Hussain Abuwala

Software Developer at IBM, Toronto. 3+ years building AI/LLM and backend systems.

hussainabuwala.1997@gmail.com 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

Metadata enrichment v2

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

Data Stories

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 query results in IBM watsonx.data. Charts are drawn by hand or recommended by rules in the browser, which read column types, the SQL’s grouping and aggregation, and the natural order of values.

React · JavaScript · MobX · Carbon Charts

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

Metadata enrichment v1

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

Suggested Questions

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 2026Everything Has a Price: a drawn figure tied to a price tag labelled TIME

An animated essay about desire and what it costs. 2 min 44 s.

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.