Ali Salimli
Baku City, Baku Ekonomic Zone, Azerbaijan
Summary
🤩
Rockstar🎓
Top SchoolAli Salimli is a software engineer from Baku with six years of hands-on experience building scalable back-end systems and AI/ML tooling, including core contributions to the YC-backed Superagent project. As a core maintainer of Superagent’s open-source repo (5k+ stars) he implemented workflow invocation and streaming features, and ranked as the project’s second-highest committer. He designed ML algorithms for document clustering, labeling, and summarization that cut processing time by 75% and costs by 50%, and helped ship integrations like Superagent for Airtable used by thousands. Comfortable operating at the intersection of production engineering and research, he regularly contributes to other high-profile open-source projects such as Prefect and LiteLLM. Based in Azerbaijan and trained in computer engineering, he combines pragmatic system design with a taste for innovative AI-driven solutions.
6 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Azerbaijan State University of Economics • UNECHigh School Diploma, 4.8/5, High School Diploma, 4.8/5 at Hacıqabul şəhər İ.Ələkbərov adına 1 nömrəli tam orta məktəb
English, Azerbaijani, Turkish
Github Skills (9)
asynchronous10
fastapi10
ai-agent10
python10
async10
llm9
apidoc9
generative-ai9
api9
Programming languages (6)
Github contributions (5)
superagent-ai/superagent
Dec 2023 - Jun 2024
Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:29 reviews, 196 PRs, 311 pushes in 6 months
Contributions summary:Ali primarily focused on implementing features related to the workflow invoke endpoint, adding streaming capabilities for workflows. Their work involved modifications to the backend code, specifically in the `workflows.py` and `base.py` files, indicating a focus on the core functionality of the AI agent execution. The user also fixed code formatting and addressed issues with function calls, improving the overall functionality and maintainability of the workflow execution process.
aiprompt-injectionllmanthropicopenai
alisalim17/plant-app
Jul 2021 - Aug 2021
Contributions:17 commits, 15 pushes, 1 branch in 1 month
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.