I'm Daniel Zhezlov, a computer science student with hands-on experience in building and testing software across front-end and back-end stacks. I enjoy turning ideas into robust, well-tested code and collaborating with teams to deliver meaningful digital solutions. My strengths include JavaScript/TypeScript, Python, Java, and SQL, and I thrive in environments that challenge me to learn and grow. Beyond coding, I love teaching and sharing knowledge. As an Undergraduate Teaching Assistant, I supported thousands of assignments and exams while helping students grasp data science concepts. As an AI trainer, I evaluate and refine AI-generated code. I'm excited to bring my full-stack skills and collaborative mindset to new, impactful projects.

Daniel Zhezlov

I'm Daniel Zhezlov, a computer science student with hands-on experience in building and testing software across front-end and back-end stacks. I enjoy turning ideas into robust, well-tested code and collaborating with teams to deliver meaningful digital solutions. My strengths include JavaScript/TypeScript, Python, Java, and SQL, and I thrive in environments that challenge me to learn and grow. Beyond coding, I love teaching and sharing knowledge. As an Undergraduate Teaching Assistant, I supported thousands of assignments and exams while helping students grasp data science concepts. As an AI trainer, I evaluate and refine AI-generated code. I'm excited to bring my full-stack skills and collaborative mindset to new, impactful projects.

Available to hire

I’m Daniel Zhezlov, a computer science student with hands-on experience in building and testing software across front-end and back-end stacks. I enjoy turning ideas into robust, well-tested code and collaborating with teams to deliver meaningful digital solutions. My strengths include JavaScript/TypeScript, Python, Java, and SQL, and I thrive in environments that challenge me to learn and grow.

Beyond coding, I love teaching and sharing knowledge. As an Undergraduate Teaching Assistant, I supported thousands of assignments and exams while helping students grasp data science concepts. As an AI trainer, I evaluate and refine AI-generated code. I’m excited to bring my full-stack skills and collaborative mindset to new, impactful projects.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

Javanese
Advanced
Afar
Advanced

Work Experience

AI Trainer - Coding at DataAnnotation
January 1, 2025 - Present
Reviewed and evaluated the performance of Large Language Models (LLMs) for programming-related tasks; provided suggestions and edits when necessary. Performed testing for AI-generated code, set up environments, wrote unit tests, and conducted manual testing. Worked with Python, JavaScript, Java, C#, C++, HTML/CSS, and SQL.
Undergraduate Teaching Assistant at University of British Columbia
September 1, 2022 - May 1, 2025
Acted as a TA for STAT 201: Statistical Inference for Data Science. Assisted students in class by explaining concepts and debugging code. Organized tutorials, created and presented course material, and held weekly office hours. Graded 2000+ assignments and exams; answered 500+ course-related questions on a discussion forum. Achieved a 94% favorable rating and a median student evaluation score of 5/5 across six 200-student sections.

Education

Bachelor of Science, Major in Computer Science at University of British Columbia
September 1, 2020 - May 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Media & Entertainment