David Onaiyekan

Q: Where is David based?

David is based in Erlangen, Germany and can operate in on-site , hybrid , and remote work models.

Q: What languages does David speak?

David speaks the following languages: English (Advanced), German (Elementary) .

Q: How many years of experience does David have?

David has at least 2 years of experience. During this time, David has worked in at least 1 role and for 1 company . The average length of individual experience is 2 years and 3 months . Note that David may not have shared all experience and actually has more experience.

Q: What is David's latest experience?

David's most recent position is IT HiWi at FAU - Department of Chemistry and Pharmacy .

Q: What companies has David worked for in recent years?

In recent years, David has worked for FAU - Department of Chemistry and Pharmacy .

Q: Which industries is David most experienced in?

David is most experienced in industries like Education , Information Technology (IT) , and Manufacturing .

Q: Which business areas is David most experienced in?

David is most experienced in business areas like Information Technology (IT) , Procurement and Purchasing , and Product Development . David also has some experience in Quality Assurance (QA) and Research and Development (R&D) .

Q: What is David's education?

David holds a Master in Artificial Intelligence from Friedrich-Alexander-Universität Erlangen and a Bachelor in Computer Science from Federal University of Technology .

Q: Does David have any certificates?

David has 3 certificates . These include: Building RAG Agents With LLMs , GitLab CI/CD And DevOps For Beginners , and Introduction To AWS .

Recommended expert

Erlangen, Germany

Experience

Jun 2023 - Sep 2025

2 years 4 months

Erlangen, Germany

IT HiWi

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 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.

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.

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.

Semi-Supervised Learning for Image Classification in Visual Inspection of Wound Coils

Implemented the FixMatch semi-supervised learning (SSL) 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.

Skills

Machine Learning & Deep Learning
Cloud Deployment (Aws)
Monitoring And Reproducibility Best Practices
Computer Vision, Image Processing
Llms & Prompt Engineering (Gpt, Llama, Rag, Langchain)
Data Engineering & Databases
Generative Ai (Gans, Diffusion Models)
Model Training, Evaluation & Performance Optimization
Data Preprocessing, Augmentation, Feature Engineering
Hyperparameter Tuning (Optuna), Model Validation
Sql (Mysql, Postgresql), Mongodb
Experiment Tracking & Versioning (Tensorboard)
Python, Node.js, Ejs
Html, Css, Javascript
Version Control (Git)
Pytorch, Tensorflow
Opencv
Hugging Face Transformers
Vector Databases (Faiss)
Numpy, Pandas, Matplotlib, Seaborn
Fastapi For Model Serving
Docker, Ci/cd Pipelines
Collaboration In Cross-functional Teams
Adaptability To New Tools & Emerging Ai Technologies
Clear Communication Of Technical Concepts
High Focus On Quality, Accuracy & Reproducibility

Languages

English

Advanced

German

Elementary

Education

Friedrich-Alexander-Universität Erlangen

Master of Science · Artificial Intelligence · Erlangen, Germany

Federal University of Technology

Bachelor of Technology · Computer Science · Minna, Nigeria

Certifications & licenses

Building RAG Agents With LLMs

NVIDIA

GitLab CI/CD And DevOps For Beginners

Introduction To AWS

Profile

Created

December 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is David based?

David is based in Erlangen, Germany and can operate in on-site, hybrid, and remote work models.

What languages does David speak?

David speaks the following languages: English (Advanced), German (Elementary).

How many years of experience does David have?

David has at least 2 years of experience. During this time, David has worked in at least 1 role and for 1 company. The average length of individual experience is 2 years and 3 months. Note that David may not have shared all experience and actually has more experience.

What roles would David be best suited for?

Based on recent experience, David would be well-suited for roles such as: IT HiWi, Handwriting Generation (AFFGANwriting Improvement), Retrieval-Augmented Generation (RAG) Chatbot with Nvidia.

What is David's latest experience?

David's most recent position is IT HiWi at FAU - Department of Chemistry and Pharmacy.

What companies has David worked for in recent years?

In recent years, David has worked for FAU - Department of Chemistry and Pharmacy.

Which industries is David most experienced in?

David is most experienced in industries like Education, Information Technology (IT), and Manufacturing.

Which business areas is David most experienced in?

David is most experienced in business areas like Information Technology (IT), Procurement and Purchasing, and Product Development. David also has some experience in Quality Assurance (QA) and Research and Development (R&D).

What is David's education?

David holds a Master in Artificial Intelligence from Friedrich-Alexander-Universität Erlangen and a Bachelor in Computer Science from Federal University of Technology.

Does David have any certificates?

David has 3 certificates. These include: Building RAG Agents With LLMs, GitLab CI/CD And DevOps For Beginners, and Introduction To AWS.

What is the availability of David?

David is immediately available full-time for suitable projects.

What is the rate of David?

David's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.