Gibson Chikafa
Software Engineer at Hopsworks
Stockholm, Stockholm County, Sweden
Summary
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Rockstar🎓
Top SchoolGibson Chikafa is a software engineer based in Stockholm with 6+ years of hands-on experience building distributed systems and ML infrastructure, and over 8 years in the broader software field. He currently contributes to Hopsworks, enhancing its Feature Store and data-intensive AI platform with backend and DevOps work—notably improving S3 connectors, dataset split management, Airflow workflow integrations, and container resource monitoring. Gibson holds a Master's in Software Engineering of Distributed Systems from KTH and has practical HPC and many-core RISC-V experience from research work, including custom GEM5 instruction extensions and FPGA implementations. He blends production-grade platform engineering with low-level systems research, which helps him bridge gaps between scalable ML platforms and high-performance computing.
6 years of coding experience
5 years of employment as a software developer
Master's degree, Software Engineering of Distributed Systems, Master's degree, Software Engineering of Distributed Systems at KTH Royal Institute of TechnologyBachelor of Science (BSc), Mathematics and Computer Science, Bachelor of Science (BSc), Mathematics and Computer Science at University of Malawi - Chancellor College
Stackoverflow
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Github Skills (16)
aws-s310
feature-store10
amazon-s310
python10
s3-bucket10
dockers9
java9
devops9
data-engineering9
airflow9
docker9
javas9
git8
kubernetes-pods7
kubernetes7
Programming languages (11)
Github contributions (5)
logicalclocks/hopsworks
Aug 2020 - Dec 2022
Hopsworks - Data-Intensive AI platform with a Feature Store
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:5 reviews, 38 commits, 69 PRs in 2 years 4 months
Contributions summary:Gibson's commits primarily focus on enhancing the feature store functionalities, particularly regarding S3 storage connectors and data split management within the Hopsworks platform. They addressed issues related to encrypted S3 buckets and enforced unique names for training dataset splits. Furthermore, the user implemented improvements to the workflow builder, including sanitization of job names and enabling job argument passing within the Airflow workflow. Their contributions also include refactoring the Python and Git integrations, and improvements to resource monitoring within Docker containers.
gcppythonserverlessai-platformhopsworks
gibchikafa/hopsworks
Jul 2020 - Feb 2024
Hopsworks - Data-Intensive AI platform with a Feature Store
Contributions:135 pushes, 74 branches in 3 years 7 months
pythondata-sciencedeep-learningai-platformmachine-learning
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