Serj Smorodinsky

Machine Learning & AI Team Lead (NLP) at Loris.ai

Center District, Israel
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Serj Smorodinsky is a Machine Learning and AI Team Lead specializing in NLP with a decade of experience building production-grade ML systems and scaling data science teams. Currently leading NLP research, MLOps best practices and core algorithm implementation at Loris.ai, he combines hands-on engineering with stakeholder-facing product and handover responsibilities. He has founded and led R&D in AI startups (RenewSenses, Sensi.AI), bringing practical experience in audio, computer vision and real-time systems and winning multiple IIA grants. As a lecturer and content creator he translates complex agentic and ML-in-production concepts into teachable material, demonstrating a commitment to knowledge-sharing beyond the codebase. With an MSc in Bioinformatics, Serj blends academic rigor with a pragmatic focus on deploying generative AI and robust NLP pipelines.
code10 years of coding experience
job7 years of employment as a software developer
bookMaster of Science (M.S.), Bioinformatics, Master of Science (M.S.), Bioinformatics at Bar-Ilan University
github-logo-circle

Github Skills (34)

face-detection10
language-model10
android-app10
android10
face-recognition10
image-processing9
java9
python9
opencv9
input-field9
android-architecture9
android-apps9
object-detection9
deep-learning8
machine-learning8

Programming languages (7)

JavaCSSC++JavaScriptJupyter NotebookPythonKotlin

Github contributions (5)

github-logo-circle
A project that enables identification and classification of an intent of a message with dynamic labels
Contributions:12 PRs, 22 pushes, 12 branches in 3 months
classification
This project aims to build a small language model for few-shot classification tasks. This includes all of the infrastracture needed to train it, run predictions and compare methodologies. Overall I'm interested in researching how far can we push the performance of small language models.
Contributions:32 pushes, 1 branch, 1 comment in 4 months
classificationlanguage-modelsmall-language-models
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial