Robert Avram

Robert Avram is a self-taught full stack developer with a keen interest in exploring new technologies and innovations within the tech industry. His primary objective is to leverage his expertise, continue learning, and be a catalyst for change within a forward-thinking company committed to making a positive impact.

His professional skills encompass a wide range of competencies including technical management, technical architecture, CI/CD implementation, Python and frameworks such as Django and Flask, JavaScript frameworks like Polymer and Angular, as well as knowledge in machine learning tools like Pytorch and Pandas.

In terms of technical management, Robert has extensive experience overseeing development teams to successfully deliver various modules of enterprise software. He excels in team growth, collaborating with global vendors, and managing external software solutions vendors throughout the project lifecycle. His proficiency extends to Agile methodologies, design sprint facilitation, and utilizing tools for effective project management and collaboration.

Robert's expertise in technical architecture is evident through his ability to decouple existing solutions for enhanced modularity, architect enterprise applications with diverse communication strategies, implement modern authentication techniques for decoupled front-ends, and provision services using Docker containers and Kubernetes/Rancher.

With regards to CI/CD processes, Robert has a strong background in setting up and managing CI/CD pipelines, working with popular tools like CircleCI, Travis, and Drone. Additionally, his proficiency in Python and frameworks enables him to design and develop enterprise web applications and REST APIs using Django, GAE (Google App Engine), or Flask.

In the realm of JavaScript, Robert is adept at constructing sophisticated front ends for complex applications using Web components and various frameworks like Polymer, Angular, and Backbone. Furthermore, his familiarity with machine learning tools such as Pytorch, Pandas, and Numpy equips him to work on creating custom deep learning networks, implementing transfer learning, and utilizing existing models for predictive analysis.

Educationally, Robert undertook studies in Computer Science at Udacity and pursued an Associate's degree in Kinesiology and Exercise Science at the College of the Canyons. His professional journey includes roles as a Technical Lead, Lead Architect, and Full Stack Developer at UNICEF, as well as having served as a Technical Project Manager at RAVdev. Previously, he founded Ollyeo and also served as a Recreation Leader at the City of Santa Clarita.