I am Devon Current, a senior software engineer with 7+ years of experience building full-stack applications across frontend and backend. I am proficient in Python and JavaScript, with a track record spanning data visualization, data analysis, ML pipelines, and large-scale data infrastructure. I enjoy learning new technologies and adapting to diverse engineering challenges. I am seeking remote opportunities to apply my strong technical problem-solving skills while collaborating with distributed teams.

Devon Current

I am Devon Current, a senior software engineer with 7+ years of experience building full-stack applications across frontend and backend. I am proficient in Python and JavaScript, with a track record spanning data visualization, data analysis, ML pipelines, and large-scale data infrastructure. I enjoy learning new technologies and adapting to diverse engineering challenges. I am seeking remote opportunities to apply my strong technical problem-solving skills while collaborating with distributed teams.

Available to hire

I am Devon Current, a senior software engineer with 7+ years of experience building full-stack applications across frontend and backend. I am proficient in Python and JavaScript, with a track record spanning data visualization, data analysis, ML pipelines, and large-scale data infrastructure.

I enjoy learning new technologies and adapting to diverse engineering challenges. I am seeking remote opportunities to apply my strong technical problem-solving skills while collaborating with distributed teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Research Scientist at Georgia Tech Research Institute (GTRI)
January 1, 2025 - March 1, 2025
Full-stack developer in a fast-paced field office (20-30 engineers), delivering software solutions for national-security research projects spanning AI/ML, simulation, data visualization, and system optimization. Key developer on a $2.5M project, leading design, React front-end, and back-end optimization. Built RL environments and ML pipelines using OpenAI Gym, Stable Baselines, and automated experimentation tooling. Designed and implemented a Bayesian optimization system that reduced RL model tuning time by 80%. Architected a petabyte-scale time-series data platform integrating PostgreSQL, Neo4j, and real-time telemetry pipelines supporting ML experimentation. Directed a $130k research effort supporting reinforcement learning experimentation in a customized simulation environment.
Senior Full Stack Software Developer at Berkshire Gray
May 1, 2025 - February 1, 2026
Building operational dashboards, visualization tools, and configuration interfaces for warehouse automation systems. Contributed to real-time data visualization, authentication standardization across multiple applications, and modernization of legacy services. Built React/Redux dashboards and warehouse visualization tools driven by real-time telemetry via Web Sockets. Led authentication consolidation across three internal apps, implementing shared login flows and standardizing authentication behavior. Migrated a legacy service from Python 2 to Python 3 and aligned backend data flow patterns with Redux-based frontend state management. Developed and debugged features across JavaScript/TypeScript frontends and Python services using Docker environments and ELK-based logging. Coordinated cross-repository integration, QA testing, and pull requests while collaborating with a 7-engineer UI team.
Senior Full Stack Software Engineer at Berkshire Grey
May 1, 2025 - February 1, 2026
Built React/Redux dashboards and warehouse visualization tools driven by real-time telemetry via WebSockets. Led authentication consolidation across three internal applications, implementing shared login flows and standardizing authentication behavior. Migrated a legacy service from Python 2 to Python 3 and aligned backend data flow patterns with Redux-based frontend state management. Developed and debugged features across JavaScript/TypeScript frontends and Python services using Docker environments and ELK-based logging. Managed QA testing and streamlined pull request processes for a 7-engineer UI team working across three major repositories, improving code integration efficiency.
Research Scientist I at Georgia Tech Research Institute (GTRI)
January 1, 2020 - March 1, 2025
Key developer on a $2.5M project, leading design, React frontend, and backend optimization. Built RL environments and ML pipelines using OpenAI Gym, Stable Baselines, and automated experiment tooling. Designed and implemented a Bayesian optimization system that reduced RL model tuning time by 80%. Architected a petabyte-scale time-series data platform integrating PostgreSQL, Neo4j, and real-time telemetry pipelines supporting ML experimentation. Directed a $130k research effort supporting reinforcement learning experimentation in a custom simulation environment.

Education

Graduate Coursework in Machine Learning at Georgia Institute of Technology
January 1, 2021 - January 1, 2022
Bachelor of Science in Computer Science at Ball State University
January 11, 2030 - May 1, 2019
BS - Computer Science at Ball State University
September 1, 2014 - May 1, 2019
Graduate Coursework - Machine Learning at Georgia Institute of Technology
September 1, 2021 - May 1, 2023

Qualifications

Best UX Award and Special Judge's Award, National BRAVO Hackathon
July 1, 2022 - April 23, 2026
Deep Learning Specialization
November 1, 2020 - April 23, 2026
Active U.S. Security Clearance
January 11, 2030 - January 1, 2031
Active U.S. Security Clearance
January 11, 2030 - May 5, 2026
Deep Learning Specialization
November 1, 2020 - May 5, 2026
Best UX Award and Special Judge’s Award, National BRAVO Hackathon
July 1, 2022 - May 5, 2026

Industry Experience

Software & Internet, Government, Professional Services, Manufacturing