Available for opportunities · Singapore
Machine Learning & Data Science Engineer
Industrial & Systems Engineering graduate delivering end-to-end ML solutions — from data extraction to model deployment. I combine Discrete Event Simulation, MLOps, and applied AI to optimise decision-making and business processes.
I'm a detail-oriented engineer who graduated with Honours (Distinction) in Industrial & Systems Engineering from the National University of Singapore, with a Minor in Data Analytics. I care about turning messy, real-world data into models and systems that people actually rely on to make decisions.
My experience spans the full ML lifecycle — building CI/CD pipelines and deploying models at Global OneClick, automating cloud failover at ConcreteAI, and now driving AI-assisted reporting and process improvement as a Global Supply Chain Graduate at Dyson. Alongside work, I co-founded an AI-driven travel platform and led explainable-AI initiatives at the NUS FinTech Society.
I'm an AWS Certified AI Practitioner and I'm most energised by problems that sit at the intersection of operations research, machine learning, and clear communication.
New Product Operations (Programmes)
Co-founded through NUS Overseas Colleges — an AI platform that plans trips end-to-end. Awarded the NUS Venture Initiation Programme Grant for product innovation and market potential.
Built for the BACT × X0PA HR AI Hackathon — a resume analysis system using LLMs, TF-IDF, and spaCy that predicts candidate suitability with 90% accuracy.
Led at the NUS FinTech Society — transparent, interpretable ML models for credit scoring, raising accuracy to 86% while improving decision efficiency and trust.
Research paper forecasting Bitcoin transaction fees using Bayesian Inference, modelling uncertainty in a volatile, high-variance fee market.
National University of Singapore · Minor in Data Analytics
Relevant coursework: Machine Learning (Neural Networks, Decision Trees, Random Forest), Statistical Inference, Database Management, Optimization & Operations Research, Data Structures & Algorithms, Data Visualization, Supply Chain Analytics, Discrete Event Simulation.
I'm open to roles and collaborations in machine learning, data science, and analytics. The fastest way to reach me is email.
alexander.tokjs@gmail.com