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Jacob Michae

@jacobmichae

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Senior software engineer specializing in distributed systems, cloud architecture, and AI.

United States

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What I'm looking for

I seek a hands-on technical leadership role building scalable, cloud-native systems that integrate ML, with a collaborative team culture and growth opportunities.

I am a results-driven software engineer and computer scientist with a Ph.D. in Computer Science and deep expertise in distributed systems, cloud architecture, and machine learning. I design scalable, cloud-native microservice architectures, integrate ML-driven automation, and lead teams to deliver secure, high-availability systems that improve performance and user engagement.

My background includes academic research in distributed algorithms and fault tolerance, practical full-stack and DevOps experience, and multiple cloud and Kubernetes certifications. I have a track record of publishing research, deploying production AI features, and mentoring engineering teams to reduce release errors and increase system scalability and analytics capabilities.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Infinite Tech

Jan 2023 - Present (2 years 10 months)

Led development of cloud-native enterprise systems, designing microservice architectures that increased performance and scalability by 40% and integrating ML-driven automation to improve analytics and product efficiency.

Microservices Cloud Architecture Kubernetes Docker Python Go CI CD AWS

Software Engineer

Tech Innovators LLC

Jan 2022 - Jan 2023 (1 year)

Built full-stack applications and high-performance REST/GraphQL APIs, implemented automated testing and CI/CD pipelines that reduced release errors by 30%, and deployed AI-driven features to production.

React PostgreSQL REST GraphQL CI CD Automated Testing Docker Python

Research Assistant

Carnegie Mellon University

Jan 2016 - Jan 2018 (2 years)

Conducted research on distributed algorithms, fault tolerance, and ML systems, published papers and developed simulation models adopted by researchers and lab partners.

Distributed Systems Fault Tolerance Machine Learning Simulation Research Python C++Algorithms

Education

Degrees, certifications, and relevant coursework

Massachusetts Institute of Technology

Doctor of Philosophy, Computer Science

2018 - 2022

Activities and societies: Research in distributed systems and AI; publications and conference presentations.

Ph.D. in Computer Science with specialization in Software Engineering, Distributed Systems, and Artificial Intelligence completed at MIT from 2018 to 2022.

Carnegie Mellon University

Master of Science, Software Engineering

2016 - 2018

Activities and societies: Research assistant in AI & Distributed Computing Lab; published work and developed simulation models.

Master of Science in Software Engineering from Carnegie Mellon University from 2016 to 2018, focused on software engineering and distributed computing.