Data Annotator
I worked on labelling, segmetation and rating of task
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Frontend Developer Intern (Kachitech Institute) — code evaluation & structured feedback. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Obafemi Awolowo University (2025) and Frontend Web Development Course, Udemy (2025). AI-training focus includes data types such as Computer Code, Programming, and 3D Sensor and labeling workflows including Evaluation, Rating, and Data Collection.
I worked on labelling, segmetation and rating of task
Evaluated and reviewed code artifacts to identify correctness, syntax issues, logic flaws, and structural inconsistencies in HTML, CSS, and JavaScript. Provided structured written feedback during Git-based code reviews, mirroring quality assessment and evaluator rubric thinking for AI outputs. Applied usability and functional standards when assessing interface designs to surface gaps, propose improvements, and validate expected behavior.• Identified syntax errors, logic flaws, and inefficiencies in code.• Assessed code readability and best-practice adherence during reviews.• Ranked or judged quality of peer contributions using structured feedback patterns.• Evaluated UI designs for functional usability alignment and improvement recommendations.
Led cross-functional UI/UX design work for an app and online marketplace through iterative requirements-to-design translation. Conducted structured user experience reviews to assess clarity, usability, and alignment with functional expectations. Managed team coordination and delivery timelines in remote collaboration settings that emphasize consistent evaluation and quality iteration.• Led wireframing and interface layout iterations for usability goals.• Evaluated user experience outputs against requirements and usability standards.• Coordinated team workload and review cycles to meet delivery constraints.• Applied structured problem-solving to refine interface decisions under feedback.
Designed and tested a sensor-integrated HVAC predictive maintenance prototype using collected sensor data. Formulated and evaluated hypotheses based on evidence from sensor measurements, supporting data-driven analysis workflows. Produced structured technical documentation describing system architecture, data pipelines, and model insights to enable consistent downstream evaluation.• Collected and used HVAC sensor data for analytics and fault anticipation testing.• Ran hypothesis-driven experiments to validate system behavior and predictive signals.• Documented data pipelines and system architecture for repeatable analysis.• Balanced hardware and software constraints to support real-world deployment scenarios.
Bachelor of Science, Computer Science and Engineering
Frontend Web Development Course, Computer Science
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