Yaniv Ben-ami is a founder and applied AI engineer with 11 years of experience building voice-first agents that act on behalf of users within SaaS products. He specializes in integrating GPT Realtime 2 into product backends so users can speak naturally and have the system navigate interfaces, fill forms, and take actions via MCP tool calls—typically delivering a working integration in one week. Previously a Yale PhD economist and former hedge fund quant consultant, Yaniv combines rigorous quantitative modeling with hands-on systems and backend engineering (including graph DB tooling and an open-source voice infrastructure, Babel3). He founded community and product efforts around deep learning and voice coding agents, and his background in computational economics and biochemistry gives him an uncommon cross-disciplinary lens for building reliable, research-grounded AI features.
11 years of coding experience
7 years of employment as a software developer
Master of Arts - MA Economics, Master of Arts - MA Economics at Tel Aviv University
Doctor of Philosophy - PhD Economics, Doctor of Philosophy - PhD Economics at Yale University
Contributions summary:Yaniv's primary contribution was the creation of a Docker image to run a Jupyter Notebook. They also contributed to a GSQL file that defines the schema and loading jobs for a graph database. The code changes involve creating vertex and edge types, defining a graph, and specifying loading jobs for a social network benchmark dataset. The user demonstrated knowledge of GSQL and data loading processes.
Contributions:285 commits, 9 PRs, 279 pushes in 3 months
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