Ilia Ovsiannikov, Ph.D.

Email: ilya at ovsy dot com

Location: California

LinkedIn | Google Scholar

Summary

Experienced leader specializing in deep learning accelerator hardware and imaging sensors including 3D, LiDAR, and color technologies. Previously architected Samsung's neural inference hardware for smartphones. Designed SoC imaging sensors deployed in leading smartphones (1B+ units sold). Extensive background spanning hardware, software, ASIC design, deep learning, imaging, cloud, and mobile development. Holds 66+ granted patents.

Professional Experience

Remake.ai

8/2025–Present

Founder

Apps for robots - home vacuums, quadrupeds, drones, humanoids, etc. Think Apple remaking ordinary phones into smartphones with apps & app store - only for robots. Your Roomba can do more than clean. Your drone or robot dog can do more than be manually remote-controlled. Imagine developers selling creative robot apps, AI agents turning ordinary robots into extraordinary helpers, companions for billions of consumers.

Maker's Pet

4/2020–7/2025

Founder

Navigation-capable robot kits

Samsung Semiconductor Inc., San Jose & Pasadena

12/2008–4/2020

Vice President - Advanced Systems Lab

  • Architected second-generation deep learning neural inference accelerator for smartphones and autonomous vehicles
  • Delivered multiple advanced technology generations for deep learning and machine learning applications
  • Developed neural inference hardware architecture, network optimization, and mobile/automotive applications
  • Led CMOS image sensor research across multiple sensor types: LiDAR, 3D structured light, time-of-flight, RGBZ, DVS, and stacked sensors
  • Created comprehensive image processing pipelines and prototype cameras

MagnaChip Semiconductor, Inc., Sunnyvale

2008

VP of Imaging Solutions

Directed design and R&D for CMOS SoC image sensors, overseeing digital design, ISP algorithms, firmware, physical implementation, and verification. Successfully delivered 1.3MP, 2MP, 3MP, and VGA sensor products.

Micron Imaging, Pasadena

2005–2008

R&D Manager and Architect (formerly Aptina, now On Semiconductor)

Led firmware and hardware engineering teams. Developed critical camera processing functions including demosaic, noise reduction, defect correction, sharpening, auto-exposure, auto-focus, and anti-shake features. Notable products: MT9S311, MT9T111D00STC, MT9P111.

Arecont Vision, Alta Dena

2005

Vice President of Engineering

Designed high-resolution IP cameras with day/night capability. Completed product design for yield, FCC, CE, and safety compliance.

Micron Imaging, Pasadena

2002–2005

Senior System Architect, Design Lead, Project Manager

Architected and delivered high-volume camera-on-chip SOC products (2M and VGA). Directed design of complete processing pipelines from raw Bayer to JPEG. Managed teams across multiple mask revisions and customer support. Notable products: MT9D111D00STC, MT9V111D00STC.

Rockwell Scientific, Camarillo

2000–2002

Research Scientist

Specialized in CMOS imaging sensor digital and mixed-signal design. Designed timing blocks, readout registers, and test chips. Delivered board-level camera design and characterization systems.

Photobit, Pasadena

1999–2000

Research Scientist

Developed characterization tools and experimental simulations for CMOS imagers. Created comprehensive software and hardware for image acquisition, analysis, and digital still camera processing. Co-authored DoD and NASA SBIR reports.

Xerox, El Segundo

1998

Intern - Infrastructure Service R&D

Java/JDK software development

University of Southern California

1995–1999

Research Assistant, Project Lead

Led Annotator Project—a state-of-the-art online annotation system. Secured two-year grant from Fuji-Xerox Palo Alto Research Labs. Published four papers.

Education

Technical Skills

AI & Machine Learning

  • AI/LLM agents and coding
  • Deep neural networks
  • Object recognition, RNN, GAN
  • Reinforcement learning
  • Classical ML (SVM, boosting)

Deep Learning Frameworks

  • TensorFlow, Keras
  • TensorFlow Lite
  • NVIDIA CUDA, cuDNN
  • Berkeley Caffe
  • OpenCV, OpenGL, OpenMP

Hardware & ASIC Design

  • Cadence Encounter
  • Synopsys Design Compiler
  • Analog/mixed-signal simulation
  • Verilog, VHDL
  • Memory design

Embedded Systems

  • ARM, NEON, x86 assembly
  • USB 2.0/3.0 design
  • Cypress FX3 firmware
  • TI Code Composer Studio

Mobile Development

  • Android app development
  • Android Studio

Web Development

  • JavaScript, TypeScript
  • Angular, Node.js
  • MEAN stack, Firebase
  • AWS, GCP, DigitalOcean

Robotics & ADAS

  • ROS, ROS v2
  • SLAM, Kalman filters
  • Raspberry Pi, Arduino
  • SolidWorks, AutoCAD

Image Processing

  • Color processing algorithms
  • Super-resolution
  • Demosaic, denoising
  • Dynamic range optimization

Patents & Publications

70+ granted patents in areas including deep learning hardware, image sensors, camera processing, and neural network optimization.

20+ publications in computer science, imaging, and machine learning.

Media Coverage

Press mentions and interviews include coverage of: