I'm a Data & Backend Engineer passionate about building scalable, high-performance distributed systems. I specialise in real-time data processing, cloud infrastructure, and streaming architecture using tools like Python, Java, AWS, PostgreSQL, and gRPC. My experience spans sports data platforms, cloud automation, and big data pipelines solving complex engineering problems in regulated and high-throughput environments. I’m especially drawn to the intersection of data infrastructure and meaningful product impact. I share projects and insights on GitHub and my blog, where I write about cloud computing, AI, backend architecture. Feel free to connect with me on LinkedIn.
A serverless website that uses image recognition and a chatbot to offer services on beverages - Built with AWS services
An image caption generator built using deep learning to describe images
A microservice-based e-commerce system, seamlessly dockerized for streamlined deployment and scalability
gRPC: Fast, efficient, and built for real-time communication.
AI: Friend, Not Foe! Cracking the Code on Artificial Intelligence
Unpack domain modeling, the key to translating business requirements into technical solutions. Through identifying entities, defining relationships, and employing UML diagrams, this vital step ensures software aligns with user needs, simplifying development and fostering clear stakeholder communication.
API performance enhancement, covering caching strategies, data compression techniques, and effective payload management
Explore why Kubernetes, the powerful solution for managing containerized applications, is indispensable despite its perceived complexity in the software-dominated business landscape
Software Engineer, March 2023 - Present
Cloud Support Engineer, September 2020 - August 2021
Web Developer Intern, June 2017 - August 2017
Python, Java
Git, SQL & PostgreSQL, Django, Linux, Docker, Hadoop, Elasticsearch, Grafana, Jenkins, Docker, Kubernetes
Amazon Web Services (AWS), Infrastructure as Code, Agile, Scrum