Umesh Pandey
Full stack Embedded S/w Engineer for edge ML/DL, image, video applications
- Role
- Sr Principal Engineer at Cadence
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
About Umesh Pandey
Specialties: Video Compression, Embedded systems, Computer Architecture, video codecs,multi-threaded DSP,Fixed-point arithmetic, NEON assembly, Linux / QNX kernel driver, Android video userspace and HAL (Hardware Abstraction Layer), ML implementation on edge devices,Tensorflow/Pytorch.Around 17 years of experience in the field of DSP, fixed-point arithmetic and in the area of video compression algorithms. Good hands-on experience in assembly/C/C++ coding, designing algorithm for video decoder/encoder, debugging on multi-processor (ARM-DSP) embedded platforms and programming for real-time and multi-threaded systems.4 US patents, 5 Rest-Of-World patents granted. 2 US patents pending.Currently working on Deep Learning on Tensilica DSPs.Interests: AR/VR, Video codecs, Linux, ML/Deep Learning applications to Image & Video
Experience
Sr Principal Engineer
Jul 2020 — Present · San Francisco, CA, US
openCV, Image Processing, Deep Learning networks on Tensilica IP(on-device AI)
Education
Indian Institute of Technology, Bombay
M.Tech
2005 — 2007
University of Mumbai
B.E.
2001 — 2005
Skills
- Firmware
- Mpeg-4
- C
- Programming
- Android
- Apache Spark
- Computer Architecture
- Arithmetic
- Linux
- Embedded C
- Debugging
- Typescript
- Assembly Language
- Javascript
- C++
- Device Drivers
- Codecs
- Algorithms
- Video Compression
- Rtos
- Digital Signal Processors
- Python
- Embedded Software
- H.264
- Multithreading
- Embedded Systems
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