Sachin Joglekar
Staff ML Engineer at Apple
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSachin Joglekar is a Staff ML Engineer with 13 years of experience building and optimizing on-device and cloud AI infrastructure for top-tier companies including Apple, Google, and Microsoft. He specializes in shrinking large models to run efficiently on mobile and edge hardware—bringing LLM and diffusion research into production on Apple Silicon and optimizing OpenAI models for Microsoft scenarios. A pragmatic technical leader, he designs scalable model lifecycle tooling, inference benchmarking, and caching systems while collaborating cross-functionally with product and client teams. Sachin is also an active open-source contributor, having improved SymPy’s vector testing and enhanced Microsoft’s autogen backend with better caching and pydantic/mypy fixes—showing a penchant for reliability and developer ergonomics. Based in Mountain View, he pairs deep systems and ML engineering skills with hands-on execution to deliver deployable AI at scale.
13 years of coding experience
12 years of employment as a software developer
Bachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at BITS Pilani-GoaPTVEMS
Stackoverflow
31reputation
3kreached
0answers
2questions
Github Skills (22)
unit-testing10
python10
agentic10
testing10
autogen10
llm10
pydantic10
test-automation10
caching9
openai9
web-framework8
app-framework8
mypy8
application-framework8
xml6
Programming languages (7)
Github contributions (5)
sympy/sympy
Oct 2012 - Nov 2015
A computer algebra system written in pure Python
Role in this project:
Test Automation Engineer
Test Automation EngineerContributions:258 commits, 2 PRs, 49 comments in 3 years 1 month
Contributions summary:Sachin primarily contributed to the project by adding and modifying tests, particularly within the `sympy/vector` directory. The commits focused on adding tests to increase code coverage, covering new features and correcting existing code. The contributions involved testing various vector and dyadic operations and functions, including the Del operator and its product rules, and the creation of several testing files for the project. The changes involved modification of the tests to ensure that the methods can be used in the intended way.
mathpythonsciencecomputer-algebra-systemalgebra
microsoft/autogen
Dec 2024 - Jan 2025
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
Role in this project:Backend Developer
Backend DeveloperContributions:7 reviews, 6 PRs, 23 comments in 1 month
Contributions summary:Sachin primarily focused on enhancing the backend functionality and maintainability of the `autogen` framework. Their contributions include fixing pydantic warnings, supporting custom models with the OpenAI client, and updating the pydantic version while addressing mypy errors. They also added a ChatCompletionCache along with AbstractStore, demonstrating a focus on optimizing and improving the caching mechanism within the system.
agenticagentic-agiagentsaiautogen
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