About Elif Albuz

Experienced leader in building and driving teams to deliver high quality innovative solutions ranging from Virtual Reality to Autonomous driving. Shipped Oculus...

Elif Albuz's Work History
Company

Sr. Director of Software Engineering

Cerebras Systems
Feb 2024 - Present
No description available.
Company

VP of Software

Perceive
Jul 2021 - Feb 2024
Machine Learning Platform to enable intelligent sensing.
Company

Engineering Manager

Facebook
Nov 2016 - Jul 2021
* Lead Face Tracking enabling AR masks and try-ons across Instagram, Messenger, FB camera reaching billions of people; avatar machine learning solutions that ship on our Oculus platforms, Workrooms. Initiatives across AR/VR to evolve and productize facial animation, synthetic faces, body tracking capabilities in partnership with FRL-Research, FAIR, Workrooms, Avatars Product teams, Messenger, Instagram, and Oculus Hardware.
Company

Engineering Manager & Architect, Computer Vision

Nvidia
Nov 2011 - Nov 2016
* Lead Autonomous Driving Tracking team delivering keynote demos, technology showcases and software solutions * Architected, defined and shipped VisionWorks CUDA library with a team spread across the world. VisionWorks is designed to enable autonomous cars, drones, and other embedded systems and is the first library fully supported OpenVX. Developed and shipped Structure From Motion (SFM), Stereo Depth Extraction and Object Tracking built on VisionWorks (gave various talks at Embedded Vision Alliance, SIGGRAPH and GTC Conference) * Driven architecture benchmarking of CV solutions across the industry to define future GPU architectures * Lead to key business wins through vehicle and pedestrian detection technology, structure from motion, accelerated SLAM primitives, supported key customers including Tesla, Audi, BMW, Baidu, Google with Computer Vision Libraries (VisionWorks, OpenCV4Tegra, OpenCV with GPUs) and GPU architecture and optimizations. * Delivered innovative computational camera features on Tegra platforms from Panoramic stitching, HDR, Video stabilization, Face Detection, Tap-to-track any object autofocus features delivering significant performance scalability over the alternatives. * Drove OpenCV4Tegra and OpenCV on GPU for over 6 years, contributing NEON optimizations, soft cascades face detection and other GPU acceleration solutions back to open source * Initiated very first synthetic data driven autonomous car testing for full system computer vision/machine learning pipeline
Company

CUDA FFT Library Lead

Nvidia
Feb 2010 - Nov 2011
- Defined and delivered CUDA FFT libraries, supporting key customers including Matlab and Oil & Gas industries - Taught 3-day CUDA training workshop in ITU Supercomputing Center, Istanbul. - Implemented and shipped more accurate, better batching schemes and higher performance for key transform sizes, Bluestein for larger prime transform sizes, and built and extensive automated test framework for robustness. - Designed multi-GPU distributed FFT software architecture using Peer-to-peer and MPI.
Company

Video Software Lead

Nvidia
Feb 2009 - Feb 2010
- Design and development of encoder/decoder hardware modules. Designed motion adaptive quantization block architecture for encoder. Implemented reference picture buffer management implementation for H264 encoder. - Implemented low-level software for decryption of audio/video signals.
Company

Video Software Architect

Pixel8 Networks
Dec 2008 - Feb 2009
- Implemented h.264 reference decoder (incomplete) - Design of interfaces and specifications for GPU based transcoder system targeted for mobile devices.
Company

Video Software Engineer

Nvidia
Aug 2004 - Dec 2008
- Designed a block based Motion Estimation algorithm and implemented the algorithm and its applications on CUDA. - Architected error resiliency and recovery Cmodel. Guided hardware team in implementing this design. - Designed and implemented error recovery and resiliency schemes for Video Processing unit. With this scheme, concurrent engines synchronize and recover from bitstream errors and/or deadlocks. - Implemented MPEG2 and H.264 codec real-time programming on the video hardware core. - Designed and implemented inverse transform and scaling, and weighted prediction on second generation SIMD architecture (involved SIMD assembly/intrinsic programming, macroplayer assembly, Tensilica core C programming). Maintained and optimized h.264 decoder.
Company

Project Lead & Senior Firmware Engineer

Sony Electronics
Jan 1999 - Jan 2004
*Received SONY Outstanding Achievement Award in 2002. - Designed and implemented H.264 codec on Equator’s VLIW architecture. - Lead a team of 6 people in designing and implementing firmware for DVD-MPEG decoder chip * Implemented support for DVD-VR (video recording) format, Extended Data Services (XDS) * Worked as a team leader in a team of 5 people in specifying, designing and implementing E-STD support for Sony DVD recorders. As a team, successfully brought the product from specifications to the production level on time while carrying continuous communication with the internal customer in Japan. - Implementation and hardware verification of Audio State Machine and Sub-picture control, DVD-Audio format Audio-Still-Video (ASV) download and playback, and audio playback control - Implemented messaging and “partial” thread task switching in nanoOS real-time kernel. Designed and implemented a test suite to verify the functionality of the features.
Elif Albuz's Current Work Details
Elif Albuz's Location
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          <div class=San Jose, California, United States
Elif Albuz's Expertise
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Experienced leader in building and driving teams to deliver high quality innovative solutions ranging from Virtual Reality to Autonomous driving. Shipped Oculus Lip Synch, NVIDIA VisionWorks Library, OpenCV4Tegra, CUDA FFT, NVIDIA and Sony Electronics PlayStation and DVD Codec solutions. Built and drove teams to deliver technologies involving Computer Vision optimization on GPU, NEON, AVX, object detection and tracking, ML speech animation, Stereo depth extraction, Structure From Motion, Video stabilization, Face detection) with focus on CVML SW architecture design, multi-system and vector optimization, algorithm development, competitive benchmarking, and HW/SW co-design. Looking for Machine Learning and Computer Vision experts to design and deliver next generation virtual and augmented reality platforms.
star
Engineering Leadership at Cerebras | ex-Meta | ex-NVIDIA
Elif Albuz's Current Industry
bag
Cerebras Systems
Elif Albuz's Prior Industry
bag
Sony Electronics | Nvidia | Pixel8 Networks | Facebook | Perceive | Cerebras Systems
Elif Albuz's Education
Education

University of Delaware

University of Delaware Ms , Electrical Engineering
Education

Bosphorus University

Bosphorus University Bachelor's , Electrical Engineering, System Control And Robotics
Education

Boğaziçi Üniversitesi / Bogazici University

Boğaziçi Üniversitesi / Bogazici University Computer Science (Double Major) , Artificial Intelligence And Robotics

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