Saurabh Misra
Founder And CEO at Codeflash
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSaurabh 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
7 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Carnegie Mellon UniversityBachelor of Technology (B.Tech.), Electronics Engineering, Bachelor of Technology (B.Tech.), Electronics Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi
English, Hindi
Stackoverflow
94reputation
1kreached
3answers
4questions
Github Skills (23)
algorithm10
algorithms10
data-validation10
python10
data-structure10
agent10
performance-optimization10
data-structures10
pydantic10
main-memory9
json-schema9
llm9
large-language-models9
networkx9
generative-ai8
Programming languages (10)
Github contributions (5)
mem0ai/mem0
Feb 2024 - Jul 2025
Universal memory layer for AI Agents
Role in this project:
Performance Engineer
Performance EngineerContributions:12 PRs, 2 comments in 1 year 5 months
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.
ai-agentaichatgptllmpython
langflow-ai/langflow
Dec 2024 - Aug 2025
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Role in this project:Backend Developer
Backend DeveloperContributions:9 reviews, 13 PRs, 15 comments in 8 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.
aireact-flowchatgptlarge-language-modelsgenerative-ai
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