Sam Kovaly
Data Scientist
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolSam Kovaly is a data scientist and machine learning engineer with 8 years of hands-on experience building end-to-end ML systems, from raw time-series data ingestion to lightweight models that meet embedded constraints. Based in Cambridge, MA, he has strong applied expertise in biosignal processing (EMG/IMU), having built a wrist-lift detector with ~0.97 F1 and designed a concurrent optimization library to accelerate parameter tuning across large datasets. Sam combines backend and DevOps skills—contributing scheduled-run APIs and Celery/RabbitMQ infrastructure to the popular open-source Orchest project—with production ML workflows on Vertex AI and BigQuery. He also brings a research mindset from UMass Amherst (co-author on a NAACL paper) and practical full-stack experience, enabling him to bridge data engineering, model development, and deployment in resource-constrained environments.
8 years of coding experience
5 years of employment as a software developer
UMass LowellMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Massachusetts Amherst
Stackoverflow
426reputation
18kreached
23answers
6questions
Github Skills (28)
api-rest10
docker10
data-pipelines10
python10
apidoc10
api-design10
restful-api10
celery10
dockers10
etl10
api10
rest-api10
data-pipeline10
kubernetes9
flask-ask9
Programming languages (3)
Github contributions (5)
orchest/orchest
Jun 2020 - Jun 2020
Build data pipelines, the easy way 🛠️
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:6 commits, 1 PR, 5 pushes in 13 days
Contributions summary:Sam focused on enhancing the Orchest API and its associated infrastructure, implementing scheduled pipeline functionality. This involved the creation of a new API endpoint for scheduled runs, along with the integration of Celery for task scheduling and database management. They also made several infrastructure improvements, including setting up persistent RabbitMQ queues and making changes to the Docker configuration. In addition, the user made updates to the deployment scripts (e.g. `orchest.bat` and `orchest.sh`).
pythondataorchestdagproduction
samkovaly/SpotifyAPIMusicProfile
Feb 2020 - Jan 2021
Django API that connects users to the Spotify API and returns a 'music profile' of their top artists & tracks
Contributions:50 pushes, 1 branch in 11 months
apireturnspythondjangospotify
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