ML Engineer

Hadiqa Basit

I build production ML and AI systems that make decisions at scale.

30,000 clients matched daily via reinforcement learning

200,000+ products with ML-automated daily pricing

1,000s of investor conversations weekly via AI

Hi there! I'm an ML engineer at Dubizzle Labs, where I design and ship ML/AI systems that run in production every day. My work spans reinforcement learning, LLM-powered agents, NLP, and ML-driven pricing, always with a focus on solving real business problems and measuring what changed. I've taken projects from first research to production deployment, built services from the ground up, and presented directly to stakeholders up to the CEO.

Based in Pakistan · Open to remote freelance and full-time opportunities

Download CV

Selected Work

Projects taken from research to production.

Problem

What I Built

Stack

Technologies I work with regularly.

Python Reinforcement Learning LangChain OpenAI API FastAPI SQLAlchemy PostgreSQL Docker GitHub Actions spaCy SBERT pgvector Pydantic MySQL Statistical Testing

Publication

Peer-reviewed research.

A Novel Poisson–Weibull Model for Stress–Strength Reliability Analysis in Industrial Systems

Bayesian and Classical Approaches

Axioms (MDPI) · Vol. 14, Issue 9 · August 2025

Co-authored a peer-reviewed paper introducing the Poisson–Weibull Distribution (PWD), a novel three-parameter probability model for reliability analysis of industrial systems with parallel components. Built both classical (MLE) and Bayesian (MCMC) parameter estimation, with Monte Carlo simulation studies validating estimator behaviour across varied sample sizes and parameter configurations.

Cited by Liu et al. (Mathematics, 2026) in their work on Weibull parameter estimation under censored data.

DOI Code