Brian Tang

I am a senior software engineer plumbing the depths of Machine Learning Operations (MLOps) and Data Engineering.

I have experience deploying machine learning infrastructure for small and large organisations: from dealing with the nitty gritty of Kubernetes and autoscaling, to optimising database queries and algorithms leveraging CUDA (via the Numba API).

You can get in touch with me via [LinkedIn] or [email], and I tinker at [Github].

Projects

1. In-memory vector database written in Rust. Implements IVFFlat and Locality Sensitive Hashing (LSH) [Github]

2. Video semantic search & topic summarization. Summarization uses the Louvain algorithm to identify similar topics across a sermon. [Github]

   • Website - Martyn-Lloyd Jones sermons

3. Semantic search of the Bible [Github]

4. Rules-based motion detection and video streaming with a Raspberry Pi [Github]

5. Neural networks from scratch [Github]

Other achievements

1. Recipient of the Simon Edwards Award by Team Up UK.
2. 2nd of 50, PayHack 2023. Real-time browser-based CV model to compare products and pay-on-the-go.
3. 3rd of 89, RHB ASEAN GYHO 2023. Shopify-like storefront for small retailers with SEO-optimized copywriting using LMs.