Hussain Abuwala
Software Developer at IBM, Toronto. 3+ years building AI/LLM and backend systems.
hussainabuwala.1997@gmail.com · github · youtube · linkedin · résumé
I work on LLM-powered analytics in IBM watsonx BI. I’m curious about software in general, and I share what I build and learn on The Unplanned Stack.
Work
Software Developer, Band 7, IBMOct 2025 – present
Cut cost per asset from $5.32 to $0.009 by rebuilding watsonx BI metadata enrichment as a native LLM pipeline that replaced external dependencies. 6.5× faster, accuracy above 90%, and $19K in monthly customer savings.
Java · Node.js · TypeScript · LLMs · Embeddings · RabbitMQ · Kubernetes
An analytics agent that finds two or three verifiable findings in a dataset without the user asking a question. Selected for executive review.
Node.js · TypeScript · LLMs
Custom Instructions
Lets business users write domain rules in plain language. The rules feed asset discovery and SQL generation, so answers follow each customer’s business context.
Node.js · TypeScript · LLMs · Kubernetes
Visualization editor
A chart editor for IBM watsonx.data with manual authoring and automatic chart recommendations, using metadata enrichment, aggregation selection, semantic sorting and type inference.
React · Node.js · LLMs
Number formatting
Currency, percentage and number formatting across text answers and charts, which unblocked a prospective customer.
Node.js · TypeScript · LLMs · Kubernetes
Software Developer, Band 6, IBMJan 2024 – Sep 2025
Cut glossary uploads from about 20 minutes to under 3 by modernizing the legacy enrichment service and integrating watsonx.data intelligence classification. It powers five services: conversational analytics, visualization, insights, semantic search and Suggested Questions.
Java · Node.js · TypeScript · Embeddings · RabbitMQ · Docker · Kubernetes
An LLM service that generates and pre-validates answerable questions from enriched schemas, giving users a guided first interaction. Won an IBM Outstanding Innovation Award.
Node.js · TypeScript · LLMs · Embeddings · RabbitMQ · Docker · Kubernetes
Skills
- Languages
- TypeScript, Java, Python, Bash
- AI
- LLMs, Prompt engineering, Agents, Embeddings
- Backend
- Node.js, RabbitMQ, SQLite, nginx
- Frontend
- React
- Infrastructure
- Docker, Kubernetes, Linux, Git, k6
Education
University of Waterloo2022 – 2023
Master of Mathematics (MMath) in Computer Science
CGPA 94/100
Monash University2016 – 2020
Bachelor of Computer Science (Honours)
CGPA 4.0/4.0 · Overall Best Graduate (100+ cohort) · High Achiever Award (top 1%)
Projects
URL ShortenerOct 2026
Load-tested through nine scripted events up to 10% of Bitly’s traffic, changing the design only when an event broke it. Final version: about 877M redirects a month at 14.8 ms p99 with 0% errors, for €9.56 a month.
TypeScript · Node.js · SQLite · nginx · Litestream · Linux · Bash · k6 · Python
LLM from scratchOct 2026
A language model built step by step, from a table of counts to a small Transformer. Each episode has a notebook, tests, and two videos. 3 of 14 episodes published.
Python · NumPy · Jupyter · Matplotlib · unittest
Thoughts
Everything Has a PriceSep 2026
An animated essay about desire and what it costs. 2 min 44 s.
Outside work
Log
- 2026-10
- Published the URL shortener: nine load events, every number measured.
- 2026-10
- LLM from scratch, episode 3: from counts to weights, softmax and loss in NumPy.
- 2026-09
- Published Everything Has a Price.
- 2026-09
- LLM from scratch, episode 2: trigrams and the sparsity wall.