Machine Learning Engineer

Favour I. Olowofeso

************@*****.***

347-***-**** LinkedIn GitHub Portfolio

**** ****** ***, *********, ** 44115, United States. Education

Cleveland State University Master of Science, Computer Science Cleveland, OH

Afe Babalola University Bachelor of Science, Computer Science Ekiti, Nigeria

Professional Experience

OlaReport Inc. Machine Learning Engineer

July 2023 - Present

Remote, UK

● Working on resolving critical data imbalance issues within student performance datasets, specifically addressing the underrepresentation.

● Testing and deploying of supervised and unsupervised machine learning models. Incorporating advanced class weight adjustments to effectively counteract data imbalance.

● Collaborating with other members of the ML team to integrate machine learning models into existing web applications. Cleveland State University. Quantum Research

March 2024 - May 2025

Ohio, USA

● Analyzing Diabetic Patients during Covid-19 Pandemic, using a machine learning model to analyze and predict diabetes rate in different age groups using various supervised learning algorithms, achieving high accuracy in analysis and prediction.

● Performed a Regression Analysis on CH4 Emissions and Temperature Changes and how it affects the agricultural harvest of India and temperature increase/decrease through the years

● Quantum Dog Breed Classifier: Built a Quantum Neural Network QNN with 20,000+ dog images using Tensor flow, Qiskit and pennylane. Gifted and Talented Academy. Volunteer/Full Stack Development Lead September 2019 - Present

Remote, Nigeria

● Spearheaded the full-stack development of the schools website utilizing Flask and HTML/CSS, leading to the automation of student result uploads. This innovation reduced manual updates by 75%, significantly decreasing teacher workload and minimizing data entry errors.

● Implemented critical backend optimizations and infrastructure improvements that boosted website uptime to 99%, significantly enhancing platform reliability and ensuring consistent access for over 500 daily users.

● Managing the entire system, from requirements optimizations to ongoing maintenance.

● I train elementary to high school students coding class Projects

HealthBot. Link

● Architected and led the full-stack development of the HEALTBOT initiative, an AI-driven tool strategically designed to optimize complex patient diagnosis workflows. This architectural approach resulted in a 40% reduction in patient wait times by fundamentally streamlining manual procedures and mitigating consultation delays.

● Structured a highly scalable backend using Python, complemented by Redis caching strategies, achieving an exceptional average request latency of just 0.8 seconds. This robust backend infrastructure significantly enhanced clinical efficiency in test cases, showing a 25% decrease during peak hours for physicians after system was used

Reddit Web Scrapper. Link

● Designed and implemented a Flask-based application, by seamlessly integrating with the Reddit API to automate sophisticated data scraping and intelligently categorize posts by relevant keywords and subreddits. This strategic data engineering initiative significantly enhanced content organization and retrieval efficiency.

● Implemented advanced filtering algorithms, achieving a 95% relevance accuracy for curated posts.

● Improved the quality of information and reduced the time spent sifting through irrelevant content 70% reduction in daily browse time for users, enabling more targeted and efficient research.

Perfume Query and Pairing App.

● Designed and developed a comprehensive web application, serving as a centralized hub for perfume-related information, capable of scraping perfume queries, providing recent blog posts, and generating 10+ complementary perfume pairings.

● Implemented sophisticated filtering algorithms to ensure highly accurate content retrieval and deliver personalized pairing suggestions, directly enhancing user satisfaction.

● Focused on intuitive UI/UX, streamlining the discovery process for users and significantly enhancing their overall experience by centralizing previously disparate information.

Technical Skills & Certificates

● Front-End: React, HTML5/CSS3, JavaScript, TypeScript; Back-End: Python (Flask, FastAPI), Java, REST APIs.

● Databases: MySQL, PostgreSQL, MongoDB; Tools: AWS, Docker, Git, Redis, PRAW API.

● Certificates: Python Programming, Cyber Security, Software Engineering from JP Morgan

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