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Alex Koh

@alexkoh

AI/ML Engineer and Data Scientist specializing in production-grade machine learning, Generative AI, and data pipelines.

Singapore
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What I'm looking for

I’m looking for a role where I can ship production-grade ML and Generative AI—especially LLM fine-tuning, RAG, and MLOps—while partnering with data and business stakeholders to translate insights into measurable impact.

I’m an AI/ML Engineer and Data Scientist with a Master’s in Artificial Intelligence (Distinction) and 4+ years delivering production-grade machine learning, Generative AI, and data pipeline solutions across government and AI startup environments.

I optimize LLMs and build reliable systems for real-world use: I’ve fine-tuned Llama 3 8B for medical domains with LoRA and 4-bit quantization, improved multilingual RAG fairness and accuracy through semantic retrieval optimization, and reduced hallucinations using a 5-pass iterative fact-checking pipeline.

In production environments, I modernize data and ML workflows—leading the migration of Rent Price Index from legacy tooling to Databricks for real-time ML deployment, and building automated Python and R pipelines on Microsoft Azure that reduced manual analysis time by 60%. I also deliver MLOps-ready solutions with Git version control, automated testing, and documentation in agile cross-functional sprints.

Earlier in my career, I focused on statistical methodology and stakeholder impact: I applied time-series analysis, seasonal adjustment, and robust model validation, then communicated unemployment-rate methodology to executive and external audiences while ensuring reproducibility and compliance with national statistical standards.

Experience

Work history, roles, and key accomplishments

ES
Current

AI/ML Engineer

Early-Stage AI Startup (Stealth)

Feb 2026 - Present (4 months)

Optimised Llama 3 8B for medical-domain LLM fine-tuning using LoRA and 4-bit quantisation, validating production-ready performance on the HellaSwag benchmark. Built multilingual RAG fairness improvements (+11.1% accuracy, -16.7% fairness gap) and a 5-pass hallucination mitigation pipeline for mission-critical reliability.

Statistics New Zealand logoSZ

Statistical & Data Analyst

Statistics New Zealand

Apr 2022 - May 2023 (1 year 1 month)

Applied time-series analysis, seasonal adjustment, and additive outliering to household survey data, validating model robustness for internal and external stakeholders. Presented unemployment rate methodology to executive and public audiences and authored documentation to ensure reproducibility and compliance with national statistical standards.

Education

Degrees, certifications, and relevant coursework

Victoria University of Wellington logoVW

Victoria University of Wellington

Master of Artificial Intelligence, Artificial Intelligence

2024 - 2026

Grade: Distinction

Completed a Master of Artificial Intelligence (with Distinction) at Victoria University of Wellington from Feb 2024 to Feb 2026.

University of Auckland logoUA

University of Auckland

Bachelor of Science, Statistics and Psychology

2018 - 2021

Completed a Bachelor of Science with a double major in Statistics and Psychology at the University of Auckland from Feb 2018 to Feb 2021.

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