Ali Kashefian
Founder at Menlo College
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAli Kashefian is a founder and software engineer with 11 years of experience building scalable full‑stack and ML systems, currently leading a conversational AI mental health startup in Sunnyvale. He has led core infra and product initiatives at Linktree and Google—founding Firebase Performance Monitoring and building large‑scale real‑time pipelines—and has hands‑on expertise in web UIs, cloud architecture, and model training/inference pipelines. His background uniquely combines micro/nano fabrication PhD research and cleanroom experience with production software engineering, giving him deep domain knowledge in simulation, instrumentation, and data visualization. An active contributor to performance engineering in the widely used firebase-js-sdk, he focuses on reliability and accurate telemetry for high‑throughput systems. He also teaches AI and analytics as adjunct faculty, blending applied research, product leadership, and mentoring in his work.
11 years of coding experience
17 years of employment as a software developer
Bachelor of Science (BS), Electrical Engineering, Bachelor of Science (BS), Electrical Engineering at Shiraz UniversityMaster of Software Systems, Computer Software Engineering, Master of Software Systems, Computer Software Engineering at The University of British ColumbiaMaster of Science (MS), Electrical Engineering- Nanoelectronic devices, Master of Science (MS), Electrical Engineering- Nanoelectronic devices at Sharif University of Technology
Github Skills (8)
javascript10
performance-monitoring10
performance-optimization10
firebase10
typescript-types9
testing9
typescript9
typescripts9
Programming languages (3)
Github contributions (5)
firebase/firebase-js-sdk
May 2019 - Mar 2021
Firebase Javascript SDK
Role in this project:
Performance Engineer
Performance EngineerContributions:24 reviews, 22 commits, 9 PRs in 1 year 10 months
Contributions summary:Ali primarily contributed to the performance-related aspects of the Firebase JavaScript SDK, focusing on optimizing and improving the SDK's performance monitoring capabilities. Their commits include fixes related to initializing performance features, such as conditional initialization based on API availability and correct handling of errors in performance metrics. Additionally, the user made changes to enhance the accuracy and reliability of performance data collection and reporting, particularly within the performance monitoring service and metric collection.
firebase-databasefirebase-functionsfirebase-dbreal-timefirebase-admin
alikn/project530
Mar 2015 - Feb 2020
Contributions:18 pushes, 1 branch, 42 comments in 4 years 11 months
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