Systems Engineer & MLOps Expert
8+ years of experience building scalable ML infrastructure and end-to-end systems in financial, gambling, and investment banking industries
Get In TouchI'm a passionate Systems Engineer with 8+ years of experience specializing in MLOps, DevOps, and cloud architecture. Currently working as an MLOps Engineer at InstaDeep, I focus on building scalable machine learning infrastructure and optimizing deployment workflows.
My expertise spans across Python, AWS, Kubernetes, and modern DevOps practices. I've successfully led teams, designed cloud architectures, and implemented compliance-focused solutions in highly regulated environments including financial services and gambling platforms.
I hold a First Class BSc in Computer Science (AI) from the University of Greenwich and have worked with cutting-edge technologies like Flyte, MLflow, Kubernetes, and blockchain solutions.
A cross-platform media player application built with modern web technologies. Features advanced video playback capabilities, playlist management, and support for multiple media formats. Designed with a clean, intuitive interface for optimal user experience.
Advanced reinforcement learning project implementing AI agents for Tekken 7. Utilizes deep Q-learning and policy gradient methods to train intelligent game-playing agents. Demonstrates practical applications of RL in complex, real-time environments.
Cloud-native deployment framework for JAMstack applications on AWS infrastructure. Automates provisioning of scalable, secure cloud resources with integrated CI/CD pipelines. Simplifies the deployment process for modern web applications.
Kubernetes management tool for orchestrating stateful applications at scale. Provides advanced deployment strategies, monitoring capabilities, and automated scaling for containerized workloads. Designed for production-grade Kubernetes environments.
Real-time computer vision application for counting people using OpenCV and advanced object detection algorithms. Implements background subtraction, object tracking, and directional counting for accurate people flow analysis in various environments.
Explore additional projects including blockchain implementations, machine learning experiments, DevOps automation tools, and cloud infrastructure solutions. Each project demonstrates different aspects of modern software development.
Ready to discuss your next project or explore opportunities? I'd love to hear from you!