Prateek Chhikara

San Francisco, California, United States
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Summary

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Rockstar
Prateek Chhikara is a Founding AI Engineer based in San Francisco with six years of experience building production ML systems and research-driven AI features. He leads memory-centric AI at Mem0 (YC S24), implementing a Neo4j-backed graph memory pipeline and contributing backend graph-memory integrations to the open mem0 repository. His USC research produced award-winning, memory-augmented RL and multimodal work with publications at K-Cap (Best Student Paper), NeurIPS and WACV, demonstrating an ability to turn novel ideas into validated prototypes. In industry roles he shipped perceptual systems such as a Siamese HDR matcher and a privacy-focused image censoring pipeline that delivered measurable gains. A top-ranked engineering graduate (9.64/10 BE), he bridges deep research and pragmatic engineering to improve AI context awareness and human productivity.
code7 years of coding experience
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Github Skills (13)

agents10
neo4j10
memory-management10
agent10
graph-database10
python10
ai10
graph-databases10
langchain10
llm10
openai9
embedding9
vector-database9

Programming languages (5)

JavaC++JavaScriptJupyter NotebookPython

Github contributions (5)

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mem0ai/mem0

Jun 2024 - Apr 2025

The Memory layer for AI Agents
Role in this project:
userBack-end Developer
Contributions:81 reviews, 92 PRs, 109 pushes in 9 months
Contributions summary:Prateek primarily contributed to the backend of the "mem0" repository, focusing on integrating and improving the graph memory functionalities. Their work involved integrating graph memory, enhancing the memory system, and addressing related bug fixes. The contributions included modifications to the `main_graph.py` file, implementing tools and functionality for adding, searching, and updating graph data within the memory system.
agentaiaiagentapplicationchatbots
Contributions:38 pushes, 1 branch in 2 years 8 months
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Prateek Chhikara