Piyush Tayal

Machine Learning Engineer

Toronto, Ontario, Canada2 yrs 11 mos experience
AI EnabledHighly Stable

Key Highlights

  • Expert in Machine Learning and Computer Vision.
  • Proficient in developing data pipelines and REST APIs.
  • Strong background in 3D reconstruction techniques.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in Computer Vision and Data Science.

Contact

LinkedIn

Skills

Core Skills

Machine LearningComputer VisionSoftware Development

Other Skills

3D ReconstructionAlgorithmsAmazon Web Services (AWS)Artificial Intelligence (AI)Back-End Web DevelopmentC (Programming Language)C++Cloud ComputingColmapConvolutional Neural Networks (CNN)Data AnalysisData PipelinesData PreparationData ScienceData Structures

Experience

Pinterest

Machine Learning Engineer

Jul 2025 – Present · 8 mos · Toronto, Ontario, Canada · Remote

Amazon

Software Development Engineer II

Sep 2024 – Jul 2025 · 10 mos · Toronto, Ontario, Canada · On-site

Meta

Software Engineer, Machine Learning/Computer Vision

Jul 2023 – Sep 2024 · 1 yr 2 mos · Sunnyvale, California, United States · Remote

Python (Programming Language)Computer VisionData PipelinesData PreparationOpen-Source SoftwareTransformer Models+7

Amazon lab126

2 roles

Software Engineer, Machine Learning

Feb 2020 – Jan 2023 · 2 yrs 11 mos · Sunnyvale, California, United States · Hybrid

Python (Programming Language)Data StructuresJenkinsSoftware DevelopmentREST APIsFlask+16

Software Engineer Intern

Jun 2019 – Aug 2019 · 2 mos · Sunnyvale, California, United States

Python (Programming Language)Data StructuresSoftware DevelopmentArtificial Intelligence (AI)Extract, Transform, Load (ETL)Algorithms+9

Texas instruments

Computer Vision Internship

May 2017 – Jul 2017 · 2 mos · Bengaluru Area, India

  • 3D Scene Reconstruction (Mr. Bharath Patil, Texas Instruments India) (Summer Internship)
  • The goal was to reconstruct 3D view of human face by stitching various views obtained from a 3D Time of Flight camera
  • Extracted facial landmarks viz. eyes, mouth, nose, jawline, eyebrows using dlib library in python
  • Aligned the views roughly using Kabsch algorithm which uses Singular Value Decomposition
  • Registered them finely using variants of Iterative Closest Point (ICP) algorithm and merged them into single cloud
Data Structures

Education

UC San Diego

Master of Science - MS — Computer Science

Jan 2018 – Jan 2020

Indian Institute of Technology, Kanpur

Bachelor of Technology - BTech — Electrical Engineering

Jan 2014 – Jan 2018

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