Burak Aksar

Co-Founder And Software Engineer at Spiky.ai

San Francisco Bay Area United States
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Summary

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Senior
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Burak Aksar is a Co-Founder and software engineer with eight years of experience building AI-driven B2B SaaS, currently leading product and engineering at Spiky.ai to deliver real-time revenue intelligence and automated coaching for revenue teams. He blends deep academic roots—a PhD in Computer Engineering from Boston University and research in explainable ML and HPC—with hands-on production experience at Sandia and IBM, including two patents and deploying large-scale ML pipelines. Known for a fast, experimental approach to shipping, Burak connects technical rigor with practical revenue outcomes, integrating CRM sync, automated playbooks, and meeting-derived insights. He mentors early-stage AI founders through Techstars and contributes to revenue and enablement communities, revealing a rare mix of researcher-level ML expertise and operator-first startup grit. An unexpected strength: he routinely translates complex multivariate time-series explainability research into applied features that inform day-to-day sales coaching and deal execution.
code9 years of coding experience
job1 year of employment as a software developer
bookBachelor’s Degree Electronics Engineering, Bachelor’s Degree Electronics Engineering at Sabanci University
bookHigh School Mathematics and Physics, High School Mathematics and Physics at Halil Kale Science High School
bookDoctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Boston University
languagesEnglish, Spanish
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Github Skills (12)

multivariate-timeseries10
anomaly-detection5
lockscreen5
smartphone5
unlock5
usrp4
hpc3
xiaomi3
android-app2
mesh1
amr1
refinement1

Programming languages (5)

CSSCJavaScriptJupyter NotebookPython

Github contributions (5)

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peaclab/CoMTE

Dec 2020 - Apr 2022

Counterfactual Explanations for Multivariate Time Series Data
Contributions:24 commits, 2 PRs, 2 pushes in 1 year 4 months
multivariate-timeseries
peaclab/E2EWatch

Nov 2021 - May 2023

E2EWatch: An End-to-end Anomaly Diagnosis Framework for Production HPC Systems
Contributions:4 PRs, 9 pushes, 3 branches in 1 year 7 months
hpc
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