Andriy Mulyar is a founder and CEO with nine years of machine learning and software engineering experience, currently building agentic systems to accelerate design and engineering in the built environment. He co-founded Nomic AI and previously served as CTO, blending research-grade interpretability work (NYU Courant PhD research) with product and platform engineering. His open-source contributions span front-end and back-end work for large-scale ML tooling—helping secure deepscatter’s billion-point visualizations and building Python clients and bindings for Nomic and GPT4All. Andriy combines hands-on systems design (auth, streaming APIs, CLI tooling) with a knack for making complex ML infrastructure accessible and explainable. Based in New York, he bridges academic rigor and startup execution, having shipped production ML features from medical NLP to transformer-based summarization. A less obvious strength is his full-stack fluency: he moves seamlessly between token-level API details and visualization/color aesthetic improvements that improve both security and user experience.
9 years of coding experience
6 years of employment as a software developer
Center for Information Technology, Center for Information Technology at Deep Run High School
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at New York University
Bachelor of Science - BS Mathematics and Computer Science, Bachelor of Science - BS Mathematics and Computer Science at Virginia Commonwealth University
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Role in this project:
Back-end Developer
Contributions:2 releases, 144 reviews, 197 commits in 6 months
Contributions summary:Andriy focused on the development and maintenance of the Nomic client, specifically the Atlas client. They implemented the core functionality for interacting with the Atlas API, including creating projects, adding embeddings, and creating/refreshing indices. Their contributions also include the implementation of a command-line interface for authentication and project management, indicating a focus on providing programmatic access to Nomic's services. These efforts helped build a foundational Python client to facilitate easier interaction with the Atlas platform.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Role in this project:
Full-stack Developer
Contributions:127 reviews, 180 PRs, 219 pushes in 1 year 10 months
Contributions summary:Andriy contributed significantly to the GPT4All project by focusing on the Python bindings and API development. They implemented new Python bindings, including chat session functionality and streaming support. Their work also involved improving the API by adding a health endpoint, and allowing Sentry integration, and fixing issues related to the top_p parameter. Additionally, the user made various code updates and version bumps.
ai-chatllm-inference
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