Hi, I’m Uzair 👋
I’m a principal software engineer with 8+ years across healthcare, IoT, data engineering and SaaS. Bring me a problem and I’ll design the system, build it with your team or on my own, and leave it in a state your people can run.
Ingestion pipelines that chunk, embed and load documents into vector databases, with agent workflows built on LangChain, LangGraph and Google ADK for retrieval and automated insights.
Retrieval and reporting that analysts used to do by hand.
Split a large IoT backend into independently deployable services, with a Consul service mesh for discovery, health checks and traffic management.
Services ship on their own schedule instead of one release train.
Re-architected legacy Databricks jobs as versioned, tested dbt models with clear lineage between sources and marts.
Transformations became reviewable SQL with tests in CI.
I start with the people who will use it and the numbers that define success, then write down what we are not building.
A small end-to-end version reaches real users early, so we learn from usage instead of guessing.
Tests, monitoring and docs go in while we build, so the system stays fast and your team can run it without me.
Technical lead across AI, data and product engineering for clients in IoT, sports, real-time social and analytics.
Enterprise EHR software for the US healthcare market.
Automated testing for large-scale AWS data pipelines.
How I approached re-architecting a legacy Databricks pipeline as dbt models: inventory, layering, tests, and running both side by side until the numbers matched.
The order I work in when a landing page ships too much JavaScript: measure, split by route, defer everything below the fold, and keep it from growing back.
Tell me what you’re building and what a good outcome looks like. Full-time roles are welcome too.