Sachinda Edirisooriya
Machine Learning Engineer at Annapurna Labs
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolSachinda Edirisooriya is a machine learning engineer based in Seattle with six years of experience building practical systems that teach computers to solve complex problems. He has shipped production ML models for Amazon Music personalization and now focuses on accelerating LLM inference at Annapurna Labs, bringing both research rigor and production sensibility. His background spans research—including a state-of-the-art optical music recognition dataset and ISMIR publication—from hardware-adjacent software at SpaceX to chip-documentation tooling at NVIDIA, highlighting versatility across stack and domain. Sachinda favors simple, scalable designs that unlock sophisticated behavior, and has a track record of turning large datasets and infrastructure work into deployable features used by millions. An MS and BS in Computer Science from UC San Diego underpin his mix of academic results and hands-on product impact.
6 years of coding experience
4 years of employment as a software developer
Corona Del Sol High SchoolUniversity of California, San Diego
Github Skills (13)
connectors10
powerapps10
azure10
rest-api10
swagger10
api10
rest10
azure-logic-apps10
microsoft10
openapi10
powerautomate10
logic10
microsoft-azure9
Programming languages (3)
Github contributions (5)
thediris/PowerPlatformConnectors
May 2020 - Oct 2020
This is a repository for Microsoft Power Automate, Power Apps, and Azure Logic Apps connectors
Contributions:1 push, 2 branches in 4 months
logic-appsazure-logic-appsmicrosoft-power-automatepower-automatepower
thediris/azure-rest-api-specs
Aug 2020 - Aug 2020
The source for REST API specifications for Microsoft Azure.
Contributions:1 push, 1 branch in 1 day
apispecificationsrestmicrosoft-azuremicrosoft
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