Serhiy Shekhovtsov
Co-Founder at LamarHealth
Lviv, Lviv Oblast, Ukraine
Summary
👤
SeniorSerhiy Shekhovtsov is a machine learning engineer and seasoned software leader with 11 years of experience who co-founded ShortPoint and currently co-leads LamarHealth. He designs product architectures, solves critical engineering challenges, and has hands-on experience hiring and mentoring developer teams while moving between full-stack and ML-focused roles. His background spans production .NET web systems to deep learning and computer vision for healthcare, including research engineering at Voiceitt and contributions to the ALCF Concept to Clinic challenge where he implemented front-end and backend features for medical image annotation. Serhiy combines product-minded engineering with research fluency, favoring practical ML/DS applications in health and care delivery. Notably, he brings startup founder pragmatism to technical depth—able to prototype algorithms, ship UI/UX improvements, and integrate APIs across the stack.
11 years of coding experience
13 years of employment as a software developer
English
Stackoverflow
4,397reputation
705kreached
56answers
48questions
tensorflow
top-5%
nlp
top-1%
deep-learning
top-5%
Github Skills (31)
api-rest10
javascript10
back-end-development10
api-design10
restful-api10
django10
css10
user-interface10
front-end-development10
vue10
html10
rest-api10
nlp10
backend10
vue-jsx10
Programming languages (12)
Github contributions (5)
drivendataorg/concept-to-clinic
Sep 2017 - Jan 2018
ALCF Concept to Clinic Challenge
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:41 commits, 23 PRs, 141 comments in 4 months
Contributions summary:Serhiy primarily focused on front-end development, implementing new components and features for the user interface. They worked on the "Detect and Select" and "Annotate and Segment" views, adding features like nodule marker display, area selection, and the ability to copy annotations between slices. The user also made backend changes to support the frontend updates, implementing APIs for saving nodule area and handling candidate review status.
clinic
VITechLab/aws-sagemaker-examples
Dec 2019 - Mar 2020
Example notebooks that show how to use VITech Lab SageMaker Models & Algorithms to apply machine learning and deep learning in Amazon SageMaker
Contributions:25 commits, 22 pushes, 1 branch in 2 months
sagemakeramazon-sagemakerdeep-learningamazonmachine-learning
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