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Alton Lavin D’souza

Summary

Highly motivated and team-oriented Master’s student in Computer Engineering with a strong foundation in machine learning and software development. With 3 years of proven ability to design, develop, and deploy robust software solutions, I leverage various programming languages (e.g., Java, Python) and frameworks (e.g., Terraform, PyTorch, TensorFlow). Seeking a Machine Learning Engineer or AI Software Developer position to apply my machine learning expertise to solve complex problems and contribute to the development of cutting-edge AI applications.

Technical Skills

Programming Languages

  • Java
  • Python

Machine Learning Frameworks

  • PyTorch
  • TensorFlow
  • scikit-learn
  • seaborn
  • pandas
  • numpy
  • matplotlib

Cloud Infrastructure

  • Oracle Cloud Infrastructure
  • Amazon Web Services
  • Terraform

Software Development

  • Design Patterns
  • System Design
  • Backend Development
  • Software Debugging

Data Science Skills

  • Data Preprocessing
  • Time Series Analysis
  • Visualization
  • Machine Learning Development

Developer Operations

  • Docker
  • Jenkins

Signal Processing

  • Fourier and Wavelet Transforms
  • High Pass, Low Pass filter
  • Band Pass and Gaussian filter

Operating Systems

  • Windows
  • Ubuntu
  • Oracle Linux

Other Tools

  • Splunk
  • Google Colab
  • Cadence
  • Maven
  • Jupyter Notebook
  • git

Work Experience

Oracle Cerner
Level 2 Software Engineer
Dec 2019 – Aug 2023 (Full Time)

  • Started as an intern and was eventually promoted to Level 2 Software Engineer.
  • Collaborated with team members to design, develop, maintain, review, and release software components for the Careaware EHR system.
  • Developed the ALPHA Medical Driver Software Delivery system, facilitating the delivery of alpha code for medical devices to designated tenants within a cloud region.
  • Improved integration testing by leveraging Docker to simulate device interactions for testing medical driver software, and created a framework around it.
  • Co-designed and implemented a low-code tool that significantly reduces development time for medical device drivers.
  • Created and maintained design documentation for the implemented software.
  • Mentored new colleagues, facilitating a smooth onboarding experience.

Education

Master of Engineering
Electrical and Computer Engineering
University of Alberta
2023 – Current

Bachelor of Technology
Computer Science and Engineering
Christ University
First Class
2016 – 2020

Awards

Night Over The Town Award
Oracle Cerner
2021

Certification

Advanced Certification in Artificial Intelligence in Digital Health and Imaging
Indian Institute of Science

This program covered various imaging tools and systems used by healthcare providers, as well as the application of different signal processing techniques to 1 and 2-dimensional signals. Furthermore, I learned how to create Deep Neural Networks to perform image and signal processing.

Projects

Detection of Corona Virus in Chest X-Ray Images
This project involved training a CNN model to detect coronavirus in chest X-ray lung images. To achieve this, we utilized data from three separate datasets.

Arrhythmia Detection in ECG Waveforms
In this project, we explored different signal processing techniques, machine learning models, and deep learning models to detect arrhythmias in ECG signals.

Tensor Processor in Memory
This project involved the full custom design of a multiply and accumulate unit (MAC unit) for a digital integrated circuit (IC). We primarily employed static CMOS logic for the gate design, and the entire project was implemented within the Cadence design environment.

Hobbies and Interests

  • Playing badminton
  • Trekking and hoping to trek more in the future
  • Interested in finding like-minded friends
  • Hoping to break cultural barriers in Canada and interact with people from different cultures

Contact

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