Ike-Njoku David Chukwunweike

Machine Learning Engineer at Octo Freight

Led ML model development and deployment using Python and Scikit-Learn; built data pipelines, feature engineering, and model evaluation; collaborated with backend/frontend teams and deployed models via Docker/AWS.

Machine Learning Engineer at Desacio

Developed ML solutions (Python, Scikit-Learn, Node.js) to support business workflows; conducted end-to-end experiments and collaborated with stakeholders to enable data-driven decisions.

Senior Fullstack Developer at Octo Freight

Led frontend/backend development with Node.js, AWS, and ReactJS; implemented scalable services, CI/CD practices, and collaborated closely with product teams.

Software Engineer at Compumetric Solutions Ltd

Developed Angular/Node.js applications; implemented CI/CD pipelines and Docker-based deployment; partnered with clients to deliver features.

Software Engineer at Compumetric Solutions Ltd (Abuja)

Angular/Node.js software engineering work for multiple client projects with emphasis on scalable frontend/backend solutions.

Software Engineer at The CRAVE Project

Contributed to web/software development efforts; focused on delivering robust features and improving security/performance.

Python / Web Development Instructor at National Institute of Information Technology (NIIT)

Taught Python fundamentals and web development to classes of students; mentored learners and supported their progress over several months.

Backend Software Engineer at Desacio

Backend development using Node.js, React.js and Docker; delivered features and helped shape backend architecture.

Machine Learning Engineer at Otto Freight

Optimized a delivery time prediction model using feature engineering, achieving a 19.3% improvement in accuracy. Built a ML operations pipeline for testing, deployment, and monitoring.

Python-based ML work (Scikit-learn) with Node.js components across multiple projects.

Led full-stack development using NodeJS, AWS, and ReactJS; contributed to architecture decisions and delivery of multi-tier services.

Software Engineer at The CRAVE Project

Increased voting system performance by 43% by reducing backend complexity; improved web app security with RS256 JWT; documented best practices and team priorities.