Dusan I.

Key Skills

Software

Data Annotation Tech

Other

Top Subject Matter

LLM testing and coding benchmarks (multi-language programming).

Web automation testing and QA for web applications.

Machine learning model development and analytics for product decisions.

Top Data Types

Text

Top Task Types

Data Collection

Freelancer Overview

QA Analyst — Data Annotation Tech (LLM Testing / LLM Development). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Data Annotation Tech and Other. Education includes Bachelor of Science, University of Toronto - St. George Campus (2026). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

QA Analyst — Data Annotation Tech (LLM Testing / LLM Development)

Data Annotation Tech

Served as an LLM testing and development QA/data role by writing and validating large volumes of gold-standard code solutions for benchmark performance. Evaluated the pass rate of 500+ AI-generated code snippets across 7+ programming languages to identify training and quality gaps. Provided structured improvements to increase accuracy based on observed deficiencies. • Wrote hundreds of gold-standard coding solutions to benchmark AI performance and train models using best practices. • Developed modular, multi-file GitHub codebases to support learning across multiple files. • Assessed pass rates for AI-generated snippets across multiple languages and documented inadequacies. • Reviewed peer tasks and delivered structured feedback to improve quality and flag common issues.

2024 - 2024

Automation Developer Intern — Riipen Level-up Internships (Website Automation / Selenium / Web Scraping)

OtherData Collection

Performed project-based website automation work that included systematic identification and testing of bugs and feature-related behaviors. While not formal data labeling, the work contributed to dataset-like QA inputs used for improving system outputs and user-facing functionality. Activities focused on automating checks and validating scraped or tested behaviors. • Implemented automated website testing protocols using Selenium for 95% of website features. • Identified and tested hundreds of bugs and helped develop 5+ websites for startups. • Designed and implemented UI/UX features and corresponding automated checks. • Coordinated with employers on feature implementation roadmaps to improve engagement.

2022 - 2024

Machine Learning and Market Analysis Intern — VFC Internship Program (Python / Machine Learning / Market Research)

Other

Worked on Python-based machine learning and market analysis projects with a focus on building an ML sorting system for website searchability. The role involved developing model components and pipelines, which function as model-training/optimization efforts rather than manual annotation. Outputs were used to deliver actionable insights for product design and scalability. • Engineered a Python k-means machine learning sorting system to improve website searchability for 6000+ users. • Conducted competition and market analysis across 100+ companies to recommend product and marketing strategies. • Delivered actionable insights to support decisions in website development and product design. • Developed and iterated on ML code in a project-based remote setting.

2021 - 2024

Education

Work History