Joe Minichino is a Senior Cloud Architect with over a decade of experience building serverless, data-driven systems and end-to-end AWS pipelines that move, analyze and visualize large volumes of diverse data. He combines deep expertise in cloud-native architectures (Lambda, Kinesis, Glue, Athena, Sagemaker, Redshift) with hands-on data engineering, ML model development and infrastructure-as-code using Terraform and CDK. A prolific polyglot, he has shipped services in Python, Go, JavaScript and Java and even authored the LokiJS in-memory DB contributions and the book Learning OpenCV 3 with Python, reflecting strong back-end and computer vision credentials. At Teamwork he led design and optimisation of data lakes, Redis performance and CI/CD for ML, and now drives migrations and streaming architectures at fourTheorem. Outside engineering he’s a musician and medieval history enthusiast, a detail that mirrors his blend of creativity and disciplined systems thinking.
12 years of coding experience
19 years of employment as a software developer
Artificial Intelligence / Deep Learning Machine Learning / Artificial Intelligence, Artificial Intelligence / Deep Learning Machine Learning / Artificial Intelligence at Udacity
Higher Certificate in Science in Computing Computing, Higher Certificate in Science in Computing Computing at Munster Technological University
Contributions:52 commits, 46 pushes, 2 branches in 6 months
Contributions summary:Joe primarily contributed to computer vision projects by implementing and testing various algorithms. They worked on tasks such as disparity map calculation, image segmentation using GrabCut and watershed algorithms, and feature detection and matching using SIFT, SURF, ORB, and Harris corner detection. They also explored object detection using HOG features.
Contributions:1 review, 368 commits, 85 PRs in 8 years 9 months
Contributions summary:Joe primarily contributed to the development of the back-end functionality, specifically focusing on enhancing indexing capabilities and improving the database's asynchronous processing features. Their work involved implementing new indexing strategies and optimizing the use of asynchronous operations within the core `loki.js` file. Furthermore, they were responsible for integrating and exporting the database with the Node.js environment. Finally, they fixed various issues related to memory management with deletion operations.
memoryjavascriptnodejsdatabasemobile
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Joe Minichino - Senior Cloud Architect at Packt Publishing