Akshay Raghavendra
AI Systems
- Role
- Technology Leader Video Systems & Architecture at Apple
- Location
- Palo Alto, CA, US
- LinkedIn followers
- 500 followers
About Akshay Raghavendra
Shaping the architecture of intelligent systems — where AI reasoning meets real-world complexity.The work spans deep learning, model evaluation, large-scale AI infrastructure, and real-time media — with one consistent thread: translating scientific insight into system-level decisions that hold under real-world constraints.That frontier is where I\'m pointed — building systems that perceive, reason, and act, reliably, in the physical world.
Experience
Technology Leader Video Systems & Architecture
Nov 2020 — Present · Cupertino, CA, US
Orchestrated cross-functional strategy across Silicon, Firmware, OS, and Platform Architecture to define the roadmap for ProRes-based media compute systems across Apple platforms.• Established architectural boundaries and invariants across silicon, firmware, and OS media frameworks, preventing fragmentation across device platforms.• Shaped long-term encode and media-compute strategy by introducing statistical and architectural constraints into hardware pipelines.• Defined system-level correctness and quality frameworks that enabled reliable evolution across formats, resolutions, and performance envelopes.• Reset integration assumptions across simulation and validation environments, materially improving early platform alignment across teams.
Education
The Frank Anthony Public School, Bangalore
ICSE + ISC
1986 — 2000
University of Arizona
MS, Electrical and Computer Engineering (Applied Mathematics and Signal Processing)
2006 — 2008
RV College Of Engineering
BE, Electronics and Communication
2000 — 2004
Skills
- Dsp
- Digital Signal Processors
- Object Oriented Analysis and Design
- Image/Data Compression
- Openssl
- Operating Systems
- C++
- Keras
- Matlab
- Debugging
- Image Processing
- Deep Learning
- Device Drivers
- Windows Display Driver Model
- Video Processing
- C
- Software Development
- Python
- Machine Learning
- Computer Vision
- Tensorflow
- Cryptography
- Algorithms
- Convolution Neural Networks
- Linux
- Statistics and Information Theory
- Windows User/Kernel Mode Graphics Drivers
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