About
Highly innovative AI/ML Engineer with 2 years of hands-on experience specializing in designing, developing, and deploying intelligent healthcare and automation systems. Expert in building end-to-end machine learning pipelines, containerizing models, and implementing multi-agent AI solutions using LangChain and LangGraph across AWS Cloud and Azure. Passionate about leveraging advanced AI to create responsible, scalable, and human-centered solutions that significantly enhance healthcare delivery, patient engagement, and diagnostic workflows.
Project Experience
Abuja, Federal Capital Territory, Nigeria
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Summary
Developed a multi-agent architecture prototype for healthcare, enhancing patient triage and report summarization.
Highlights
Developed a multi-agent architecture for patient triage and report summarization using LangGraph and LangChain.
Designed structured agent workflows with LangGraph to optimize complex healthcare processes.
Increased agent collaboration accuracy by 30% through optimized context management, improving system reliability.
Abuja, Federal Capital Territory, Nigeria
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Summary
Engineered a hospital readmission prediction ML system to forecast patient readmission probability, optimizing hospital resource allocation and patient management.
Highlights
Built a predictive model to estimate patient readmission probability within 30 days, achieving 87% accuracy and an AUC of 0.91.
Designed and deployed a robust REST API with FastAPI via AWS ECS and Fargate for scalable and reliable access.
Automated data ingestion processes, reducing manual workload and cutting prediction time by 30%.
Abuja, Federal Capital Territory, Nigeria
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Summary
Developed an intelligent voice assistant that streamlined patient communication and scheduling for clinical operations.
Highlights
Built an intelligent voice assistant for patient communication and scheduling, leveraging OpenAI GPT API and ElevenLabs.
Integrated ASR and TTS capabilities with WhatsApp Cloud API via SendPulse, enabling natural conversations.
Improved patient response rate by 65% and reduced front-desk workload by 50%.
Certificates
Skills
Programming & Tools
Python, SQL, JavaScript, Git, Jupyter, VSCode.
Machine Learning
Scikit-learn, TensorFlow, PyTorch, OpenCV, Transformers.
MLOps & Deployment
Docker, FastAPI, AWS ECS, AWS Fargate, Hugging Face, CI/CD.
Generative AI & Agent Systems
LangChain, LangGraph, RAG Systems, Multi-Agent Design, OpenAI GPT API, ElevenLabs, Twilio, WhatsApp Cloud API, ASR, TTS.
Data Engineering
Pandas, NumPy, Airflow, Kafka, Snowflake, AWS Redshift.
Cloud Platforms
AWS Cloud, Microsoft Azure.
AI Ethics & Responsible AI
AI Safety, Fairness, Transparency Principles.
Interests
AI Research & Application
AI for Ophthalmology, Predictive Health Systems, Multi-Agent AI in Clinical Decision Support.