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 resume

education

2019 - 2020

Master's of Information Technology@University of Melbourne

Distributed Computing· GPA 3.3

2012 - 2015

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

  • Streamed live AFL venue cameras to NVIDIA GPUs and ran computer vision models that returned triangulated ball positions and kick trajectories in real time.
  • Built a browser dashboard to view that tracking and to manage venue cameras and inference workers.
  • Built full-stack applications for the AI/ML team that delivered live in-game insights to analysts and clients.
  • Created an athlete tracking dashboard (GPS + LPS) and applied ML to player positions and matchups.
  • Set up CI/CD for automated testing and deployment, with test coverage.

Projects I've worked on

writing & talks

Oct 2024/2024 Common Alerting Protocol (CAP) Implementation Workshop

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.

Sep 2023/Australian Broadcasting Corporation - Engineering Blog

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.

May 2023/ISPRS Archives of Photogrammetry, Remote Sensing & Spatial Information Sciences

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.

Aug 2022/ISPRS Archives of Photogrammetry, Remote Sensing & Spatial Information Sciences

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.

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