Hi, I'm Alexander Tok
Detail-oriented Industrial & Systems Engineering graduate with hands-on experience in machine learning, MLOps, and data analytics. Proficient in using Discrete Event Simulation and AI for decision making. Experienced in delivering end-to-end ML solutions — from data extraction to model deployment — to optimize decision-making and business processes.
Featured Skills
My core expertise areas that drive innovation and deliver results
Machine Learning
Neural Networks, Decision Trees, Random Forest, XGBoost
Data Analytics
Statistical Inference, Data Visualization, Time Series Forecasting
MLOps & Deployment
CI/CD pipelines, AWS, Docker, Model deployment
AI & LLM
LLM, RAG, Prompt Engineering, Computer Vision, NLP
Education
My academic background and achievements
Bachelor of Engineering (Honours with Distinction)
Industrial and Systems Engineering
National University of Singapore
Aug 2021 - Aug 2025
Achievements
- • GPA: 4.2/5
- • Minor in Data Analytics
- • Dean's List in AY24/25 Semester 2
Relevant Coursework
- • Machine Learning & Statistical Inference
- • Database Management & Data Structures
- • Optimization & Operations Research
- • Supply Chain Analytics & Simulation
Work Experience
My professional journey and achievements
Student Consultant (Team Lead)
Abbott Laboratories
Singapore
- ETL Automation: Led the development of an automated ETL pipeline, reducing man-hours by 50% and improving data-processing speed by 30%
- Reinforcement Learning: Researched and implemented reinforcement learning in Flexsim to reduce changeover time in model simulation
- Team Leadership: Oversaw a team of four, coordinating project milestones and stakeholder requirements
Algorithm Engineer Intern
Global OneClick
Shenzhen, China
- Advertisement Retargeting Model: Deployed Random Forest and XGBoost algorithms to decrease customer churn by 15% and increase engagement by 25%
- MLOps Pipeline: Created a CI/CD pipeline for model deployment; built interactive dashboards to improve model transparency by 20%
- A/B Testing: Segmented Google Ads and Meta Ads audience to conduct A/B testing on advertising effectiveness
IOT Intern
ConcreteAI
Singapore
- Data Recovery Workflow: Automated failover process using AWS Lambda, reducing downtime by 60% and improving reliability
- LPWAN Integration: Conceptualized cost-effective NB-IoT and LTE-M solutions, cutting capital costs by 40%
- Big Data Processing: Streamlined and revamped Big Data ETL and Analytics Platform to reduce platform costs by 20% and improving data recovery
Organizational & Volunteer Experience
Leadership roles and community contributions
Technical Lead
NUS FinTech Society
Singapore
- Explainable AI for Credit Scoring: Spearheaded the adoption of transparent ML models, boosting model accuracy to 86% and enhancing both decision-making efficiency and stakeholder trust
- Mentorship & Data Pipeline Development: Mentored junior members in designing robust data pipelines and evaluating algorithm performance, ensuring high-quality deliverables and continuous skill development within the team
- Research Paper: Researched on Bitcoin Fees Forecasting using Bayesian Inference
Featured Projects
Some of my recent work that showcases my skills and passion
NUS Overseas Colleges Business Pitch
Co-founded an AI-driven travel-planning platform. Received the NUS Venture Initiation Programme Grant for product innovation and market potential.
Resume Analysis Tool
Built a resume analysis system using LLMs, TF-IDF, and spaCy with 90% accuracy in predicting candidate suitability. Improved automation of candidate screening, reducing manual review time by 50%.
Tech Stack
Technologies I work with to bring ideas to life