AI/ML Engineer based in Melbourne. I build and deploy production RAG and LLM applications. Background: MSc in Artificial Intelligence, with a focus on getting hands-on with the fundamentals. I've built GPT, a Vision Transformer, and a multimodal image captioning system from scratch in PyTorch before moving toward production engineering. Most recently I shipped DocuMind, a live RAG system using FastAPI, LangChain, ChromaDB, and OpenAI, behind HTTPS on a custom domain (originally on AWS EC2 with Nginx; now running on Render). I also built a small evaluation harness for it covering retrieval and generation metrics (recall@k, precision@k, faithfulness, answer relevancy via RAGAS), which taught me how much of RAG work is actually about evaluating the system, not just building it. I have full Australian work rights and am available to start immediately. Open to AI/ML Engineer, Python Backend, or AI-focused engineering roles in Australia.

Roshan Mohammad

AI/ML Engineer based in Melbourne. I build and deploy production RAG and LLM applications. Background: MSc in Artificial Intelligence, with a focus on getting hands-on with the fundamentals. I've built GPT, a Vision Transformer, and a multimodal image captioning system from scratch in PyTorch before moving toward production engineering. Most recently I shipped DocuMind, a live RAG system using FastAPI, LangChain, ChromaDB, and OpenAI, behind HTTPS on a custom domain (originally on AWS EC2 with Nginx; now running on Render). I also built a small evaluation harness for it covering retrieval and generation metrics (recall@k, precision@k, faithfulness, answer relevancy via RAGAS), which taught me how much of RAG work is actually about evaluating the system, not just building it. I have full Australian work rights and am available to start immediately. Open to AI/ML Engineer, Python Backend, or AI-focused engineering roles in Australia.

Available to hire

AI/ML Engineer based in Melbourne. I build and deploy production RAG and LLM applications.

Background: MSc in Artificial Intelligence, with a focus on getting hands-on with the fundamentals. I’ve built GPT, a Vision Transformer, and a multimodal image captioning system from scratch in PyTorch before moving toward production engineering.

Most recently I shipped DocuMind, a live RAG system using FastAPI, LangChain, ChromaDB, and OpenAI, behind HTTPS on a custom domain (originally on AWS EC2 with Nginx; now running on Render). I also built a small evaluation harness for it covering retrieval and generation metrics (recall@k, precision@k, faithfulness, answer relevancy via RAGAS), which taught me how much of RAG work is actually about evaluating the system, not just building it.

I have full Australian work rights and am available to start immediately. Open to AI/ML Engineer, Python Backend, or AI-focused engineering roles in Australia.

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Experience Level

Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate

Work Experience

Associate Lecturer - Python Programming at Buckinghamshire New University
October 1, 2024 - March 31, 2025
Mentored 40+ undergraduate students in Python programming, guiding them in selecting semester assignment projects and supporting them through completion. Ensured students learned version control (Git) and developed strong coding practices. Reviewed projects and supported the senior lecturer in grading at the end of the semester.
Research Assistant (Contract) at Buckinghamshire New University
May 1, 2024 - July 31, 2024
Engineered and built an Annual Energy Consumption Prediction App for UK homes using machine learning models trained on UK EPC datasets. Compared prediction performance across XGBoost and Random Forest models. Delivered and demonstrated the application and research in the BNU Research Conference 2024.

Education

MSc Artificial Intelligence at Buckinghamshire New University
January 1, 2022 - January 1, 2024
BSc Computer Science at Kerala University
January 1, 2019 - January 1, 2023

Qualifications

Machine Learning with Python
January 1, 2023 - August 25, 2026
Introduction to Neural Networks & Deep Learning with Keras
January 1, 2023 - August 25, 2026

Industry Experience

Education, Software & Internet, Professional Services