Advanced Proficiency in Python

- Teaching Python to students. - Holding AI seminars, and lectures. - Mentoring some of the students, as they follow the data science path. - Hosting coding competitions among students of the University.

Campus Ambassador

Moderator

Bachelor of Engineering - BE

- Formed the AI and Data Science department at Darey.io, with the team having 7 members at its peak. - Created KPIs for the AI team, which really improved the efficiency of the team, and also improved the quality of the AI solutions done by the team. - Led the development of Artificial Intelligence and Data Science courses on the Darey.io platform, with over 5,300 registered learners. - Led the development of an AI project marking solution for students’ projects. This system is designed to process students’ submission in a wide array of submission formats. The system is robust and can handle most submission types, in different formats, with a failure rate of less than 1%, with over 2,500 students actively using this solution. - Developed the comprehensive Darey Score, which was a single number between 0 to 1000, that indicated the technical ability of each learner. This number, tracked their daily activities on the platform like quizzes, mini-projects, capstone projects, logins, and a 

Lead AI Engineer

- Pioneered the development of all AI features in the new Xterns.ai platform. A platform that offers a simulated externship experience to techies that want to up-skill, in such a way that they learn by working on projects as they would in an organization or company with mentors. This has helped around a thousand people navigate the tech space. - Engineered an AI-assisted feature that helped mentors create projects for future learners that will be joining the platform, in a way that is detailed prerequisites, technologies the student will learn, objectives and more. - Created a way for learners to tailor their learning to their daily, and weekly availability; so that learners that are engaged with other activities can still use the platform and learn from their externship projects conveniently. The system takes their personal information like their daily availability, weekly availability, the duration they want the entire project to run for, the number of people they want to work with, 

AI Engineer

- Led the design, development, and implementation of a highly effective NLP-based chatbot solution for streamlining food and drink ordering in restaurant chains across Germany. - Collaborated with cross-functional teams, including software engineers to ensure seamless integration. - Implemented continuous improvement processes based on user feedback, leading to iterative updates and enhanced functionality. - Maintained up-to-date knowledge of industry trends and emerging technologies, incorporating relevant advancements to enhance the chatbot's capabilities.

Machine Learning Engineer - NLP

- Collaborated with a fellow Data Scientist to build the ML architecture behind the MVP of the company. The MVP is an AI powered chatbot, that uses state-of-the-art Natural Language Processing techniques to answer questions relating to Occupational Health and Safety (OSH). This product brings about a 44% reduction in OSH costs for companies using it. - Led the creation of different internal pipelines, like pipelines for data extraction and cleaning at scale. This solution was made possible by creating an internal Python package for the team, that was easy to use, with good documentation. The solution also incorporated other easy access to other tasks that were mostly repetitive. - Worked on the database architecture for the specific needs of the chatbot. The architecture of the database that was built enabled the chat bot’s database query to be over three times faster, compared to conventional databases. - Designed AI solutions for different use cases for clients, including contract re

Data Scientist - NLP

- Conducted in-depth research to identify relevant and impactful case study topics in the data science field. - Developed end-to-end solutions for the identified case studies, utilizing advanced data science techniques and algorithms. These include using Cloud technologies like AWS to build and deploy ML applications. - Create comprehensive documentation, reports, video content, and/or any other required document to communicate findings and results effectively.

Data Scientist

- Designed a music recommender system, based on the lyrics of the songs. The goal of the system was to recommend songs that were of similar genres. At the end, an NDCG score of 83% for this recommender system. - Designed and trained the Computer Vision ML architecture for the model of a self-driving car. The ML model uses reinforcement learning to decide how to steer the car, when to accelerate/decelerate, etc. - Built an ML model to fill in missing pixels in images that had at most half of their pixels missing. The model made use of Autoencoders to encode the incomplete images, and decoders to output a prediction of the complete image. - Created an experimental ML solution that uses the recorded breathing sound of patients, for identifying if the patients may or may not have respiratory illnesses. - Wrote codes for different ML codebases to improve performance, add new features.

Data Scientist - Computer Vision, NLP, Analytics

AI Developer

Know about Iyobosa Evbayowieru's work experience, education, bootcamps, certifications, and much more. Iyobosa Evbayowieru