Chris聽Abbott
Roboticist, Data Engineering
Cambridge, Massachusetts, United States
Summary
馃懁
Senior馃帗
Top SchoolChris Abbott is a data generalist and roboticist with 11 years of experience building scalable data platforms, real-time ingestion systems, and ML/vision pipelines across startups and research labs. Based in Cambridge, MA, he combines hands-on engineering and team leadership鈥攈aving led data engineering at YieldX/FNZ and contributed core pipeline work at Toyota Research Institute鈥攚hile now applying that breadth to robotics and data engineering at RAI Institute. His technical toolkit spans Python, Kotlin, Spark/Beam, Airflow, cloud infra on AWS/GCP, Terraform, and GPU-accelerated processing for production ML workloads. Notably, he has delivered high-throughput pricing ingestion and large-scale financial data warehouses as well as fleet-scale autonomous-vehicle data pipelines, demonstrating both product-facing and research-grade execution. Chris鈥檚 background in clinical EEG research and service as a medical assistant hints at a practical, systems-first mindset and an ability to thrive in multidisciplinary teams.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Computer Science - BCS Software Engineering, Bachelor of Computer Science - BCS Software Engineering at Carleton UniversityMaster of Science - MS Data Science, Master of Science - MS Data Science at University of Colorado Boulder
English
Github Skills (55)
pytorch10
python10
machine-learning10
deep-learning10
natural-language-processing10
nlp10
image-processing9
transformers9
language-model9
bert9
tensorflow9
speech-recognition9
transformer9
computer-vision9
opencv8
Programming languages (5)
Github contributions (5)
chrisabbott/distributed-unet
Nov 2019 - Nov 2020
Classifying EM-shower particles and track particles using Unet and Horovod
Contributions:29 commits, 10 PRs, 69 pushes in 1 year
pythonhorovodparticlesshowerlartpc
chrisabbott/math
Oct 2017 - Oct 2019
Contributions:8 pushes, 1 branch in 2 years 1 month
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