software engineer — data & ML infrastructure
Haider Ali.
I build data platforms,ML tooling, andcomputational infrastructure — from country-risk pipelines to from-scratch math libraries in C++.
about
Built from scratch, shipped for real.
I'm a software engineer who likes going deep: pulling data from messy external sources, engineering features from raw signals, and reimplementing the math that powers ML so it's actually understood.
My projects range from Hermes, a country-risk data platform that unifies five public data sources behind one API, toVecta, a C++17 library that rebuilds ML math chapter-by-chapter with zero external dependencies.
Everything I build is open source and documented — because a tool nobody can understand or reuse isn't a tool at all.
stack
Tools & stack
projects
What I'm building
Foundational intelligence data platform for acquiring, validating, normalizing, storing, and serving country risk datasets.
Real-time data ingestion, anomaly detection, time-series forecasting, and news-sentiment analytics served through a Bloomberg-style dashboard.
End-to-end risk intelligence platform: FastAPI backend, Redis caching, ML forecasting, and a Next.js frontend.
Project scaffolding is in place. Documentation will be published here as the project takes shape.
Project scaffolding is in place. Documentation will be published here as the project takes shape.
A computational maths library for ML, built from scratch in C++17 with Python bindings, chapter-by-chapter after Mathematics for Machine Learning.
contact
Let's talk
Open to collaborations, interesting problems, and feedback on the projects.