David Onaiyekan - ML Engineer

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 (Native), German (Advanced) .

Q: How many years of experience does David have?

David has at least 3 years of experience. During this time, David has worked in at least 2 different roles and for 3 different companies . The average length of individual experience is 1 year and 10 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 Research Intern at Pattern Recognition Lab .

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

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

Q: Which industries is David most experienced in?

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

Q: Which business areas is David most experienced in?

David is most experienced in business areas like Information Technology , Procurement , and Research and Development . David also has some experience in Quality Assurance .

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

Check rate

Experience

Jun 2025 - Jan 2026

8 months

Hybrid

Research Intern

Pattern Recognition Lab

Spearheaded the integration of a custom Transformer-based encoder into the AFFGANwriting pipeline, replacing the legacy VGG19 architecture to capture richer, high-fidelity writer-style representations.
Boosted user-study pick-rates by 40%, demonstrating a significant leap in the perceptual quality and realism of the generated handwriting compared to the baseline model.
Enhanced OCR performance by 20% by implementing a teacher-student framework that leveraged a TrOCR benchmark model for auxiliary training alignment

Dec 2023 - Jan 2025

1 year 2 months

Remote

Research Intern

FAPS Lab

Collaborated within a research team to execute systematic data cleaning using Cleanlab Studio, identifying and correcting label noise across thousands of industrial images to establish a high-fidelity data baseline
Designed and engineered a Semi-Supervised Learning (SSL) pipeline utilizing the FixMatch algorithm integrated with a DINOv2-L backbone, successfully leveraging unlabeled coil-winding datasets to mitigate data scarcity constraints.
Achieved a 90% macro-average F1 score on multi-label defect classification, optimizing training strategy trade-offs to ensure robust generalization across diverse defect categories.

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.

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Education, Manufacturing, and Information Technology.

Education

Manufacturing

Information Technology

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Information Technology, Procurement, Research and Development, and Quality Assurance.

Information Technology

Procurement

Research and Development

Quality Assurance

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

Native

German

Advanced

Education

Nov 2022 - Dec 2025

Friedrich-Alexander-Universität Erlangen

Master of Science · Artificial Intelligence · Erlangen, Germany · 2.3

Mar 2014 - Nov 2018

Federal University of Technology

Bachelor of Technology · Computer Science · Minna, Nigeria · 1.6

Certifications & licenses

Building RAG Agents With LLMs

NVIDIA

GitLab CI/CD And DevOps For Beginners

Introduction To AWS

Statistics

Experience

Total positions 3

Experience in Education 2.5 y

Avg length 1 y 4 m

Longest experience 2 y 3 m

Global Experience

Countries worked in 1 (Germany)

Primary country Germany

Expertise

Recent roles Research Intern, IT HiWi

Main industries Education, Manufacturing, Information Technology

Main business areas Information Technology, Procurement, Research and Development

Qualifications

Highest degree Master

Certifications earned 3

Profile

Created

December 2025

Last Update

June 2026

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Frequently asked questions

Have questions? Find more information here.

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 (Native), German (Advanced).

How many years of experience does David have?

David has at least 3 years of experience. During this time, David has worked in at least 2 different roles and for 3 different companies. The average length of individual experience is 1 year and 10 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: Research Intern, IT HiWi.

What is David's latest experience?

David's most recent position is Research Intern at Pattern Recognition Lab.

What companies has David worked for in recent years?

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

Which industries is David most experienced in?

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

Which business areas is David most experienced in?

David is most experienced in business areas like Information Technology, Procurement, and Research and Development. David also has some experience in Quality Assurance.

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 part-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.