Computer Science student blending technical problem-solving with creativity. Interested in AI, data, backend systems, and digital design, with experience building projects ranging from budgeting apps to automated web tools.

Helena Kosmajac

Computer Science student blending technical problem-solving with creativity. Interested in AI, data, backend systems, and digital design, with experience building projects ranging from budgeting apps to automated web tools.

Available to hire

Computer Science student blending technical problem-solving with creativity. Interested in AI, data, backend systems, and digital design, with experience building projects ranging from budgeting apps to automated web tools.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more

Language

English
Fluent

Work Experience

Python & Java Instructor at WizRobotics
April 1, 2025 - Present
Taught programming curricula spanning basic syntax to advanced object-oriented programming, data structures, and algorithms. Designed interactive code-alongs and personalized assessments, adapting to each student’s learning style. Prepared students to compete in the Canadian Computing Competition (CCC) and First Robotics Competition (FRC).
Cell Manufacturing Controls Engineering Intern at Tesla Giga Texas
September 1, 2025 - December 1, 2025
Designed and optimized control systems for Tesla’s cell manufacturing lines using Structured Text, Python, and C++, increasing automation reliability and production efficiency. Independently designed and partnered with leading engineers to implement a compressed air cleaning system that eliminated machine errors and reduced process contamination by 35%. Developed software tools to monitor and analyze manufacturing data across Tesla’s cell production pipeline.
AI Training, Coding and Mathematics at DataAnnotationTech
April 1, 2024 - September 1, 2024
Enhanced AI chatbot performance using Python and JavaScript, achieving a 25% improvement in NLP accuracy through detailed feedback and iterative problem-solving. Applied CS fundamentals to analyze linguistic datasets, reducing error rates by 18% through high-quality annotations and data evaluation. Collaborated with AI teams to implement feedback loops across C++ and Java codebases.

Education

Bachelor of Science in Computer Science at Toronto Metropolitan University
September 1, 2023 - April 1, 2027

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Manufacturing, Professional Services, Other

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more