Parichay Kapoor

Software Engineer

New York, New York, United States11 yrs 6 mos experience
Highly Stable

Key Highlights

  • Expert in Machine Learning and AI solutions.
  • Developed open-source ML training and processing frameworks.
  • Strong background in software development for low-powered devices.
Stackforce AI infers this person is a Machine Learning Engineer specializing in AI solutions for low-powered devices.

Contact

Skills

Core Skills

Machine LearningSoftware Development

Other Skills

Machine Learning FrameworksMachine Learning AlgorithmsMachine Learning ApplicationsTensor LibraryVision LibraryCJavaMatlabC++HTMLPythonAlgorithmsData StructuresLinuxProgramming

About

6 years of my experience at Samsung, various internships, and university education has given me knowledge and experience for a wide range of fields of computer science - Software Systems, Machine Learning, Computer Vision, Model Compression, Data Analysis, System Architecture, SIMD architectures, cached/non-cached architectures, DSP programming, Simulation and Algorithms. My Roles ‾‾‾‾‾‾‾‾‾‾‾‾‾ I currently work on empowering AI solutions for low-powered devices. This includes On-Device ML Training and Inference Frameworks and Libraries, Model Compression for Deep Learning Models, and various device specialized applications/libraries including Super-Resolution ML models for TV, robustness of NN models and frameworks/libraries on various DSPs.

Experience

Meta

3 roles

Senior Staff Software Engineer

Promoted

Feb 2026Present · 1 mo

Staff Software Engineer

Promoted

Sep 2023Feb 2026 · 2 yrs 5 mos

Senior Software Engineer

Mar 2022Sep 2023 · 1 yr 6 mos

Samsung electronics

3 roles

Software Engineer

Promoted

Mar 2017Mar 2022 · 5 yrs

  • Machine Learning Frameworks :
  • Developing NNTrainer - On-Device opensource ML training platform
  • Developed NNStreamer - Opensource stream processing paradigm for Machine Learning
  • Developed Kernel driver and user-service library for NPU
  • Machine Learning Algorithms :
  • Unified model compression framework for quantization, pruning, and low-rank approximation
  • Robustness of CNNs to adversarial attacks with high SNR
Machine Learning FrameworksMachine Learning AlgorithmsMachine LearningSoftware Development

Associate Software Engineer

Sep 2014Mar 2017 · 2 yrs 6 mos

  • Machine Learning Applications :
  • RNN based Super-Resolution Machine Learning Models for NPU
  • Tensor Library for SIMD based processors for S8 and future phones
  • Vision library and applications for non-cached DMA architectured DSP
Machine Learning ApplicationsTensor LibraryVision LibraryMachine LearningSoftware Development

Research Intern

May 2013Jul 2013 · 2 mos · Noida Area, India

  • Optimized multiple CPU governors on multi-core processor for TIZEN OS

Qualcomm

Summer Intern

May 2013Jul 2013 · 2 mos · Hyderabad Area, India

  • Designed sockets based logging mechanism for the Snapdragon SoC Wi-Fi module

Education

Indian Institute of Technology, Delhi

Bachelor of Technology (BTech) — Computer Science and Engineering

Jan 2010Jan 2014

Bhartiyam Vidya Niketan

Jan 2008Jan 2010

St. Paul's School

Jan 1998Jan 2008

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