Mayuresh Agashe
Software Engineer at Google
Los Angeles, California, India
Summary
🤩
Rockstar🎓
Top SchoolMayuresh Agashe is a software engineer with five years of experience specializing in applied AI, machine learning engineering, and microservice architectures, currently building AgentSpace and Vertex AI Search at Google. He has hands-on experience creating developer-facing tooling—authoring a Python client SDK for Gemini and producing extensive tutorials and notebooks to accelerate LLM adoption. His open-source contributions span TensorFlow, JAX and Keras, and he notably improved medical image segmentation performance and latency during a Google Summer of Code project. He also bridges ML research and production: optimizing Vision Transformers in Flax, deploying IoT-enabled MLOps for agritech that increased crop yields, and designing graph/NLP solutions for retail analytics. Based in Los Angeles with roots in India, he combines deep technical craft with developer advocacy to make complex AI capabilities accessible and scalable.
5 years of coding experience
1 year of employment as a software developer
B.Tech in Computer Science and Engineering Artificial Intelligence & Machine Learning, B.Tech in Computer Science and Engineering Artificial Intelligence & Machine Learning at Vellore Institute of Technology
English, Marathi, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (64)
python10
machine-learning10
maths10
leaderboard10
deep-learning10
tensorflow10
google10
neural-network10
gemini10
points10
chatbot10
data-science9
dedicated9
ml9
llm9
Programming languages (7)
Github contributions (5)
Heritians/UBA-FORM-API
Sep 2022 - Dec 2022
Connecting Villages API serves as middleware for the frontend website and visualization dashboard.
Contributions:2 releases, 18 reviews, 102 commits in 2 months
apipython-backendvillagesjavascriptserves
mayureshagashe2105/generative-ai-python
Jan 2024 - Jul 2024
The Google AI Python SDK enables developers to use Google's state-of-the-art generative AI models (like Gemini and PaLM) to build AI-powered features and applications.
Contributions:7 PRs, 114 pushes, 28 branches in 5 months
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