AI Engineer | Full Stack AI Engineer I turn your raw, messy data into production-grade AI systems that predict, automate, and scale. Full-stack, explainable, and cloud-ready.
You have data. Maybe a lot of it. But raw data doesn't make decisions — intelligence does.
I build the systems that bridge that gap. Whether you need to predict what happens next, understand why customers leave, automate your most expensive workflows, or deploy an AI product your users will actually love — I design and build it end-to-end.
No handoffs. No jargon. Just working intelligence, shipped fast.
Strategy, data, models and deployment — all under one roof.
Architectural depth across the full ML engineering stack.
Enterprise-grade ML solution predicting high-value customer churn before it happens — utilising XGBoost, K-Means clustering, and SHAP explainability within an interactive Streamlit dashboard that gives business teams real-time, actionable risk signals.
Advanced weather prediction system built for the NASA Space Apps Challenge — using ML and massive geospatial datasets for high-precision Earth observation forecasts, deployed on AWS with automated data ingestion from NASA satellite APIs.
Advanced ML diagnostic dashboard with segregated Patient & Doctor portals — predicts 48 diseases with 99.5% accuracy from symptoms, ADA-compliant diabetes agent with PDF/image OCR, non-invasive risk scoring, bilingual EN/AR UI, and a live clinic management suite.
Resilient, testable web scraping pipeline for Amazon search results — using browser-fingerprint impersonation (scrapling + curl_cffi) to bypass bot detection, storing enriched product data in SQLite with CSV export, and generating visual analysis reports (price histograms, ratings scatter plots) via Pandas & Matplotlib.
A clear, structured process so you always know what's coming next.
We dig into your data, business goals, and what "success" actually means — before writing a single line of code.
Deep exploratory data analysis to uncover patterns, clean noise, and identify the most powerful predictive signals.
Select, tune, and validate the right model architecture. Every decision is explainable and benchmarked rigorously.
Package into production-ready APIs, containerise with Docker, and deploy to cloud — with monitoring baked in from day one.
Most businesses sit on a goldmine of data but don't have the shovel. I build custom AI tools that turn your raw numbers into actionable growth. Let's turn your "what ifs" into "what's next."