About
A highly accomplished Machine Learning Engineer with over 4 years of experience, specializing in Natural Language Processing, Computer Vision, and traditional ML models. Expertly develops and deploys production-ready AI solutions, including conversational agents, advanced ETL pipelines, and robust cloud infrastructure (AWS/GCP, Kubernetes), achieving significant improvements in data quality, processing efficiency, and cost savings. Passionate about translating cutting-edge AI capabilities into practical, high-impact solutions that drive business transformation and enhance user experiences.
Work
Peepalytics
|Machine Learning Engineer
N/A, N/A, N/A
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Summary
At Peepalytics, I lead the development of AI-powered conversational agents, customer service voice agents, and automated ETL pipelines, enhancing data processing and customer interaction.
Highlights
Developed and deployed conversational agents and customer service voice agents, significantly improving customer interaction efficiency and satisfaction.
Designed and implemented automated ETL pipelines for data cleaning and processing, ensuring high data quality and streamlined workflows.
Applied expertise in Natural Language Processing and traditional Machine Learning models to solve complex data challenges and build robust AI solutions.
Collaborated cross-functionally to integrate AI solutions into existing systems, driving significant operational improvements and data accuracy.
Skoutwach
|Machine Learning Engineer (Part-Time)
N/A, N/A, N/A
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Summary
At Skoutwach, I developed and deployed state-of-the-art computer vision models for video analysis, optimizing data pipelines and cloud infrastructure for high-throughput applications.
Highlights
Developed and fine-tuned advanced computer vision models (SAM2, YOLO) for video analysis, increasing detection accuracy by 35% across challenging environments.
Implemented end-to-end custom training pipelines with data augmentation and hyperparameter optimization, reducing false positives by 28% while maintaining processing speed.
Built comprehensive RESTful backend endpoints using FastAPI to efficiently serve computer vision models at scale, incorporating caching mechanisms and optimized inference paths.
Architected a cloud deployment strategy integrating AWS Lambda with EC2, reducing cloud infrastructure costs by 30% through strategic batch processing and resource allocation optimization.
Designed and implemented advanced batching processes, leveraging parallel processing to optimize data pipeline throughput by 40% and significantly reduce latency.
HNG
|DevOps Engineer
N/A, N/A, N/A
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Summary
As a DevOps Engineer at HNG, I orchestrated CI/CD pipelines and managed server infrastructure, enhancing system observability, security, and deployment efficiency for critical applications.
Highlights
Developed CI/CD pipelines using GitHub Actions, automating testing and deployment to reduce release cycles from days to hours while maintaining code quality.
Managed server infrastructure across environments, implementing configuration management and infrastructure-as-code practices to ensure 99.9% uptime.
Established a comprehensive monitoring ecosystem with Prometheus, Grafana, and Alert Manager, reducing system incidents by 65% through proactive Slack notifications.
Configured Nginx as a reverse proxy with caching, load balancing, and SSL termination, improving application response times by 30% while enhancing security.
Provarex
|Machine Learning Engineer
N/A, N/A, N/A
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Summary
At Provarex, I developed an AI-powered conversational bot and robust backend infrastructure, leveraging NLP and image generation to streamline business planning and increase customer engagement.
Highlights
Created an AI-powered bot leveraging natural language processing and guided conversational flows, streamlining business planning and increasing customer engagement by 45%.
Built robust backend infrastructure using Flask, designing RESTful APIs and efficient database integration for seamless communication across frontend clients and AI backend services.
Integrated OpenAI API keys with custom prompt engineering techniques, implementing context management and multi-turn conversation handling to significantly improve user satisfaction scores.
Incorporated cutting-edge image generation models to transform text descriptions into visual business concepts, enhancing user comprehension and retention of complex frameworks.
Education
AltSchool Africa
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Diploma
Cloud Engineering
Federal University of Technology, Minna
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B.ENG
Mechanical Engineering
Languages
English
Yoruba
Certificates
Kubernetes Certified Associate (KCNA)
Issued By
Cloud Native Computing Foundation (CNCF)
Skills
Machine Learning
Python, scikit-learn, TensorFlow, PyTorch, Keras, Deep Learning, Traditional ML Models, Text Classification, Sentiment Analysis, Text Generation, Crowd Density Prediction, Classification.
Data Science
Pandas, NumPy, Jupyter Notebook, Data Cleaning, Data Processing, Automated ETL Pipelines.
Backend Development
Python, Flask, FastAPI, SQL, NoSQL, Redis, RESTful APIs.
MLOps/DevOps
Docker, Kubernetes, CI/CD (GitHub Actions), MLflow, Configuration Management, Infrastructure-as-Code, Monitoring (Prometheus, Grafana, Alert Manager), Nginx.
Cloud Engineering
AWS, Azure, GCP, Terraform, Serverless, AWS Lambda, EC2, Kubernetes.
Agentic Workflows
LangChain, Langgraph, Vector Databases, Prompt Engineering, Context Management, Multi-turn Conversation Handling.
Natural Language Processing (NLP)
Prompt Engineering, Text Classification, Sentiment Analysis, Text Generation, Conversational Agents, OpenAI API.
Computer Vision
SAM2, YOLO, Video Analysis, Detection Accuracy, Crowd Density Prediction, Image Generation Models.
Soft Skills
Communication, Problem Solving, Teamwork and Collaboration, Adaptability.