamlined data management protocols for JTC customer engagement reports

• 

  Seeed Studio

  Jan 2021 - Jul 2021

  Technical Writer

  • Developed 6 TinyML & IoT projects, increasing customer engagement• Produced over 79 articles for the Seeed Studio blog, improving SEO traffic and sales• Completed as part of NUS Overseas Colleges (NOC) Shenzhen

• 

  A*STAR - Agency for Science, Technology and Research

  May 2022 - Jul 2022

  Machine Learning Research Intern

  [A*STAR Research Internship Award] Robot Active Learning with Human-in-the-loop Reinforcement Learning• Researched Human-in-the-loop Reinforcement Learning (HRL) & Imitation Learning techniques• Designed & implemented sample-efficient HRL methodologies in PyTorch• Built a human-in-the-loop interface for reinforcement learning with PySimpleGUI

• 

  Shopee

  Aug 2022 - Dec 2022

  Data Analytics Intern

  • Optimised paid ads promotions to improve ads revenue uplift by 32% & program ROI by 13%• Built dashboards & automation pipelines with SQL, Python (Pandas) & Excel• Conducted root-cause analysis on business metrics to inform business strategy

• 

  TikTok

  Jan 2023 - May 2023

  Data Science Intern

  • Established a weak-supervision workflow to train machine learning models with limited labelled data• Conducted text clustering and topic modelling with BERTopic to decipher user and content patterns• Worked with stakeholders to support ad-hoc data analytics for minimising platform content risk

• 

  DSTA

  Jun 2023 - Sept 2024

  Machine Learning Engineer

  • Designed & delivered a reinforcement learning (RL) product enabling no-code RL training & evaluation workflows• Implemented RL algorithms and custom PyTorch model components for effective multi-agent RL• Developed end-to-end retrieval augmented generation (RAG) solutions for LLM applications, includingmultimodal PDF extraction, retrieval / reranking and document management / data annotation workflows

• 

  TikTok

  Sept 2024 - now

  Algorithm Engineer