Olumide Olowu

Develops and deploys end-to-end machine learning models and AI tools to solve real-world problems and enhance system performance.

• Architected and deployed end-to-end machine learning models and AI tools, enhancing system performance and addressing complex real-world challenges.
• Designed and integrated intelligent algorithms into existing APIs, optimizing AI application functionalities and scalability.
• Built and implemented automated data collection tools, significantly improving data pipeline quality and efficiency.
• Conducted in-depth analysis of large datasets, extracting critical insights to improve model accuracy and inform data-driven decision-making.
• Ensured adherence to ethical AI practices and data protection policies, contributing to the development of proprietary intellectual property.

Collects, analyzes, and interprets large datasets to extract insights, drive data-informed decisions, and enhance operational efficiency.

• Analyzed and interpreted large datasets to extract actionable insights, directly informing strategic decisions and enhancing business outcomes.
• Designed and implemented robust data models, algorithms, and AI tools, solving critical business problems and boosting operational efficiency.
• Developed and deployed custom AI tools, integrating them with scalable data pipelines to enable intelligent automation.
• Created interactive visualizations and dashboards, effectively communicating complex data findings to diverse, non-technical stakeholders.
• Ensured high data quality and maintained adherence to best practices in data management, governance, and compliance standards.

Delivers custom NLP and Computer Vision solutions, implementing state-of-the-art machine learning algorithms for diverse client needs.

• Delivered bespoke NLP and Computer Vision solutions using Python, TensorFlow, and PyTorch, implementing state-of-the-art machine learning algorithms for diverse client requirements.
• Developed advanced solutions for text classification, sentiment analysis, object detection, and image segmentation, exceeding client expectations and achieving optimal model performance.
• Integrated Retrieval-Augmented Generation (RAG) and fine-tuned Large Language Models (LLMs), enhancing information retrieval and delivering context-aware outputs.
• Consistently delivered projects on schedule, significantly improving client satisfaction and securing repeat business opportunities.

Spearheaded the development of intelligent customer chatbots, optimizing performance and ensuring secure deployment on AWS.

• Spearheaded the development of intelligent customer chatbots, leveraging NLP models for intent recognition, entity extraction, and sentiment analysis to enhance chatbot responsiveness and accuracy.
• Led a cross-functional team in designing conversational flows and incorporating business logic, ensuring seamless user experiences.
• Built and deployed machine learning models using TensorFlow, Scikit-learn, and NLTK, optimizing performance with caching and scaling strategies on AWS.
• Integrated chatbot models into full-stack applications, deploying React-based UI and Flask/Django APIs on AWS EC2 with secure HTTPS/SSL communication.
• Oversaw Next.js website deployment via AWS Amplify, optimizing performance with CDN caching and automatic scaling for high traffic.

Analyzed passenger data and developed a recommendation system for personalized travel offers, enhancing customer experience.

• Analyzed passenger data and developed a recommendation system for personalized travel offers.
• Collaborated with data analysts to identify key features and segments.
• Utilized machine learning techniques to create a recommendation engine that enhanced customer experience and increased revenue.

Analyzed customer behavior data to provide marketing insights and developed predictive models to optimize targeting.

• Analyzed customer behavior data to derive actionable insights for marketing strategies.
• Collaborated with cross-functional teams to deliver data-driven recommendations.
• Developed predictive models using scikit-learn to optimize customer targeting and improve campaign effectiveness.

Conducted data preprocessing and built machine-learning models to predict customer churn, contributing to system deployment.

• Conducted data preprocessing and built machine-learning models to predict customer churn.
• Collaborated with data engineers to ensure data quality and availability.
• Utilized Python and scikit-learn to develop predictive models and contributed to the deployment of a customer churn prediction system.

Designed and deployed a sentiment analysis bot and developed an ID reader, significantly reducing manual data processing time.

• Designed and deployed a sentiment analysis bot with an 85% accuracy rate, enabling real-time customer feedback analysis.
• Developed an ID reader to extract key information from scanned documents, automating data extraction processes.
• Reduced manual data processing time by 30%, significantly contributing to operational efficiency.

Developed a sophisticated trading bot and object detection models, improving accuracy and driving profitability.

• Developed a sophisticated trading bot utilizing OHLC data and machine learning algorithms to identify trends and execute profitable trades.
• Built object detection models with TensorFlow and PyTorch, enhancing image classification accuracy across various applications.
• Collaborated cross-functionally to deliver ML solutions, ensuring seamless model integration and providing comprehensive documentation and post-deployment support.
• Increased trading bot accuracy by 15%, directly driving higher profitability and enhancing user trust.