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Personal Details

Full Name: Michael Natale Lombardo

Date of Birth: March, 1997

Contact Information

Personal Email: MLombardo97@hotmail.com

Work Email: Michael.Lombardo@terrasense.ca

Mobile: (289) 200-0601

Professional

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Machine Learning Engineer - June 2022 to Present - TerraSense Analytics Ltd.

• Design, collect, and manage machine learning datasets and data pipeline.

• Develop, implement, document, and maintain new and existing software programs and machine learning models.

• Develop, implement, document, and maintain machine learning model training, validation, and deployment pipelines

• Continuously monitor success matrices of the assigned ML project and make continuous improvements for increasing model robustness & efficiency.

• Deploy ML algorithms in conjunction with other members of the Software Team and implement tools to monitor the performance.

• Attend as required TerraSense headquarters to work on datasets, software, infrastructure, and algorithms that cannot be accessed remotely

• Coordinate and attend events hosted by TerraSense partners for data collections and product integrations.

• Operate Wescam MX-15 at data collection events.

• Be the scrum master of a small product focused team. Assist Product Owner in planning quarterly goals, and bi-weekly sprints. Host daily standups for scrum team.

• Coordinate work and manage the part-time data labelling team.

• Maintain continuous integration pipelines for product system testing.

• Develop the core components of the synthetic data rendering pipeline using NVIDIA Omniverse.

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Sessional Instructor - September 2021 to April 2022 - Ontario Tech University

• Prepare and deploy course materials for lectures, laboratories, examinations and assignments.
• Conduct weekly lecture sessions (3 hours a week) of course materials in-line with the developed syllabus.
• Host office hours to provide students with a personal 1-on-1 question period.
• Be available whenever possible to answer direct messages from students about course materials.

• Courses Taught:

  • CSCI 2010U - Data Structures - Fall 2021
  • 146 students over 2 sections
  • CSCI 2040U - Software Design and Analysis - Winter 2022
  • 130 students
  • CSCI 4020U - Compilers - Winter 2022
  • 74 students

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Teaching Assistant - September 2017 to April 2022 - Ontario Tech University

• Lead laboratory, and tutorial sessions for undergraduate courses. Thoroughly mark assignments and exams with an attention to detail.

• Courses Taught:

  • CSCI 1030U - Introduction to Programming for Computer Scientists
  • CSCI 1040U - Introduction to Programming for Scientists (2)
  • CSCI 2000U - Scientific Data Analysis
  • CSCI 2040U - Software Design and Analysis
  • CSCI 2050U - Computer Architecture
  • CSCI 3070U - Analysis of Algorithms (2)
  • CSCI 4020U - Compilers
  • CSCI 4160U - Interactive Media
  • CSCI 4420U - Computer Vision
  • CSCI 4420U - Computer Vision

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Student Researcher- April 2017 to December 2021 - Ontario Tech University

• VCLab – Visual Computing Lab- (April 2018 – December 2021)

• Supervisor: Dr. Faisal Qureshi

• Develop Python framework using PyTorch for content aware video summarization using high- and low-level image processing using various neural network models.

• Conduct research on biological diagram understanding, to create the next generation of bioinformatics tools using PyTorch.

• Collaborate with bioinformatics graduate students at the University of Toronto, to ensure product meets their expectation.




• Vialab - Visualization for Information Analysis Lab- (May 2017 – April 2018)

• Supervisor: Dr. Christopher Collins

• Develop front-end JavaScript / D3 dashboard for the Registrar’s Office to assist is finding problem areas within every faculty/program, focusing on student retention.

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Computer Science Instructor - June 2019 to December 2020 - Explorer Robotics

• Developed five full courses for elementary-level students to teach the fundamentals of computer science.

• Lessons were conducted using Python, and supplemented using whiteboard activities to explain high-level concepts.

• The courses were taught in both in-person and online sessions using Zoom.

• Courses Taught:

  • Python Level 1: Programming Fundamentals
  • Python Level 2: Advanced Programming
  • Python Level 3: Game Development in Pygame
  • Python Level 4: Problem Solving using Programming
  • Python Level 5: Object Orientated Programming

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Casual

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Swing Manager - 2013 to 2017 - McDonalds Ajax

• Lead crews of 15 to 20 in a fast-paced environment. Ensure restaurant safety and production standards are met, meanwhile shadowing crew if assistance is required in areas of service, production and guest experience.

• Ensure correct food cooking procedures and safety criteria are met; track on food safety sheet (temperatures, times, batch amounts) between each meal changeover.

• Track inventory through ‘clear view’: ensuring there is enough product for 1 week in advance, that all products are within expiration date; ensuring proper food safety and food handling protocols are followed.

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Line Cook - December 2015 to March 2016 - Chuck's Roadhouse

• Work coherently in a small brigade de cuisine to prepare meals for guests.

• Cook various proteins to requested temperatures following food safety guidelines.

• Clean kitchen equipment and shutdown kitchen at closing time.