Johnbarlow Anayo Onyema

Johnbarlow Anayo Onyema

Machine learning engineer
United Kingdom
English, French

About Me

As a data scientist, I bring a strong background in Biomedical Engineering, Data Science, and Software Engineering. With expertise in training AI models for biomedical engineering applications, optimizing performance, an…

Experience

Machine learning Intern

Ignitus
Jan 2024 - Present · 2 years 6 months

- Actively contributed to the development of Ignitus LMS (Learning Management System) during a highly competitive internship, leveraging technical expertise to deliver a cutting-edge solution tailored for the corporate market.

- Collaborated closely with ML-ers, developers, UI/UX designers, and technical writers to drive the implementation of key LMS components, including course management, teaching materials display, self-assessment quizzes, and built-in reporting, resulting in a comprehensive and seamless learning experience for users.

- Employed advanced programming skills to optimize the learner's experience, implementing an intuitive user interface, mobile capabilities, and blended learning features, leading to increased user satisfaction and engagement metrics.

- Assisted in conducting rigorous user surveys and gathering feedback, utilizing analytical thinking to identify pain points and areas for improvement, thus contributing to the continuous enhancement of the Ignitus LMS.

Machine learning engineer Intern

Ignitus, Pittsburgh, USA (Remote)
Jan 2024 - Present · 2 years 6 months

Actively contributed to the development of Ignitus LMS (Learning Management System) during a highly competitive internship, leveraging technical expertise to deliver a cutting-edge solution tailored for the corporate market.
Collaborated closely with ML-ers, developers, UI/UX designers, and technical writers to drive the implementation of key LMS components, including course management, teaching materials display, self-assessment quizzes, and built-in reporting, resulting in a comprehensive and seamless learning experience for users.
Employed advanced programming skills to optimize the learner's experience, implementing an intuitive user interface, mobile capabilities, and blended learning features, leading to increased user satisfaction and engagement metrics.
Assisted in conducting rigorous user surveys and gathering feedback, utilizing analytical thinking to identify pain points and areas for improvement, thus contributing to the continuous enhancement of the Ignitus LMS.

Biomedical Engineer

National Hospital Abuja, Nigeria
Nov 2020 - Dec 2021 · 1 year 1 month

Managed a process re-engineering project to improve and consolidate end-to-end service processes; restructured communication flow among 10 departments and cut down paperwork by 75%.
Implemented a comprehensive quality control system for a medical device manufacturing process, resulting in a 50% reduction in product defects.
Programmed and designed a device to monitor and regulate temperature inside the pharmacy cold room, providing real-time data analysis of compressor performance to the pharmacist and biomedical engineer, improving medication storage conditions and ensuring compliance with regulatory requirements.

Solar Engineer

Afrisun, Jos, Nigeria
Oct 2019 - Oct 2021 · 2 years

Developed expertise in solar energy systems, including the design, installation, and maintenance of solar panels, inverters, and batteries, ensuring optimal energy resource utilization.
Installed solar panels and inverters in numerous client residences, contributing to their energy sustainability.
Successfully installed solar panels and inverters in multiple client residences, reducing their reliance on non-renewable energy sources and providing them with a reliable and sustainable energy solution.
Personally manufactured a 12V sine wave inverter with locally fabricated casing and material.

Machine learning engineer

Scale AI, Palo Alto California, USA (Remote)
Nov 2023

Developed a comprehensive dataset of biomedical engineering-related questions and answers, enabling effective training of AI models in the domain.
Evaluated and ranked the performance of AI-generated responses in the biomedical engineering domain, ensuring the highest quality and factual accuracy.
Conducted regular model performance analysis and fine-tuning to optimize AI systems for biomedical engineering applications, improving their overall effectiveness.
Implemented feedback mechanisms to capture user input and improve AI models' understanding and response capabilities in the biomedical engineering domain.

Skills

Python Machine Learning Algorithms Deep Learning C# C++ AWS GCP Docker PostgreSQL Spark Hadoop SQL Power BI Data analytics Machine learning Data Engineering
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