Education
Queen's University
2019 — 2024
Academic Involvement:
- Research Assistant for Research Project (APSC 497)
- Teaching Assistant for Operating Systems (ELEC 377)
- Teaching Assistant for Programming I (APSC 141)
- Teaching Assistant for Programming II (APSC 143)
Extracurricular:
- Quantitative Machine Learning Engineer at QUANTT
- Machine Learning Engineer at QMIND
- Financial Director at QBMET
- FD | Coordinator at QSAA
- Coordinator at CIRQUE
Core Technical Courses:
- Machine Learning & Deep Learning (ELEC 425)
- A.I. & Interactive Systems (ELEC 472)
- Data Structures and Algorithms (ELEC 379)
- Networks (ELEC 373)
- Apple Discrete Math (ELEC 270)
- Algorithms (CMPE 365)
- Probability & Random Processes(ELEC 326)
- Operating Systems (ELEC 377)
- Software Development (CMPE 320)
- Calculus II (APSC 172)
- Software Quality Assurance (CMPE 327)
- Differential Equations (MTHE 235)
- Principles of Design & Development (ELEC 390)
- Programming Language Processor (CMPE 458)
- Database Management Systems (CMPE 332)
- System Architecture (ELEC 470)
- Information Structures (ELEC 278)
- Performance Analysis (SOFT 437)
- Calculus I (APSC 171)
- Digital Systems Engineering (ELEC 374)
Professional Experience
Teaching Asssistant at Queen's University
Sept 2023 – January 2024 • Kingston, ON
- Assessed midterms and labs for ELEC377: Operating Systems in Linux and C, and APSC141/143: Programming I/II in Python.
- Facilitated weekly labs and problem-solving sessions in mastering data structures & algorithms, kernel operations, memory management, multithreading, concurrency, and distributed systems. Covered real-time systems, process scheduling, synchronization, OS design, and performance.
Research Assistant at Queen's University
Sept 2022 - May 2023 • Kingston, ON
- Advanced the development of a software language parser and interpreter by leveraging TXL to define transformational properties and XML for configurable mappings between Python and C programming constructs, streamlined analysis and communication between intermediates.
Undergraduate Consultant at Queen's University
May 2021 – August 2021 • Kingston, ON
- Mentored students 1 to 1 on tangible social, academic, and healthy lifestyle skills to achieve success based on academics and personal experience.
- Created weekly plans in collaboration with students to address academic challenges, elevated grades and enhanced confidence.
Operations and Automation Engineer Intern at Peel Region
June 2022 – Sept 2022 • Caledon, ON
- Led a small team to compile precise GIS data for a pilot research initiative, fostering stakeholder collaboration and ensuring project transparency.
- Constructed geospatial models to boost collection efficiency, partnered with app. developers to implement efficient design/DB strategies and testing.
- Assisted in improvement of the team’s data application performance through testing and analysis, automating collection processes and efficiency, and introduced data processing strategies to refine and aggregate data.
Digital Solutions Consultant at Rogers & Bell
Apr 2022 – Aug 2023 • Remote | Greater Toronto Area, ON
- Negotiated client contracts and problem-solved complex challenges by leveraging technical expertise and client relationships daily.
- Proficiently utilized Salesforce to track and execute CRM strategies, elevating client engagement, and supervised employee training rotations.
- Prepared proposals and documentation, collaborating with cross-functional teams to identify client requirements and develop tailored solutions.
Awards
Academic:
- Top 5 QEC, Top 3 QSAC
- Finalist in Hackathon at Queen's University
- Marketing Excellence Award
Certifications
Software:
- AWS Certified AI Practitioner
- IBM AI Engineering
- Stanford Machine Learning Specialization