Boluwatife Sanni

Boluwatife Sanni --https://www.linkedin.com/in/oluwatomiwasanni/ WORK EXPERIENCE EDUCATION Trainer, AI Operations Diploma in Leadership Development Covenant University May 2021 Hugo Technologies /April 2024 - present Design and implementation of comprehensive training programs focused on annotation guidelines, quality control measures, and contextual relevance. Played a pivotal role in the training team, successfully training over 250 agents and 70 QA specialists, which led to achieving a quality score of over 95% across all workflows. Conduct recalibration sessions to ensure agents stay updated with best practices Provide ongoing support to agents for continuous learning and improvement. Associate Team Lead Hugo Technologies/ June 2023 - April 2024 Provided daily leadership and guidance to a team of 30 people, promoting development and collaboration Oversaw performance management and ensured team members met and exceeded quality standards and other KPI metrics Led the creation and delivery of training programs for new hires and support training for new and ongoing projects. Supported employee success through coaching, and effective communication. Quality Auditor HCIA- Routing and Switching Huawei Technologies January 2021 Bachelor of Engineering (Computer Engineering) Covenant University August 2014 - December 2020 WASSCE Babcock University High School September 2008 - July 2014 TECHNICAL SKILLS Networking Office Suite Data annotation Google Workspace Hugo Technologies /December 2021 - June 2023 Conducted daily audits of data annotation tasks performed by production team agents to ensure accuracy and quality. Monitored and evaluated agent performance on data annotation tasks, providing constructive feedback and guidance. Identified areas for improvement in the annotation process and recommended actionable solutions. Conducted periodic recalibration sessions to align agents with the latest best practices and quality expectations. Trained new interns to ensure a seamless onboarding process, resulting in an average accuracy rate of 95%. Data Annotator Hugo Technologies /February 2021 - December 2021 Identified and labelled objects in images and videos using bounding boxes to create accurate datasets for machine learning models. Annotated concepts in images and videos, enabling the machine to identify items such as animals, food, plants, and structures. Segmented human faces into specific landmarks to support facial recognition and analysis algorithms. Participated in regular training sessions to stay updated with new annotation techniques and best practices. SOFT SKILLS Coaching Work ethic Teamwork Leadership Adaptability Communication Problem-solving Attention to detail Analytical thinking Interpersonal skills