Elisha Kramer
AI Developer at Fronteir AI
Jerusalem, Jerusalem District, Israel
Summary
🤩
Rockstar🎓
Top SchoolElisha Kramer is an AI developer and full-stack engineer with nine years of experience building scalable web and AI-driven products from Jerusalem. He has shipped production tooling and DevOps improvements for high-profile open-source projects like GPTR — helping it grow to 20K+ stars through backend, Docker, scraping and multi-agent integrations. At Frontier AI and prior roles at Fiverr and King Commerce he focused on automating research, personalized marketing systems, and full-stack solutions that bridge frontend UX and robust backend infrastructure. A former Udemy instructor and meetup organizer, he blends hands-on engineering with community-driven knowledge sharing. He also volunteers with a US-registered charity supporting disadvantaged communities in Israel, reflecting a consistent commitment to impact beyond code.
9 years of coding experience
9 years of employment as a software developer
Master of Arts (M.A.), Master of Arts (M.A.) at The Hebrew University of JerusalemBachelor of Arts (B.A.), Bachelor of Arts (B.A.) at Bar-Ilan UniversityFull-Stack Web Development, Full-Stack Web Development at ElevationHigh School Diploma, High School Diploma at Ramaz School
English, Hebrew
Stackoverflow
86reputation
107kreached
10answers
0questions
Github Skills (18)
docker10
python10
dockers10
selenium9
webscraping9
selenium-ide9
api8
apim8
api-design8
langchain7
mean-stack6
web-deployment6
angular6
heroku6
nodejs6
Programming languages (10)
Github contributions (5)
assafelovic/gpt-researcher
Jul 2023 - Apr 2025
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:48 reviews, 111 PRs, 34 pushes in 1 year 8 months
Contributions summary:Elisha's contributions centered around improving the project's infrastructure and deployment process, as well as enhancing web scraping functionality. The user added Chrome and Chrome-driver to the Dockerfile, fixed bugs and improved the Dockerfile. The user also integrated Document Loaders and worked on the multi-agents functionality by addressing conflicts. This work indicates a focus on improving the robustness, maintainability, and features of the project.
agentaiautomationllmsopenai
ElishaKay/MySideHussle
Sep 2019 - Dec 2019
Social Network to discuss Side Hussles
Contributions:69 commits, 8 PRs, 5 pushes in 2 months
social-networkdiscuss
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