Saurabh Misra
San Francisco, California, United States
Summary
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SeniorSaurabh Misra is a founder and machine learning engineer with eight years of experience building high-impact ML systems and developer tools, currently leading Codeflash to help engineers automatically write expert-level code. He has driven product and engineering efforts across startups and tech giants—from founding the customer care product line at Cresta to improving Instagram’s follow recommendations at Meta, where his modeling work increased DAU. A hands-on performance optimizer, Saurabh has contributed measurable speedups to major open-source projects like pydantic and Langflow and optimized core utilities in AI agent memory layers. His background spans deep learning research, GPU/CPU performance tooling at NVIDIA, and applied security ML from Carnegie Mellon, giving him rare breadth across systems, models, and production performance. Based in San Francisco, he combines startup leadership with practical OSS impact, often surfacing non-obvious bottlenecks to squeeze significant efficiency gains.
8 years of coding experience
Github Skills (16)
algorithm10
data-structures10
algorithms10
agent10
pydantic10
data-validation10
performance-optimization10
python10
data-structure10
llm9
large-language-models9
main-memory9
json-schema9
networkx9
generative-ai8
Programming languages (8)
Github contributions (5)
mem0ai/mem0
Feb 2024 - Mar 2025
The Memory layer for AI Agents
Role in this project:
Performance Engineer
Performance EngineerContributions:12 PRs, 2 comments in 1 year 1 month
Contributions summary:Saurabh focused on optimizing the performance of various functions and methods within the `embedchain` library. This included speeding up functions like `is_readable`, `get_word_count`, `_auto_encoder`, and `read_env_file`, resulting in significant performance improvements across different parts of the codebase. These optimizations target both core utilities and data loading operations. The user's contributions demonstrate a clear emphasis on enhancing efficiency.
agentaiaiagentapplicationchatbots
langflow-ai/langflow
Dec 2024 - Mar 2025
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Role in this project:Backend Developer
Backend DeveloperContributions:9 reviews, 11 PRs, 14 comments in 2 months
Contributions summary:Saurabh focused on optimizing various functions and methods within the `langflow` project, primarily related to graph processing and component execution. Their contributions involved improving the efficiency of critical code sections, as evidenced by significant speed improvements across several functions. Specifically, the user refined the `find_last_node`, `find_cycle_vertices`, `sort_chat_inputs_first`, `_eval_expr`, `_remove_control_characters`, `update_target_handle`, and `find_all_cycle_edges` functions to improve performance. These optimizations involved data structure choices, streamlining logic, and minimizing redundant operations within the code.
chatgptgenerative-ailarge-language-modelsreact-flow
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