Sreenithi Sridharan is an inquisitive software engineer at Google with seven years of experience building AI-driven products and end-to-end ML solutions, holding a First Class B.Sc in Artificial Intelligence. She has shipped production features across healthcare and consumer-facing projects, from OCR and diagnosis extraction for medical reports to multi-modal emotion classifiers and voice-enabled kiosks. As a freelancer she maintained a 5-star rating delivering ML pipelines and cloud-integrated solutions, and contributed backend fixes and Python 3.13 support to the high-profile grpc project—demonstrating comfort with both application code and infrastructure/test automation. Her strengths lie in pragmatic model deployment, problem-solving and attention to detail, backed by hands-on work with PyTorch, scikit-learn, Azure ML and AWS APIs. She combines research-grade academic training with practical delivery experience and a knack for simplifying complex AI outputs for end users.
7 years of coding experience
4 years of employment as a software developer
CBSE High School, Computer Science, CBSE High School, Computer Science at GEMS Education
Bachelor of Science - BS, Artificial Intelligence, 4.0/4.0, Bachelor of Science - BS, Artificial Intelligence, 4.0/4.0 at Heriot-Watt University Dubai Campus
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
Role in this project:
Back-end Developer & Automation Engineer
Contributions:2 releases, 30 reviews, 24 PRs in 10 months
Contributions summary:Sreenithi primarily contributed to the Python gRPC library, fixing bugs related to type hints and metadata handling, specifically within the asyncio component. They also added support for Python 3.13, involving templating Python version files and generating Dockerfiles. Furthermore, the user addressed build and test infrastructure, by adjusting timeouts, and skipping a failing test.
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
Contributions:73 pushes, 23 branches in 7 months
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