AEArinze Eze
@arinzeeze
AI Engineer specializing in machine learning and chatbot development.
United StatesWhat I'm looking for
I am an AI Engineer with extensive experience in developing innovative machine learning solutions. Currently, I work at Frilup, where I have successfully developed an AI chatbot using OpenAI and Hugging Face technologies. My expertise in prompt engineering and intent recognition has enabled me to create domain-specific chatbots that enhance customer engagement and deliver personalized interactions.
Previously, I served as a Machine Learning Engineer at Gradient Consulting Limited in London, where I developed a robust MLOps repository for data scientists, significantly reducing ML experiment time. My work included deploying ML pipelines on AWS SageMaker and implementing CI/CD pipelines that improved deployment reliability. I also have a strong background in data science, having worked at Kora Technologies, where I developed NLP models and optimized predictive models for fraud detection.
Experience
Work history, roles, and key accomplishments
AI Engineer
FRILUP
May 2024 - Present (1 year)
Developed an AI chatbot using OpenAI and Hugging Face APIs, integrating transformer models for task-specific responses. Enhanced customer engagement through domain-specific chatbots and optimized LLMs with prompt engineering techniques. Designed a Django backend and Flutter frontend for seamless user interaction.
GLMachine Learning Engineer
GRADIENT CONSULTING LIMITED
Jan 2022 - Apr 2024 (2 years 3 months)
Developed an MLOps repository for data scientists, enabling efficient model training and monitoring. Deployed ML pipelines on AWS SageMaker and implemented a RESTful API using FastAPI for model inferences. Automated scraping for personalized phishing awareness campaigns.
KTData Scientist
KORA TECHNOLOGIES
Jun 2021 - Dec 2022 (1 year 6 months)
Developed NLP models for sentiment analysis and text classification, achieving high accuracy. Optimized fraud detection models and designed end-to-end ML pipelines to enhance customer experience. Utilized AWS Lambda for data automation and Apache Spark for large dataset processing.
Education
Degrees, certifications, and relevant coursework
Covenant University
Bachelor of Engineering, Electrical & Electronic Engineering
UWUniversity of South Wales
Master of Science, Business Administration with Aviation
Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
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