Roger Wang

Roger Wang

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Co-Founder
San Mateo, California, United States

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Résumé


Jobs verified_user 0% verified
  • Inferact
    Co-Founder
    Inferact
    Nov 2025 - Current (9 months)
  • Roblox
    Senior Machine Learning Engineer - Machine Learning Platform
    Roblox
    Apr 2024 - Current (2 years 4 months)
    - Scaling Multimodal LLM Inference (Committer@vllm-project/vllm - catch me there!) - Large Models as a Service
  • Roblox
    Senior Machine Learning Engineer
    Roblox
    Mar 2023 - Nov 2025 (2 years 9 months)
    Machine learning platform & infrastructure
  • Roblox
    Software Engineer II - Machine Learning Platform
    Roblox
    Mar 2023 - Apr 2024 (1 year 2 months)
    - ML SDK - GPU Scheduling Optimization - Platform User Productivity & Engineering Efficiency
  • Roblox
    Software Engineering Intern - Machine Learning Platform
    Roblox
    Jun 2022 - Sep 2022 (4 months)
    - Experiment tracking and resource utilization for ML model training
  • CIBC
    Machine Learning Engineer - Advanced Analytics
    CIBC
    Sep 2020 - Sep 2021 (1 year 1 month)
    - I was fortunate to be one of the first MLEs across the organization. I designed, developed and productionized multiple ML models for various usecases across different orgs at the bank. - Had fun building internal ML libraries and teaching others within the organization how to use them. - Did research in my free time on the problems of data drift, algorithmic bias and AI fairness.
  • University of Waterloo
    Undergraduate Research Assistant
    University of Waterloo
    May 2019 - Jun 2020 (1 year 2 months)
    - Protein folding conformation prediction with Monte Carlo and deep neural networks
  • Scotiabank
    Machine Learning Intern - Data Science & Analytics
    Scotiabank
    Sep 2018 - Dec 2018 (4 months)
    - Conducted research on attrition modeling of 6 million customers using deep neural networks. - Got to taste the charm of deep learning and how large-scale data pipelines work.
  • CIBC
    Data Scientist Co-op - Data Studio
    CIBC
    May 2018 - Aug 2018 (4 months)
    - Prototyped the first real-time ML project across the bank that was eventually deployed to production: a Python program with XGBoost backend to automatcally correct errors in global money transfer messages. - My first real "Data Science" internship and I got to know many wonderful people.
  • N
    Data Research Analyst
    Newtopia Inc
    Sep 2017 - Dec 2017 (4 months)
    - Developed regression models for customer weight loss analysis and automated monthly/quarterly billing reports with R and Excel. - It was fun working at a startup.
  • Reinsurance Group of America Incorporated
    Actuarial Technical Specialist, Global Risk
    Reinsurance Group of America Incorporated
    May 2016 - Aug 2016 (4 months)
    - Published internal manuals on how to use a insurance software (GGY-Axis). - Made me realize this industry is not for me.
Education verified_user 0% verified
  • University of Washington
    Master of Science
    University of Washington
    Jan 2021 - Jan 2023 (2 years 1 month)
    - Natural Language Processing - Deep Learning - Statistics & Probability - Data Visualization - Applied Statistics & Experiment Design - Software Design - Statistical Machine Learning - Human-Centered Data Science - Scalable Data Systems and Algorithms
  • University of Waterloo
    Bachelor of Mathematics, Co-operative Program, Computational Mathematics, Statistics, Computer Science
    University of Waterloo
    Jan 2014 - Jan 2019 (5 years 1 month)
    Graduated with Distinction Major in Mathematical Finance until 4A
  • University of Waterloo
    Bachelor of Mathematics, Co-operative Program, Computational Mathematics, Statistics, Computer Science
    University of Waterloo
  • University of Washington
    Master of Science
    University of Washington
Projects (professional or personal) verified_user 0% verified
  • H
    Hand-drawing Classification on “Google Quick, Draw!” Data
    Feb 2018 - Apr 2018 (3 months)
    Evaluated the effectiveness of convolutional neural network models in the hand-drawing classification problem by comparing results of multiple classification models (convolutional, feed-forward, boosted tree). Attempted to modify the CNN model by integrating GloVe word embeddings and transfer learning.
  • A
    Analysis on Public Preference of Uber, Citadel & Correlation One Datathon Competition
    May 2017
    Applied regression models and performed statistical hypothesis testing in R on the database of 16.8 million Uber trips to determine the correlation between safety and preference
Awards verified_user 0% verified
  • University of Waterloo
    University of Waterloo President's Scholarship of Distinction
    University of Waterloo
    Jun 2014
  • University of Waterloo
    University of Waterloo International Student Entrance Scholarship
    University of Waterloo
    Jun 2014
  • I
    Overall Excellence Award
    International Baccalaureate Diploma Programme
    Jun 2012
  • University of Cambridge
    Outstanding Cambridge Learner Awards
    University of Cambridge
    Jun 2012
    Highest mark in the world for Cambridge IGCSE Additional Mathematics
  • University of Waterloo
    International Student Entrance Scholarship
    University of Waterloo
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