I design, build and deploy production-ready machine-learning services and modern web applications that turn data into real-world impact. My work spans model research, scalable APIs, cloud-native infrastructure and end-to-end DevOps automation.
Comprehensive skill set spanning the entire AI/ML pipeline from research to production
Shipped 4 PyTorch microservices to prod (>1M req/mo)
Built scalable REST/GraphQL APIs serving 10K+ concurrent users
Automated CI/CD pipelines with 99.9% uptime
Processed 100TB+ datasets with distributed computing
Open-source projects and production systems showcasing software engineering expertise
Multiplayer Battleship game with real-time multiplayer functionality and a responsive UI.
Real-time inference API serving a PyTorch model for iris-species classification; fully containerised and CI-tested.
End-to-end forecasting pipeline across 6 countries & 7 years, reaching a 4.8 % MAPE via feature engineering and Optuna tuning.
Android recipe manager with offline caching, secure multi-device sync and MVVM clean architecture.
Desktop app to catalogue and track media libraries with optimised SQLite DAO layer (<150 ms queries).
Building technical expertise through formal education and professional certifications
Pursuing comprehensive education in computer engineering with focus on software development, algorithms, and system design.
Comprehensive certification covering linear algebra, calculus, and statistics for machine learning applications.
Professional certification program covering data analysis, visualization, and business intelligence tools.
I'm always excited to discuss innovative software projects, research opportunities, and potential collaborations. Let's build something amazing together.
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