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Lead Applied AI Scientist @ Grab
I'm deeply passionate about using AI to solve strategic business problems. My interests lies at the intersection of data science and software engineering, to build scalable ML powered services for global customers. I have core competencies in building and deploying end-to-end machine learning models that scale over distributed systems, and am proficient in Python, Golang, Pandas, SQL, Sklearn, TensorFlow, KubeFlow, TensorRT, TFX, PyTorch, PySpark. Additionally, I also have strong software engineering skills in Data Structures, Algorithms, Systems Design, MLOPs, APIs, Kubernetes, Cloud Architecture (GCP, AWS, Azure), Databases (PostgreSQL, MongoDB), Logging (Elasticsearch, Kibana), Web Development (APIs, Flask, Javascript) and CI Testing (Unit, Integration, Functional). Most recently am learning and building with all things Agentic AI - Multi-Modal LLMs, LoRA fine-tuning, Multi-Agent Orchestration. My work experiences include Goldman Sachs, Grab and DataRobot, having studied Computer Science at UC Berkeley, Georgia Tech and NTU. Feel free to reach out to me for any opportunities that might be a good fit :) Email - pangshengwei1994@gmail.com Github - https://github.com/pangshengwei Portfolio - https://pangshengwei.gitbook.io/home/tech-projects If you need any help in tech career coaching, feel free to reach out: - https://linktr.ee/pangshengwei1994 - https://mentorcruise.com/mentor/shengweipang/ - https://topmate.io/pang_sheng_wei
Georgia Institute of Technology
Masters of Science, Analytics & Machine Learning
January 1, 2022 – January 1, 2024
University of California, Berkeley
GLOBE Program, Computer Science
January 1, 2017 – January 1, 2018
Nanyang Business School
Masters of Science, Technology Management
August 1, 2015 – December 1, 2019
Nanyang Technological University Singapore
Bachelor of Science, Computer Science
August 1, 2015 – December 1, 2019
Grab
Lead Applied AI Scientist
January 1, 2024 – Present
Singapore
Grab
Senior Data Scientist
May 1, 2022 – December 1, 2023
Singapore
Grab
Data Scientist
May 1, 2021 – April 1, 2022
Singapore
TankU
Machine Learning Engineer
August 1, 2020 – May 1, 2021
Israel · Remote
DataRobot
Software Engineer, ML
January 1, 2020 – May 1, 2021
Singapore
Goldman Sachs
Software Engineering Intern
May 1, 2019 – July 1, 2019
Singapore
DataRobot
Data Science Intern
January 1, 2019 – April 1, 2019
The League - Meet Intelligently
Data Science Intern
May 1, 2018 – August 1, 2018
San Francisco Bay Area
Pegasus Analytics
Co-Founder, CTO
January 1, 2018 – January 1, 2019
San Francisco Bay Area
Data Science Society at Berkeley
Data Science Project Manager
January 1, 2018 – April 1, 2018
Berkeley, California
Udacity
Deep Learning Mentor
November 1, 2017 – July 1, 2018
DataRobot
Data Science Intern
July 1, 2017 – August 1, 2017
Singapore
Ramco Systems
Software Engineering Intern
May 1, 2017 – June 1, 2017
Singapore
Awaken Group
Management Consultant
June 1, 2016 – August 1, 2016
Singapore
Pursue Your Passion
Coach
March 1, 2015 – February 1, 2017
Singapore
Machine Learning Researcher (Fuzzy-Neuro Models For Stocks)
August 1, 2018 – June 1, 2019
Developed a novel model architecture for Fuzzy Neural Networks applied to Stock Prediction for undergraduate Thesis Paper, mentored by Professor Quek Hiok Chai, NTU. Published to IEEE https://ieeexplore.ieee.org/document/9206629
Agentic AI by Andrew Ng
DeepLearning.AI
June 24, 2026 – Present
Generative AI with LLMs
DeepLearning.AI
June 24, 2026 – Present
Machine Learning Engineering For Production (MLOPs)
DeepLearning.AI
June 24, 2026 – Present
AWS Solutions Architect Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Data Scientist Certification
DataRobot
June 24, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 24, 2026 – Present
Data Science on Google Cloud: Machine Learning
June 24, 2026 – Present
AI For Trading Nanodegree
Udacity
June 24, 2026 – Present
SCET Certificate In Entrepreneurship and Technology
UC Berkeley Sutardja Center for Entrepreneurship and Technology (SCET)
June 24, 2026 – Present
Deep Learning Nanodegree
Udacity
June 24, 2026 – Present
Machine Learning A-Z: Python & R
Udemy
June 24, 2026 – Present
Andrew Ng | Stanford | Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an ML Engineer role, particularly in fast-paced, data-driven environments. Their experience at Grab, a large tech company, and DataRobot, an AI platform company, shows adaptability to different organizational structures. The involvement in a startup (Pegasus Analytics) and various internships indicates a proactive and entrepreneurial mindset. The diversity of projects, from stock prediction to ride-hailing ETA and computer vision, suggests a broad interest and ability to apply ML across different domains. The numerous certifications also highlight a commitment to continuous learning and staying current with industry trends.
Soft Skills & Operational Fit
The candidate's experience as a 'Lead Applied AI Scientist' and 'Data Science Project Manager' suggests strong leadership, team collaboration, and project management skills. Their work on optimizing models for high QPS and automated fine-tuning indicates a focus on operational efficiency and robustness. The description of mentoring in the Fuzzy Neural Networks project also points to mentorship capabilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is limited.