Ed Medvedev
Advisor at Cyfrin
United States
Summary
🤩
Rockstar🎓
Top SchoolEd Medvedev is a seasoned engineering leader and advisor with over 15 years of hands-on software and team-building experience, currently advising startups and crypto projects from the United States. He has led engineering and SRE organizations at scale—shaping reliability, hiring, and org strategy at Chainlink and Axelar—and served as CTO for secure communications and decentralized messaging efforts. Equally comfortable in code and in the C-suite, Ed’s background spans backend development, DevOps, ML model work, and technical writing, with notable open-source contributions to StackStorm (core and integrations) and a TensorFlow-based attention OCR project. He combines product-focused infrastructure thinking (CI/CD, containerized releases, cloud deployments) with a practical emphasis on developer experience and automation. Colleagues rely on him for turning complex distributed-system problems into operational playbooks and resilient platforms. An early StackStorm engineer, he uniquely blends enterprise-grade automation expertise with deep involvement in Web3 reliability and secure messaging.
10 years of coding experience
18 years of employment as a software developer
Norwegian University of Science and Technology
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (40)
github-ci10
docker10
deploying10
apidoc10
python10
sphinx10
ocr10
machine-learning10
dockers10
cicd10
deployer10
automation10
azure-deployment10
api10
tensorflow10
Programming languages (18)
Github contributions (5)
emedvedev/attention-ocr
Jun 2017 - Oct 2021
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
Role in this project:
ML Engineer
ML EngineerContributions:2 releases, 134 commits, 49 PRs in 4 years 4 months
Contributions summary:Ed contributed to the core model functionality of the attention-ocr repository, focusing on improving the TensorFlow model for text recognition. Their work included updating the code to support TensorFlow 1.2.0, integrating TFRecords for data loading, and making minor code style fixes. The changes indicate a focus on the model's underlying architecture and data processing pipeline, essential for the project's machine learning objectives.
pythongoogle-cloud-mlimage-recognitionocr-recognitionml-engine
StackStorm/st2contrib
Aug 2015 - Dec 2016
MOVED! See StackStorm Exchange
Role in this project:Backend Developer
Backend DeveloperContributions:135 commits, 93 PRs, 102 pushes in 1 year 3 months
Contributions summary:Ed's contributions primarily focused on improving and maintaining the Ansible integration within the `st2contrib` repository. The commits involved refactoring and correcting the use of Ansible command line arguments, ensuring proper functionality. Further contributions include creating a sensor for managing executions, adding support for a Typeform pack, and adding Cassandra pack.
nodejsexchangestackstorm
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.