AI/ML Engineer

A Qwen 2.5 7B Instruct model fine-tuned with QLoRA to speak natural Urdu: Urdu script, Roman Urdu, and Urdu/English code-mixing. The current version reaches a 79.5% pairwise win rate over the base model across two independent LLM judges on a 100-prompt evaluation set, recovers every regression its predecessor introduced, and adds RAG-aware training that makes retrieval safe on factual queries. Validated with a multi-judge harness (including a free Claude-Code-CLI judge) and shipped as a live Gradio + Modal demo. A first end-to-end fine-tune, built in public for about $60.

Machine learning system that predicts US PERM labor certification outcomes and explains why using SHAP. Features a 5-stage MLOps pipeline, GridSearchCV across 5 boosting models, threshold-tuned Gradient Boosting, and a FastAPI backend with per-prediction explainability.

Machine learning system for groundwater monitoring and prediction in Pakistan, built on 22 years of satellite data (2002-2024) from GRACE and GLDAS. Features time-series forecasting with Gradient Boosting (R²=0.89), interactive district-level maps, and a Flask API for predictions.