# <<cv.name>>'s CV
((* if cv.label *))
*<<cv.label>>*
((* endif *))

((* if cv.phone *))
- Phone: <<cv.phone|replace("tel:", "")|replace("-"," ")>>
((* endif *))
((* if cv.email *))
- Email: [<<cv.email>>](mailto:<<cv.email>>)
((* endif *))
((* if cv.location *))
- Location: <<cv.location>>
((* endif *))
((* if cv.website *))
- Website: [<<cv.website|replace("https://","")|replace("/","")>>](<<cv.website>>)
((* endif *))
((* if cv.social_networks *))
    ((* for network in cv.social_networks *))
- <<network.network>>: [<<network.username>>](<<network.url>>)
    ((* endfor *))
((* endif *))

# <<section_title>>
- AI Engineer with hands-on experience in deep learning, computer vision, and LLM systems. Built production ML pipelines using PyTorch and HuggingFace on HPC infrastructure. Ranked 57th globally on KiTS19 medical imaging benchmark.

# <<section_title>>
## **Machine Learning Engineer - 3D Medical Image Segmentation**

*KiTS19 Challenge*

*Oct 2024 - June 2025*

*Independent ML Research*

- Achieved 0.9129 Dice score and ranked 57th globally on official KiTS19 leaderboard for kidney and tumour segmentation from 3D CT scans.

- Implemented nnU-Net pipeline with systematic hyperparameter optimisation on Nvidia H200 GPUs; published technical report with ablation studies.



## **AI Engineer - Full-Stack LLM Application**

*Production*

*Jan 2025 - June 2025*

*Independent Development*

- Built production conversational AI with RAG pipeline, streaming responses, and persistent context using TypeScript, Svelte, and PostgreSQL.

- Integrated OpenAI GPT API with security middleware including rate limiting, input validation, and comprehensive test coverage.



## **Machine Learning Engineer - Satellite Image Segmentation**

*Remote*

*Sept 2024 - Dec 2024*

*Kaggle Competition*

- Achieved 0.71 IoU on 97 percent imbalanced dataset by implementing U-Net from scratch (31M parameters) with Dice and Focal loss.

- Parallelised training on CUDA-enabled HPC cluster; applied morphological post-processing for boundary refinement.



# <<section_title>>
## **Neural Networks Zero to Hero**

- Built micrograd, makemore, and nanoGPT from scratch following Karpathy curriculum; implemented backpropagation and transformers in PyTorch.



# <<section_title>>
**Deep Learning:** PyTorch, TensorFlow, HuggingFace, nnU-Net, U-Net, CNNs, LLMs, RAG

**ML Engineering:** Python, CUDA, HPC (H200/A200), Distributed Training, Hyperparameter Tuning

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

**MLOps:** Docker, AWS, Azure, Git, CI/CD, Experiment Tracking

# <<section_title>>
## **University of New South Wales***Sydney, Australia*

*Feb 2021 - Sept 2025*

*Bachelor of Computer Science (AI), Minor Mathematics*



# <<section_title>>
## **AWS Solutions Architect (SAA-C03)**

*Jan 2026 - Feb 2026*

*Amazon Web Services*



## **AI Agents Course**

*Jan 2026 - Jan 2026*

*Hugging Face*