victor nsek

Teaching & Training Led and coached student teams at Apetch to 1st place finishes in 5–10 international tech competitions, spanning hackathons, coding challenges, and innovation contests — competing and winning against participants worldwide. Trained 1,000–3,000 students across multiple cohorts through an intensive, hands-on software engineering programme covering Frontend (React/Vue), Backend (Node.js/Python), Mobile (iOS/Android), and Data/ML. Designed and delivered a structured months-long curriculum that took complete beginners to job-ready engineers. Graduates went on to secure developer roles, launch their own startups/apps, and build freelance client projects — a direct reflection of the practical, project-based approach.

Teaching & Training Full-Stack Software Engineering Bootcamp — Lead Instructor & Curriculum Designer Trained 1,000–3,000 students across multiple cohorts through an intensive, hands-on software engineering programme covering Frontend (React/Vue), Backend (Node.js/Python), Mobile (iOS/Android), and Data/ML. Designed and delivered a structured months-long curriculum that took complete beginners to job-ready engineers. Graduates went on to secure developer roles, launch their own startups/apps, and build freelance client projects — a direct reflection of the practical, project-based approach. ⚙️ Engineering Projects Full-Stack Product Development — 0 to 1 Builds Architected and delivered multiple full-stack applications from scratch, owning the entire lifecycle from requirements to deployment — covering React/Vue frontends, Node.js/Python backends, and mobile layers. Led cross-functional engineering decisions including system design, tech stack selection, and delivery timelines. System Optimisation & Scalability Identified and resolved performance bottlenecks across production systems, improving speed, reducing infrastructure costs, and increasing reliability for end users. Applied backend and data engineering best practices to ensure systems scaled under real-world load. Mobile & Data/ML Integration Built and shipped mobile applications (iOS/Android) integrated with backend APIs and data pipelines. Implemented ML-powered features into production products, bridging the gap between data science and software delivery.