AVS Prasad

AVS Prasad

Software Engineer

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location of AVS PrasadHyderabad, Telangana, India

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  • Timeline

  • About me

    Senior Staff Engineer/Mgr @ Qualcomm | Leading Camera Firmware Team

  • Education

    • PGP-AIML-Online program

      2022 - 2023
    • MVSR Engineering College

      1999 - 2003
      BE ECE
    • Indian Institute of Technology, Kanpur

      2003 - 2005
      M.Tech Signal Processing
  • Experience

    • NVIDIA

      Aug 2005 - Mar 2008
      Software Engineer

      Porting and optimization of Audio Codecs on Nvidia Tegra processor, exposure to SIMD optimization for AMR, AAC, MP3, SBC codecs.

    • Qualcomm

      Apr 2008 - Nov 2015

      Video decoders porting and optimization on Qualcomm Hexagon Processors.design/code and maintenance of video firmware that controls video hardware accelerator on QC snapdragon processors.My role involves design/develop SW/FW for wide range of video decoders/encoders and commercialization. MIDI and Audio PostProcessing on QCOM DSP processor, optimizing audio processing modules/algorithms on hexagon processor

      • Sr. Lead Engineer

        Sept 2012 - Nov 2015
      • Sr. Engineer

        Apr 2008 - Sept 2012
    • Qualcomm India

      Nov 2015 - Dec 2020
      Staff Engineer

      Camera processing firmware engineer. Role includes programming camera processing HW blocks, managing/developing multi-threaded firmware code controlling HW, pre-silicon validation of camera hardware, bring-up and commercialization of these modules with OEMs.

    • Qualcomm

      Dec 2020 - now
      Senior Staff Engineer/Mgr

      Lead camera firmware team of 10+ members to develop FW for next generation of Qualcomm camera HW for mobile/IOT/XR/Auto chipsets. Have grown the team from 3 members to 10 member team, actively lead the efforts to hire the talent and groom the team to achieve technical competency in order to manage some of the products.Optimize firmware to meet the latency and through put requirement of the products.Participate in camera architecture discussions to bring in improvements to architecture of the camera pipeline and controller processor to meet quality/performance aspects.Experience include contribution to camera architecture, performance evaluation, commercialization of the solutions. Exposure to complete life cycle of chipset from architecture to commercialization. Led the team to meet MISRA compliance and ISO 26262 standards that are mandatory for Automotive softwares. Show less

  • Licenses & Certifications

    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Coursera
      Jan 2020
      View certificate certificate
    • Neural Networks and Deep Learning

      Coursera
      Jan 2020
      View certificate certificate
    • Structuring Machine Learning Projects

      Coursera
      Jan 2020
      View certificate certificate