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(( if cv.phone )) - Phone: <> (( endif )) (( if cv.email )) - Email: <> (( endif )) (( if cv.location )) - Location: <> (( endif )) (( if cv.website )) - Website: <> (( endif )) (( if cv.social_networks )) (( for network in cv.social_networks )) - <>: <> (( endfor )) (( endif ))

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• ML Engineer ranked #57 globally on KiTS19 medical imaging benchmark. Builds end-to-end ML pipelines on HPC infrastructure (H200/A200 GPUs) with PyTorch. Ships production applications with Docker, CI/CD, and cloud deployment. AWS Solutions Architect certified.

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ML Engineer — 3D Medical Image Segmentation

Grand Challenge

Oct 2024 - June 2025

KiTS19 Grand Challenge

• Ranked

• Engineered end-to-end nnU-Net training pipeline on Nvidia H200 GPUs; conducted systematic ablation studies across architectures and hyperparameters. Published technical report.

Full-Stack ML Engineer — Conversational AI

Production

Jan 2025 - June 2025

Full-Stack Chatbot

• Built full-stack conversational AI with Hono REST API, OpenAI GPT streaming, Zod schema validation, and PostgreSQL on Bun runtime.

• Implemented typed middleware pipeline with authentication, rate limiting, and structured logging; deployed via Docker to Vultr VPS.

ML Engineer — Satellite Image Segmentation

Remote

Sept 2024 - Dec 2024

Kaggle

• Achieved 0.71 IoU on 97% class-imbalanced satellite dataset using custom 31M-parameter U-Net with combined Dice-Focal loss.

• Parallelised training pipeline across CUDA-enabled HPC cluster; improved raw IoU from 0.66 to 0.71 via morphological post-processing.

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Minesweeper AI Solver

ONNX / Browser

• Built hybrid CSP + deep learning Minesweeper solver with ResNet architecture (6 residual blocks, 128 filters, batch normalisation); deployed via ONNX for browser inference achieving 85-95% win rate.

10,000 Hours of ML

• Maintained monolithic ML experiment repository covering CV, NLP, RL, and supervised/unsupervised learning; version-controlled experiments across 50+ architectures.

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Deep Learning: PyTorch, TensorFlow, HuggingFace, nnU-Net, U-Net, CNNs, LLMs, RAG

ML Engineering: Python, CUDA, HPC (H200/A200), Distributed Training, Hyperparameter Tuning, Scikit-learn, NumPy, Pandas

LLM and GenAI: LangChain, LangGraph, OpenAI API, Prompt Engineering, Fine-tuning

MLOps: Docker, AWS, Azure, Git, CI/CD, Experiment Tracking, Model Serving, REST APIs

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University of New South WalesSydney, Australia

Feb 2021 - Sept 2025

Bachelor of Computer Science (AI), Minor Mathematics

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AWS Solutions Architect (SAA-C03)

Mar 2026 - Mar 2026

Amazon Web Services

AI Agents Course

Jan 2026 - Feb 2026

Hugging Face