Dylan Hans Resume

Education

Queen's University

2019 — 2024

Academic Involvement:

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:

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.

Solutions Specialist at Rogers & Bell

June 2020 – August 2020 Remote | Caledon, 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
  • Stanford Machine Learning Specialization