Amir Mehr
Founder And Rubber-Duck at The Synthesis Company
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAmir Mehr is a founder and seasoned software engineer with 12 years of experience building full-stack systems and AI infrastructure from startups to YC-backed ventures in San Francisco. He specializes in tools for systematic reviews and language-model pipelines, contributing core integration tests to Stanford NLP’s DSPy framework that optimize prompt and model workflows. As founder of The Synthesis Company and former technical lead at multiple startups, he blends hands-on engineering with product-minded leadership, shipping robust infra and user-facing features. Known for pragmatic automation and test-first quality, he also brings a research-informed perspective from an MS in Computer Science. Off-hours he describes himself as a “happy thin one,” suggesting a focused, low-friction work style that avoids too much coffee or pizza.
12 years of coding experience
8 years of employment as a software developer
S24, S24 at Y Combinatordiploma Mathematics, diploma Mathematics at Shahid Soltani (NODET)Bachelor of Applied Science (B.A.Sc.) Computer Science, Bachelor of Applied Science (B.A.Sc.) Computer Science at Shahid Beheshti UniversityMaster of Science - MS Computer Science Business, Master of Science - MS Computer Science Business at University of Calgary
Stackoverflow
15reputation
848reached
0answers
2questions
Github Skills (7)
dnspy10
pytest10
python10
test-automation10
integration-testing10
elasticsearch6
r6
Programming languages (5)
Github contributions (5)
stanfordnlp/dspy
Feb 2024 - Dec 2024
DSPy: The framework for programming—not prompting—language models
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:33 reviews, 14 PRs, 113 pushes in 9 months
Contributions summary:Amir's primary contributions focused on integrating and expanding the testing framework within the DSPy project. They added integration tests, specifically around the introduction workflow, RAG model compilation, and Baleen model. The commits reveal modifications to the base test class, setup fixtures and assertion methods. They set up the environment for integration tests, including the necessary cache directory.
nlpbertknowledgepredictlanguage-models
ammirsm/ammirsm.github.io
Jan 2014 - Jun 2016
Contributions:18 commits, 5 pushes in 2 years 5 months
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