Aneesh M U

Senior Software Engineer

Hyderabad, Telangana, India11 yrs 7 mos experience
Highly Stable

Key Highlights

  • 12+ years in Embedded Vision systems design.
  • Expertise in FPGA and ASIC platforms.
  • Proven track record in image processing algorithms.
Stackforce AI infers this person is a specialist in Embedded Systems with a focus on Computer Vision and Hardware Design.

Contact

Skills

Core Skills

C++System ArchitectureHardware DesignComputer Science

Other Skills

Machine LearningElectrical EngineeringPython (Programming Language)SystemVerilogVerilogVHDLCFPGAImage ProcessingComputer VisionComputer EngineeringVLSIData StructuresProgrammingAlgorithms

About

12+ years of experience in designing Embedded Vision systems with FPGA MPSoC, ASIC platforms. Development for Image Processing Algorithms, Simulation and Verification. Algorithm analysis, modification to suit hardware implementation. Debugging using simulation and on-chip debug techniques.

Experience

Qualcomm

Senior Software Engineer

Sep 2023Present · 2 yrs 6 mos · Hyderabad, Telangana, India · On-site

Micron technology

Staff Software/RTL Design Engineer

Mar 2021Aug 2023 · 2 yrs 5 mos · Hyderabad, Telangana, India

C++System Architecture

Tonbo imaging

2 roles

FPGA Computer Vision Engineer

Apr 2019Feb 2021 · 1 yr 10 mos

  • Lead product development of company flagship products based on FPGA subsystems (TUVE)
  • Working to integrate different sensor modules to the FPGA based low power imaging platform and help in production scaling.
  • Designed automation scripts for camera calibration and testing for large scale production
Hardware DesignSystem Architecture

Member Of Technical Staff (FPGA Desgin)

Jul 2014Apr 2019 · 4 yrs 9 mos

  • Researched and developed row filter algorithm for vertical strip noise reduction specific to thermal imaging sensors, and successfully implemented in FPGA based imaging system.
  • Worked with industry partners to create and design platforms for imaging systems.
  • Developed testing platforms for production teams to validate the hardware.
  • Developed low power FPGA base platform (low SWaP-C –Size, Weight, Power, Cost) for a wide range of imaging products compatible with multiple sensors and display interfaces (capable of processing 120FPS VGA video) used in defense and industrial applications.
  • Architected, designed and implemented cooled thermal camera video processing pipeline on FPGA-SoC (Altera Cyclone V) based subsystem, which have been used in multiple flagship products of the company (COEL).
  • Designed, implemented and verified thermal video processing algorithms (NUC, AGC, Color Palette, etc.) and display protocols.
  • Integration and modification of MIPI-CSI and MIPI-DSI controller IP for sensor and display of Qualcomm’s Snapdragon thermal camera platform (Knight)
  • Performance modeling and analysis of Imaging systems using quantitative formal modeling and worst-case analysis to design and architect vision processing IPs to minimize latency and better utilize system resources in FPGA
Hardware DesignComputer Science

Education

International Institute of Information Technology Hyderabad (IIITH)

Master's degree — VLSI and Computer Engineering

Jan 2012Jan 2014

M. S. Ramaiah Institute of Technology

Bachelor of Engineering (B.E.) — Electronics and Communications Engineering

Jan 2008Jan 2012

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