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Hi there!
My name is Akus Chhabra, I am an Aerospace Engineering graduate from Toronto Metropolitan University with professional experience in Aircraft Performance Engineering and Full-Stack Development.
Currently, I am working as a Full-Stack Developer at Clouver, where I develop client-requested features using JavaScript, GraphQL, HTML, and SQL. Prior to this, I worked as an Aircraft Performance Engineer at Bombardier Aerospace, contributing to flight management system (FMS) data analysis, updating aircraft flight manuals, and developing scripts to analyze mission performance for the Global aircraft.
My technical expertise in programming includes machine learning, computer vision, and data analysis. I developed a convolutional neural network (CNN) using TensorFlow to classify crack sizes in aerospace materials and implemented a YOLOv8 model for image recognition, streamlining verification processes in PCB manufacturing. I am proficient in programming languages such as Python, MATLAB, and JavaScript, and have experience with development tools such as React, Linux and Batch Script.
I am eager to apply my knowledge through contributions to diverse projects in aerospace, software, and engineering fields.
Work Experience
Full-Stack Developer
Clouver
January 2025 - Present
Toronto, ON, Canada
Support client operations on Retool using Shopify API and JavaScript to streamline operations following DevOps principles and provide continuous enhancement of features based on client feedback
Construct queries using GraphQL to retrieve customer and order data to support client feature requests
Develop order querying functionality with database platforms such as MongoDB to establish data versioning of existing orders, enabling clients to revert orders and measure business performance
Integrate APIs such as Shopify and Google to develop app features such as address autocomplete, order file storage, and metadata queries
Synchronize data between different web applications using REST API to maintain continuous client database identification
Aircraft Performance Engineer
Bombardier Aerospace
May 2022 - August 2023
Toronto, ON, Canada
Contrasted performance datasets using the pandas and matplotlib libraries in Python to validate changes made to the datasets and maintain continuity for future iterations
Developed and updated AFM and FPCCM performance data for the Global aircraft using MATLAB to support pilots with their preliminary calculations and ensure aircraft operate within performance margins
Managed simulated flight testing with suppliers to satisfy certification requirements for various aircraft conditions such as OEI, depressurization, and ETOPS
Conducted mission profile analysis for the Global 7500 and 8000 aircraft to validate simulated flight test results delivered by suppliers
Performed preliminary data analysis for the development of the Runway Overrun Awareness and Alerting System at various runway conditions, bleed, and braking conditions to prevent the risk of runway overruns
Implemented git tracking using Linux to maintain version control of new and updated files
Education
Aerospace Engineering (B. Eng.)
Toronto Metropolitan University
September 2019 - April 2024
Toronto, ON, Canada
Graduated with Distinction — 4.01 CPGA
Propulsion
Intro to Machine Learning
Systems Engineering
Aircraft Stability and Control
Applied Finite Elements
Aeroelasticity
Aircraft Performance
Component Design & Material Selection
Aerodynamics
Stress Analysis
Electric Machines and Actuators
Thermodynamics & Heat Transfer
Programming Languages
Skills
Microsoft Office
Linux
Git
CATIA V5
Solidworks
MultiSim
Arduino
SpyderIDE
Node.js
Software
SpyderIDE
MongoDB
ANSYS Fluent
MongoDB
ANSYS Fluent
ANSYS Mech APDL
PyTorch
TensorFlow
Discord.js
Keras
Batch Script
Node.js
Shopify
Retool
React
AWS S3
Shopify API
Postman
Languages
English (Native)
French (Fluent)
Hindi (Intermediate)
Punjabi (Intermediate)
Awards
Dean's Honour List - 2019/2020
Dean's Honour List - 2020/2021
Dean's Honour List - 2021/2022
Dean's Honour List - 2023/2024
Google Sites
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