Cagri Tanriover
Portland, OR
linkedin.com/in/cagritanriover | https://dr-cagri-tanriover.github.io
Summary
Research and development engineer (20+ years) who turns complex ideas into working systems | shipped code to 600+
devices | filed 26 patents | mentored 400+ engineers | advised companies in Europe | co-founded a startup.
Skills & Tools
Tools: Python, NumPy, pandas, scikit-learn, C, C++, Git, GitHub, mmWave radar, Wi-Fi, RFID, DSP.
Capabilities: dataset creation and management, project management, feature engineering, experiment design, managing
field deployments, clear documentation, stakeholder management, hiring and interviews.
Work Experience
INTEL | Hillsboro, OR | Sep 2016 - Dec 2025
Staff AI Research Engineer and Scientist - Wireless Sensing | Feb 2019 - Dec 2025
• Advised management on wireless research strategy through gap analysis and delivered presentations to internal business
executives and external partners (e.g., Dell, Lenovo, HP), to align with product management strategy.
• Screened 20+ and interviewed 10+ candidates; contributed to team growth and strengthened team building capabilities.
• Managed 2 EU Horizon and 2 university research projects; ensured successful project delivery, clear documentation and
alignment with product delivery goals.
• Accelerated downstream ML to support Intel business unit engagements with external customers by creating Intel's
largest RFID dataset (1,000 tagged items) and radar gesture set (600 labeled instances).
• Removed 3D-camera dependency, saving $300 per unit, by deploying a deep-learning CV pipeline (Python).
• Cut training-data needs by 30% via sparse point-cloud selection in Point Transformer networks, with no accuracy loss.
• Co-authored 7 publications and 4 patents in wireless sensing.
• Mentored 400+ Intel engineers via a new patent training program; reviewed 1,700+ disclosures to strengthen IP strategy.
• Received top-tier inventor recognition (26 patents and multiple awards).
Staff Research Engineer and Scientist - Human Activity Recognition | Sep 2016 - Jan 2019
• Advised management on research strategies in personalized learning and autonomous in-cabin passenger experiences.
• Received the Division Recognition Award for system deployment and tooling in two classrooms to enhance student and
teacher experience.
• Designed and implemented pseudo-autonomous car experiments; engineered 500 GB of real-time road data to support
ML research; led cross-functional teams.
• Led a laptop-frustration study; collected 1 TB of in-the-wild audio-visual data (30 users) and secured pilot approval with
findings.
• Co-authored 6 publications and 10 patents in human activity recognition and UX.
INTEL | Istanbul, Turkey | Aug 2014 - Aug 2016
Senior Embedded Systems Engineer - Wearables
• Led technical engagements with 25 project partners (EzraTuba, Osteoid, DeFacto, etc.); created wearable prototypes and
designs as proof of concept.
• Established and fully equipped the Intel Ignition Lab as a collaborative experimentation space for all project partners;
nurtured teamwork through technical leadership.
• Created the first Intel Edison breakout board for all wearable projects as part of strategic technical roadmap.
• Engineered the interactive Butterfly Dress - featured among Intel's top 10 innovations (2016) and in Intel Brand Book;
partnered with marketing on multi-geo live demos.
• Developed a smart wearable to monitor spasticity in cerebral palsy patients in 3 months, demonstrating rapid execution
from concept to prototype.
EARLIER EXPERIENCE (SELECTED)
Co-founder and Solution Architect (startup) and prior engineering roles in Europe, developed a product from ground up
(WhizTrack), customer engagements, presentations to potential investors, team leadership, standards work, shipped
security features on 600 handsets. Full details are available on request.
Education
PhD, Lancaster University, United Kingdom | Oct 1998 - Feb 2002
MSc, Lancaster University, United Kingdom | Oct 1997 - May 1998
BSc, Istanbul Technical University (ITU), Turkey | Oct 1993 - Jun 1997