David O.
IT Student Assistant
Experience
Jun 2023 - Sep 2025
2 years 4 monthsErlangen, Germany
IT Student Assistant
FAU- Department of Chemistry and Pharmacy
- Secured and streamlined network infrastructure (LAN, WAN, VPN, firewalls, routers, switches), improving connectivity, reducing latency by 30%, and enhancing business continuity.
- Administered Active Directory and Group Policy Objects (GPO), managing user accounts, enforcing role-based access, and improving compliance with internal security policies.
- Provided Tier 1–3 technical support to end-users, resolving hardware, software, and network issues within SLA timelines, achieving a 95% user satisfaction rating.
- Conducted IT audits, compliance checks, and vulnerability assessments, ensuring 100% adherence to internal policies and other regulatory requirements.
- Managed IT procurement, asset tracking, and lifecycle management.
- Coordinated with third-party vendors and service providers for escalated technical issues, maintaining 99% SLA compliance and ensuring uninterrupted business operations.
- Implemented network segmentation, VPN access controls, and MFA authentication, significantly improving security posture for remote and hybrid work environments.
Project
Handwriting Generation (AFFGANwriting Improvement)
- Redesigned the handwriting style encoder using a custom transformer model, improving writing realism and increasing user study pick-rates by 40%.
- Developed an interactive web application using Streamlit, enabling users to input text to generate and experiment with handwriting styles dynamically.
Project
Retrieval-Augmented Generation (RAG) Chatbot with Nvidia
- Designed and implemented an intelligent RAG chatbot leveraging NVIDIA LLaMA models integrated with FastAPI and Gradio for interactive document-based conversations.
- Engineered a long-term conversational context storage system using a database layer, enabling the chatbot to maintain continuity in discussions over uploaded PDF and HTML documents across sessions.
- Containerized the system with Docker to support reliable deployment and scalability.
Project
Semi-Supervised Learning for Image Classification in Visual Inspection of Wound Coils
- Implemented the FixMatch semi-supervised learning algorithm with the Dinov2L backbone to accurately classify defects in coil winding datasets, achieving a macro-average F1 score of 90% on the test set.
- Conducted hyperparameter optimization using Optuna, identifying optimal configurations to maximize model performance.
- Delivered comprehensive, reproducible documentation and code, publicly available on GitHub.
Summary
Machine Learning and AI Engineer with hands-on experience designing, training, and deploying deep learning models using Python and PyTorch. I am skilled in building end-to-end ML pipelines, including data preprocessing, feature engineering, model training, hyperparameter tuning (Optuna), and performance optimization. Proficient in developing APIs, deploying models to cloud environments (AWS), and monitoring performance. Strong foundation in software engineering, algorithm design, and problem-solving, with a focus on delivering accurate, efficient, and maintainable AI systems.
Languages
Yoruba
NativeEnglish
AdvancedGerman
ElementaryEducation
Oct 2023 - Dec 2025
Friedrich-Alexander-Universität Erlangen
Master of Science, Artificial Intelligence · Artificial Intelligence · Erlangen, Germany · 2.5
Oct 2013 - Nov 2018
Federal University of Technology
Bachelor of Technology, Computer Science · Computer Science · Minna, Nigeria
Certifications & licenses
Building RAG Agents With LLMs
NVIDIA
GitLab CI/CD And DevOps For Beginners
Introduction To AWS
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