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Gospel Bassey

@gospelbassey

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Mechanical Engineer specializing in AI/ML applications for industrial systems.

Zimbabwe

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What I'm looking for

I seek a role that fosters innovation and collaboration, allowing me to leverage my AI/ML skills to solve real-world engineering challenges.

I am a Mechanical and Manufacturing Engineer with a strong focus on AI and machine learning applications tailored for industrial systems. My expertise lies in developing predictive models and computer vision solutions that address complex engineering challenges and optimize manufacturing processes. I thrive on driving innovation through data-driven approaches.

Currently, I work as an ML/AI Engineer at Anpu Labs, where I design and implement machine learning models to solve intricate business problems. My role involves collaborating with cross-functional teams to integrate AI solutions into existing products, optimizing model performance, and maintaining data pipelines for continuous model training. I have also contributed to various projects, including predictive maintenance systems and defect detection in 3D printing processes, showcasing my ability to apply advanced algorithms and data analysis techniques effectively.

Experience

Work history, roles, and key accomplishments

Current

ML/AI Engineer

Current

Anpu Labs

Mar 2025 - Present (3 months)

Designed and implemented machine learning models to solve complex business problems, collaborating with cross-functional teams to integrate AI solutions. Optimized model performance and scalability for production environments, performing data analysis and feature engineering to improve accuracy.

Machine Learning AI Data Analysis Data Pipelines Optimization

Machine Learning Engineer

The Intern Place

Jan 2025 - Mar 2025 (2 months)

Developed and trained machine learning models for predictive analytics applications, processing and analyzing large datasets using Python and SQL. Implemented classification and regression algorithms, collaborating on data visualization dashboards and creating efficient data processing pipelines.

Machine Learning Predictive Analytics Python SQL Classification Data Visualization Data Pipelines

Engineering Intern

Breitz Investment Limited

Sep 2017 - Aug 2019 (1 year 11 months)

Assigned to partake in diesel engine routine maintenance, working with the engineering team in the general operation and maintenance of plant equipment.

Diesel Maintenance Plant Equipment Operation Mechanical Engineering Maintenance

Education

Degrees, certifications, and relevant coursework

Petroleum Training Institute

Higher National Diploma, Mechanical Engineering/Mechanical Technology

Grade: AkwaCross Best HND Student 2020/2021, Best HND1 student in AutoCAD

Completed a Higher National Diploma in Mechanical Engineering/Mechanical Technology. Recognized as AkwaCross Best HND Student 2020/2021 and Best HND1 student in AutoCAD.

Maritime Academy of Nigeria

National Diploma, Marine Engineering

Grade: Second-class upper division

Activities and societies: Certificate of Proficiency in Basic Mandatory Onboard Safety Training (August 2017), Certificate of Proficiency in Oil and Chemical Tanker Familiarization Course (OCTF)

Obtained a National Diploma in Marine Engineering with a second-class upper division. Also completed the Certificate of Proficiency in Basic Mandatory Onboard Safety Training and the Oil and Chemical Tanker Familiarization Course (OCTF).

The University of Texas at Austin - Texas McCombs School of Business

Post Graduate Diploma, Artificial Intelligence and Machine Learning

Developed expertise in Business Analysis, Data Analysis, and Machine Learning, gaining proficiency in Artificial Neural Networks and AI for business applications. Mastered Python programming with libraries including NumPy, Pandas, and Seaborn, applying AI solutions to business recommendations and decision-making processes.