WHO AM I?
I'm Brandon
I'm currently completing my Computer Science degree at the University of Queensland, majoring in Data Sciene. Professionally I work as a full-stack software engineer building real-world cloud and backend systems.
My earlier career started in laboratory testing and mechanical engineering roles before I transitioned into data-driven domain. Over time, my interests developed strongly toward data analytics and Machine learning applicaitons.
While my current professional work is doing full-stack project, which involves building serverless systems on AWS, handling IoT and health telemetry data, and developing dashboards and backend services. My long-term focus still remain in Data Science and LLMs, where I aim to build intelligent systems that turn complex data into meaningful insights and decisions.
Through university and personal projects, I continue exploring machine learning, time-series modeling, and LLM-related systems, combining practical engineering experience with data-focused problem solving.
I'm currently looking to grow toward roles that sit at the intersection of software engineering, data science, and AI systems.
University of Queensland, Brisbane
Bachelor of Computer Science, Data Science Major
- Distinctions: Relational Databases (INFS2200), Cloud Computing (INFS3208), Theory of Computing (COMP2048), Advanced Database Systems (INFS3200), Pattern Recognition & Analysis (COMP3710), Natural Language Processing (COMP4703)
- Projects listed in Projects section
General Assembly
Professional Certificate in Data Science
- Data Science Immersive Program: Exploratory Data Analysis, Statistical Modeling, Machine Learning Projects:
- SAT Participation Analysis: Preprocessed data and built statistical models using Python.
- Iowa Real Estate Pricing: Evaluated linear models with hyperparameter tuning.
- r/nottheonion Classification: Developed a classification model using web scraping and NLTK.
- Crude Oil Price Prediction: Implemented Auto ARIMA, exploring LSTM with GAN for future work
Temasek Polytechnic
Diploma in Chemical Engineering
- A+: Organic Chemistry, Organic Chemistry I
Junior SWE, FrostFlow
Contributing to FrostFlow's cloud and edge platform by building serverless backend services for telemetry and wearable health data, together with IoT emulator and gateway components for device-to-cloud testing.
- Implemented AWS serverless APIs and ingestion flows for telemetry and health data
- Built Fitbit-backed health data integration and normalized cloud data pipelines
- Developed IoT emulator, MQTT gateway, and OTA support for end-to-end device testing
SWE Intern, Planor
Joined Planor, a 3D interior design company to build Alpha product, an AI-powered room design platform from the ground up PoC. Took on the full frontend, system architecture, API integration, and deployment across a 2-month unpaid engagement.
- Designed the system architecture and built all 10 pages of the Next.js frontend, including a drag-and-drop room canvas with @dnd-kit
- Built the typed API client and full TypeScript type system bridging the frontend to the .NET 8 backend
- Implemented auth middleware with Supabase, route protection, consent flow, and JWT handoff to ASP.NET Core
- Configured deployment on Vercel (frontend) and Google Cloud Run (backend), with Dockerised builds and secrets management
Assistant Mechanical Test Engineer, GIC Group Testing & Services
Worked on engineering testing operations, gaining practical experience in different industrial.
- Supported engineering project - Conducted mechanical, environmental, hard-line, and soft-line tests using ASTM, BS, and ISO standards.
- Performed several tests Soft-line products, involving: TB 117-2013, BS EN 5852:2006 / ISO 13934- 1:2013(en) / ISO 1421 / ASTM D3776, D5034, D4970, D3512 / AATCC 15, 61, 8 ,107 , TS-001.
- Analyzed test data for Razor and Secret Labs projects, contributing to significant revenue.
- Collaborated with different teams to deliver project results and maintain operational efficiency.
Laboratory Analyst (L3), CCIC Singapore Pte. Ltd
Conducted laboratory testing and analysis, building early technical and analytical experience.
- Performed laboratory experiments and tests on fuel oil, gas oil, jet oil, and lubricants.
- Familiar with using ICP-OES and Karl Fischer instruments.
- Managed 100-sample projects within 1-2 days, providing statistical analysis for team leads.
- Prepared analytical reports and ensured data integrity with LIMS, SOP compliance.
General
- Java — object-oriented programming & algorithm implementation (Path finding)
- C & Assembly — low-level programming & computer architecture fundamentals (Atmel)
- Rust — device runtime & embedded GUI development
- Data Structures & Algorithms — algorithm design & complexity optimization written in Python
Databases
- SQL — relational database querying, indexing & transactions
- Cloud Computing — NoSQL DBs, containerization, web deployment & distributed data processing (Docker, Nginx, PySpark on GCP)
- Advanced Databases — distributed databases & data warehouse/data lakes fundamentals
Data Science / ML
- Python — Data analysis (EDA) & Machine learning models (regression, classification, neural networks)
- Data Mining — classifier methods, anomaly detection & recommender system techniques
- Natural Language Processing — RAG pipelines, ranking experiments & LLM fundamentals (research report)
- Pattern Recognition — neural network models & GAN-based data modelling on LOB data
Frontend
- Next.js / React — full-stack web apps with App Router, server components & client-side state
- Tailwind CSS — utility-first styling across responsive multi-page applications
- @dnd-kit — drag-and-drop canvas interactions for room design tooling
Backend
- TypeScript / Node.js — production APIs & ingestion services
- C# / .NET 8 / ASP.NET Core — REST API development, JWT Bearer auth, DI, rate limiting
- Supabase — Auth, PostgREST, Storage & row-level security integration
- DynamoDB — telemetry data modelling & storage
- RDS — relational backend storage
Cloud & Infrastructure
- AWS — serverless architecture
- GCP Vertex AI — Gemini 2.5 Flash (vision + text) & Imagen 3 (inpainting) integration
- Google Cloud Run — containerised API deployment with Docker & Cloud Build
- Vercel — frontend deployment, environment configuration & preview deployments
- Terraform — infrastructure automation (CDKTF)
Cloud Big Data Analytics Pipeline
Built a cloud-based analytics environment on GCP using Docker, HDFS, Jupyter, and PySpark to ingest, preprocess, and analyze large-scale e-commerce datasets.
Table Tennis Motion Anomaly Detection
ML pipeline detecting motion anomalies and predicting player experience from large-scale table tennis swing data.
Synthetic Limit Order Book Generation using TimeGAN
Generated synthetic limit order book sequences using TimeGAN and evaluated statistical and temporal realism of high-frequency market simulations.
Multi-Hop RAG QA System Evaluation
Evaluated multi-hop Retrieval-Augmented Generation pipelines using lexical, dense, hybrid, and reranked retrieval methods together with multiple instruction-tuned LLMs.
FrostFlow — Backend Platform
Implemented serverless backend APIs and wearable health data pipelines for telemetry ingestion, Fitbit integration, and internal system validation.
FrostFlow — IoT Device Emulator & Edge Stack
Built an end-to-end IoT device emulator stack with layered edge services, AWS IoT connectivity, OTA update workflows, and desktop GUI integration support.
Shiroku
Built and shipped a post-payment monitoring platform with a FastAPI backend, React frontend, Dockerized local development, branded domain deployment, and a GitHub Actions release pipeline with test-gated publishing and automated branch alignment.
Planor — AI Room Design Platform
Designed and built a full-stack AI room design platform — all 10 pages, a drag-and-drop room canvas, a typed API client, auth middleware, and full deployment configuration on Vercel and Google Cloud Run.