Rishabh Garikiparithi
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Rishabh Garikiparithi

Rishabh Garikiparithi

Mechanical Engineer

English, French, Hindi

Background


About

About

A Mechanical Engineering Student interested in getting into Software Engineering

Work Experience

Work Experience

  • New Model Engineering Development InternHonda of Canada Mfg.

    May, 2021 - Present

    • Utilized SQL and XQuery to extract vehicle electronic test data in XML, and generate a data visualization dashboard for production associates, reducing $100,000/year of downtime.

    • Researched emerging technologies, analyzed use cases, and led engineering discussions for the launch of a real-time locating system to locate in-house inventory vehicles, estimated to provide returns of over $250,000/year.

    • Automated the generation of daily part defect reports using Python, enabling optimal delegation of resources in the Parts Quality department, and saving 150+ hours/year.

    • Developed a vision system using Cognex Insight Explorer to detect engine assembly lubricant on camshaft journals as a demonstration of collaborative robots in production applications safely working alongside humans.

  • Co-CaptainUofT Human Powered Vehicles Design Team

    Sep, 2019 - Present

    • Led a 25 member team designing a human-powered propeller aircraft to fly a marathon in one hour with only human power, as well as a recumbent low-racer for the Michigan HPRA

    • Treated a tandem vehicle fairing surface for wind-tunnel testing and aerodynamic optimization at the Boundary Layer Wind Tunnel Laboratory, chasing the team’s previously set world speed record of 120.2 km/h.

    • Directed sponsorship, recruitment, and training initiatives to foster positive team culture, and grow the team by 30%.

  • Image Processing Lead VelocityVision

    Sep, 2020 - Dec, 20203 months

    • Created a convolutional neural network to classify traffic sign images using PyTorch and optimized hyperparameters to improve performance, resulting in a test accuracy of 97%.

    • Built an image augmentation pipeline to transform images (normalization, noise variation, etc.), reducing overfitting and improving model performance by 16%.

  • Lead DeveloperCounterweight Patio Umbrella

    Oct, 2020 - Dec, 20202 months

    • Developed a kinematic simulation of a patio umbrella linkage mechanism using MATLAB.

    • Numerically demonstrated using vector analysis techniques that the use of counterweights allowed for a full range of motion with a low input force for people with limited mobility and physical strength.

Skills

Skills

  • Programming

    Python

    Flask

    C++

    SQL (PostgreSQL,IBM DB2 🤮, Microsoft SQL Server

    JavaScript

    TypeScript

    HTML

    CSS

    Git

    VBA

    Cognex Insight (Computer Vision)

    XML and XQuery

  • CAD

    SolidWorks (CAM, FEA, composites simulation, topology optimization, mold design)

    CATIA V5

    ANSYS

    Fusion 360

    Autodesk Inventor

    NX

    AutoCAD

    FreeCAD

  • Data/ML

    Data processing and Neural Networks in PyTorch

    SciPy

    Pandas

    NumPy

    MATLAB

    Minitab

Education

Education

  • Mechanical Engineering, Minor in Robotics, Certificate in AI, Bachelor of Science, University of Toronto

    Sep, 2018 - Apr, 2023

    Intro to AI

    Data structures and Algorithms

    Numerical Methods

    Python Programming

    Statistics

Certificates

Certificates

Awards

Awards

  • Deans List (all semesters) , University of Toronto

    Awarded on: Apr 30, 2021

    Awarded to students with a full-time course load with a weighted term average of 79.5% or higher

  • Shell Engineering Scholarship , Shell

    Awarded on: Aug 11, 2020

  • J.A. Findlay Scholarship , University of Toronto

    Awarded on: Aug 11, 2020

Interests

Interests

  • Carpentry

  • 3D-Printing and Digital Manufacturing

  • Open-Source Software

  • Advanced Mathematics

  • Cycling

  • Rock Climbing

  • Environmentalism