Hi, my name is
Abdul Rehman Mohammad
Software engineer building AI/ML systems, real-time data platforms, and full-stack applications, from computer vision to geospatial APIs.
see my resumeeducation
Master's of Information Technology@University of Melbourne
Distributed Computing· GPA 3.3
Bachelor of Science@University of Melbourne
Pharmacology & Chemistry
Worked in biotech and analytical labs 2015-2019 before transitioning to software engineering.
what i do
- Building inference engines for real-time sports analytics
- Computer vision pipelines on NVIDIA GPUs for optical tracking
- NLP models for sentiment analysis and topic modelling on 50GB+ datasets
- Deep neural networks for greenhouse gas emission prediction
- GCP Compute Engine with NVIDIA GPUs for real-time CV inference
- Serverless migration from ECS to AWS Lambda, saving ~$1,200/month
- Docker & Kubernetes on NeCTAR cloud for research workloads
- GitLab CI/CD pipelines for automated testing and deployment
- Next.js dashboards with Tailwind CSS, shadcn/ui, and Recharts
- GraphQL and REST APIs in TypeScript handling high-traffic events
- WebSocket-based real-time systems for live data delivery
- PostgreSQL with PostGIS for geospatial data at scale
- Redis for caching high-traffic endpoints and session management
- CouchDB + Knative for ML on 50GB+ social media datasets
- Geohashing for 100x concurrent user capacity in emergency apps
- d3.js and Recharts for data visualisation dashboards
where i've worked
Full Stack Developer @Champion Data
February 2025 - Present
- Developed full-stack applications for the AI/ML team, integrating with inference engines and **WebSocket-based real-time systems** to deliver live in-game insights for analysts and clients.
- Built infrastructure to stream live camera footage from AFL venues to **GCP Compute Engine VMs running custom computer vision models on NVIDIA GPUs**, delivering **triangulated ball positions and kick trajectories in real time**; inference workers containerised with Docker.
- Delivered a **Next.js browser dashboard** to visualize ball tracking data and manage venue cameras and inference workers, using **Tailwind CSS, shadcn/ui, and Recharts**.
- Created an athlete tracking data dashboard (GPS + LPS) using Next.js, Python, PostgreSQL, and Recharts, applying ML to extract insights on player positions and matchups. Used **Redis for caching and session management**.
- Established **GitLab CI/CD pipelines** for automated testing and deployment; implemented test coverage using pytest and Node.js testing frameworks.
- Engaged with clients to gather requirements and delivered product demonstrations at key milestones.
Projects I've worked on
writing & talks
A Practical Perspective on Managing and Utilising Diverse Data Streams
Presented on practical approaches to integrating and managing heterogeneous data streams for emergency alerting systems.
Lifting the hood on how the ABC combines weather, emergency and location data
Technical deep-dive on the geospatial and weather data integration powering the ABC Emergency platform.
The Australian Digital Observatory: Social Media Collection, Discovery and Analytics at Scale
Peer-reviewed publication on the architecture and capabilities of Australia's national digital observatory for large-scale social media analytics.
Mapping the Chatter: Spatial Metaphors for Dynamic Topic Modelling of Social Media
Research on applying spatial metaphors to dynamic topic modelling for social media data analysis.
certifications
OpenJS Node.js Application Developer
The Linux Foundation - 2024
get in touch
I'm currently available for AI/ML engineering and full-stack development contracts, short or long term. If you're building something that needs real-time data, computer vision, or scalable APIs, let's talk.
Say Hello