* Built and managed the Gonachi infrastructure.* Developed and implemented customer service chatbots powered with LLMs.* Oversaw the engineering team, ensuring project milestones were met.

• Developed a state-of-the-art sentences/content simplification system that provides personalized simplification on digital books according to the user's level of understanding.• Trained various models to generate personalized summaries and key points, enhancing the user experience and learning outcomes.• Led the technical implementation of a cutting-edge AI-driven reading and comprehension tool, utilizing expertise in Natural Language Processing (NLP) and Machine Learning (ML).• Designed and implemented BigPal's scalable system architecture, assuring great performance and a user-friendly experience.• Actively participated in business development activities, investor relations, and pitching to stakeholders, demonstrating BigPal's value and potential.Additional:• Within a month at BigPal, successfully built a community of over 1000 active members, where we trained them in AI product development, with a target of reaching 10,000 members within a year.• Conducted classes with an average of 100+ students each session, contributing to the growth and success of BigPal's educational initiatives.

- Creating and deploying scalable and dependable machine learning pipelines, allowing the organization to handle and analyze massive amounts of data more effectively.- Enabling the timely delivery of machine learning models into production settings by using continuous integration and deployment (CI/CD) techniques.- Creating and carrying out A/B testing on machine learning models, which resulted in considerable improvements in accuracy and performance.- Working with cross-functional teams to find possibilities for process optimization and improvement, which resulted in a 30% reduction in model training time.Working with cross-functional teams to find opportunities for process optimization and improvement, resulting in a 20% decrease in operating expenses.- Developing monitoring and logging systems that enabled the company to discover and handle machine learning model issues in real time.Additional:- Led the Innovation team in developing one of Sabaoth's initial products focused on agricultural technology, from ideation to the creation of the first prototype.- Successfully coordinated a team of four members, achieving high success rates in our implementations and contributing to the company's innovation efforts.

• Investigate and fix reported software and system problems in both production and non-production settings.• Developing scripts and automation to improve development and release processes• Ensuring the performance, security, scalability, and performance of AWS production systems.

• Designed the overall system architecture for four natural language processing and data science services incorporated within the NKENNE mobile app.• Built machine translation models for low resource languages, expanding the reach of NKENNE's services to a more diverse user base. This system currently acts as a competitor to Google Translate for these specific low resource languages, leveraging Large Language Models (LLMs) for enhanced accuracy.• Conducted research and actively worked on building the first Text-to-Speech (TTS) system for a particular low resource language, making NKENNE's platform more inclusive and accessible.• Coordinated the entire Data team, from Data sourcers to Data annotators, ensuring a strong focus on Data quality. Led the team to achieve high-quality data annotations, which were crucial for the success of NKENNE's AI systems.

- I was able to lead about 15 students in a National Data Science Hackathon Organized by Data Science Nigeria.- The Hackathon was about building of a model capable of predicting users’ responses to marketing campaigns based on the features in the provided dataset by the sapa.com data engineer.- Out of over 1000 applicants for the hackathon, The least position to the highest postion of the students I tutored was 200 and 78 respectively.

Building an AI system for Fashion

• Leading the team to a thorough knowledge of the mathematics behind machine learning and how to apply it in reality, resulting in the successful implementation of numerous machine learning algorithms using Python.• Assisting intermediate and beginner-level club members with training and support in areas such as data analysis, data science, and deep learning model training.• Organizing and directing workshops and seminars targeted at enhancing club members' knowledge and abilities in the field of AI and machine learning.• Collaborating with other club members to initiate and carry out initiatives aimed at applying AI and machine learning to real-world challenges in the community.- I was able to lead about 25 Students in understanding the mathematics behind machine learning and hence giving them insights about Interpretable and Explanable machine learning.

IoT and Computer Vision Intern