Palash Parmar

Applied Scientist II at Amazon

Role
Applied Scientist at Amazon
Location
Seattle, WA, US
LinkedIn followers
500 followers

About Palash Parmar

Software Engineer, Computer Vision and Deep Learning engineer with 4+ years of solid research experience in object detection and recognition, action recognition, real-time object tracking algorithms and development of computational libraries. Demonstrated excellent defect detection algorithm development for Amazon retail. Devised state-of-the-art vision algorithm for Amazon Go. Demonstrated efficient parallel application development skills by speeding-up CRAY’s distributed deep learning & big data libraries by eightfold. Boosted DRDO’s object tracker’s accuracy by 25%. An enthusiastic team player and deep creative thinker.

Experience

  1. Applied Scientist

    Amazon

    Aug 2019 — Present · Seattle, WA, US

Education

  • Texas A&M University

    Master's in Computer Engineering

    2017 — 2019

  • Indian Institute of Technology (Banaras Hindu University), Varanasi

    Bachelor of Technology (B.Tech.)

    2011 — 2015

Skills

  • Data Structures
  • Vhdl
  • Tenserflow
  • C
  • Programming
  • Ruby
  • Machine Learning
  • Artificial Intelligence
  • Pycharm
  • C++
  • Keras
  • Software Development
  • Python
  • Ruby on Rails
  • Power System Optimizations
  • Algorithms
  • Power System Operations
  • Cuda
  • Opencv
  • Html
  • Visual Basic
  • Computer Vision
  • Data Analysis
  • Matlab
  • Visual Studio

Find verified contacts for anyone on LinkedIn

Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.

Free plan included · No credit card required

This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.

Palash Parmar — Applied Scientist at Amazon in Seattle, WA, US | Unifers