Machine learning engineer building production-grade MLOps systems end to end.
Selected Projects
Multi-agent AI platform with a Tinder-style swipe UI: upload your résumé, get role recommendations, identify skill gaps, and auto-apply — all orchestrated by four LangGraph agents with FAISS semantic job matching.
Seven-model benchmark (XGBoost, LightGBM, Stacking Ensemble, and more) with MLflow experiment tracking, FastAPI serving, Prometheus metrics, Grafana dashboards, and a drift simulation workflow — all containerised with Docker Compose.
End-to-end classification pipeline on Kubeflow Pipelines running on a local Kubernetes (Minikube) cluster, featuring Genetic Algorithm–tuned SVM (98.25% accuracy, 99.60% AUC-ROC) and Particle Swarm Optimization–tuned Neural Networks across four parameterised pipeline versions.
KMeans clustering on 15 audio features (MFCC, tempo, spectral centroid) via Databricks medallion architecture (bronze→silver→gold), with real-time Kafka streaming, MLflow model registry, and a Flask UI backed by AWS S3 and the Databricks SQL Connector.
Production MLOps pipeline for NYC taxi fare prediction with automated monthly data ingestion via Airflow, PSI-based statistical drift detection, Champion vs Challenger model promotion, and a LightGBM model served as a REST API — fully containerised.
Energy demand forecasting with XGBoost trained on 1.3M rows of EIA930 data, deployed via FastAPI on AWS App Runner with a CI/CD pipeline through GitHub Actions and Docker — from raw multi-source ETL to a live prediction dashboard.
About
I'm a Machine Learning Engineer focused on systems thinking and building production-grade systems. It's easy to obsess over a model's accuracy, but the real work lies in targeting actual business metrics and surviving data drift in production. I specialize in the serving side of AI, building robust ETLs and deploying scalable infrastructure using AWS and core MLOps tools. For me, a project is only truly done when it's actively serving users and handling real-world load without breaking. I am a fresh FAST Islamabad graduate with Cum Laude honors, driven by the challenge of turning complex data into reliable systems. Outside the terminal, you'll find me watching football, jogging, or occasionally swimming.
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