AI/ML Engineer | Data Scientist specializing in MLOps, Cloud Infrastructure & LLMs

GitHub: github.com/austinLorenzMccoy | LinkedIn: augustine-chibueze-c | DagsHub: dagshub.com/austinLorenzMccoy

AI/ML Engineer with over 3 years of experience designing, deploying, and scaling machine learning systems in production environments. Proficient in Python, Docker, Kubernetes, and AWS, with a strong focus on MLOps pipelines, CI/CD automation, and cloud-based infrastructure. Adept at transforming data science models into robust, enterprise-grade solutions, with expertise in Airflow, MLflow, and API integrations. Passionate about building scalable AI systems and delivering business value through technical innovation.

May 2025 – Present

• Designed MLOps pipelines for LLMs, integrating LangChain, FAISS, and OpenAI APIs for scalable document processing.
• Deployed production-grade AI services using Python, Docker, and Kubernetes on AWS, achieving 99.9% uptime.
• Automated CI/CD workflows with GitHub Actions, reducing deployment cycles by 25%.
• Collaborated with data scientists to productionize models, ensuring auditability, versioning, and data security.
• Developed API integrations for cloud systems, enhancing client accessibility.

Oct 2023 – Nov 2024

• Built end-to-end ML systems for retail analytics using TensorFlow, Scikit-learn, and Airflow.
• Engineered scalable data pipelines with MLflow and DVC, optimizing training and inference.
• Managed Linux-based cloud environments (AWS, GCP), improving reliability by 20%.
• Implemented RAG architectures and vector database integrations (MongoDB, FAISS).
• Supported proof-of-concept ML systems, facilitating client requirement gathering.

2024

• Led development of a Llama 3.2-powered chatbot, deployed on AWS with Kubernetes.
• Designed data pipelines with Airflow for robust model performance and monitoring.

Apr 2020 – Oct 2023

• Developed Python-based data pipelines for audience analysis, driving 30% engagement growth.
• Automated content generation using LLMs, integrating APIs for seamless processing.

• Master of Information Technology (AI Specialization)
  Miva Open University (Sep 2026, In Progress)
• B.Sc. Statistics
  University of Ibadan (2014 – 2018)
• Diploma in Statistics
  Yaba College of Technology (2011 – 2013)
• Foundation of Generative AI Nanodegree (2025)
• AWS Certified Cloud Practitioner (2023)
• Google Data Analytics (2022)
• WorldQuant University Applied Data Science Lab (2023)
• Agentic AI Engineer Training Program (2025)

• Programming: Python, SQL, R
• ML & MLOps: TensorFlow, Scikit-learn, MLflow, DVC, Airflow, RAG
• Cloud & DevOps: AWS, Google Cloud, Docker, Kubernetes, Git, GitHub CI/CD, Linux Administration
• Data Tools: Pandas, NumPy, PostgreSQL, MongoDB, FAISS, REST APIs
• Other: LangChain, OpenAI API, FastAPI, Streamlit, Data Pipeline Design

• Community Lead – DataNerds
• President – NYSC Kwara Statistical Analysis Team (2018)
• PRO – FASSA UI
• Member – Professional Statistician Society of Nigeria (PSSN)

I'm always interested in collaborating on innovative ML/AI projects or discussing the latest developments in the field.

• 📧 Email: chibuezeaugustine23@gmail.com
• 💼 LinkedIn: augustine-chibueze-c
• 🌐 DagsHub: dagshub.com/austinLorenzMccoy

"Data is not just data. It's a story waiting to be told."