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Ali H.

Ali H.

AI/ML Engineer, Universität Koblenz (document processing and LLM fine-tuning)

Germany flagKoblenz, Germany

Key Skills

Software

Other
AWS SageMakerAWS SageMaker

Top Subject Matter

Document processing
Ocr Domain Expertise
document AI

Top Data Types

DocumentDocument
ImageImage

Top Task Types

Fine-tuningFine-tuning
Object DetectionObject Detection
ClassificationClassification
TranscriptionTranscription

Freelancer Overview

AI/ML Engineer, Universität Koblenz (document processing and LLM fine-tuning). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, OpenCV, and AWS SageMaker. Education includes Master of Science, Universität Koblenz (2025) and Bachelor of Science, National University of Sciences and Technology (NUST) (2022). AI-training focus includes data types such as Document and Image and labeling workflows including Fine-tuning, Object Detection, and Classification.

Labeling Experience

AWS SageMaker

AI/ML Engineer - Universität Koblenz

AWS SageMakerAWS SageMakerImageImageClassificationClassificationObject DetectionObject Detection

Developed AI and machine learning solutions for document processing using Python, OpenCV, and PyTorch to improve extraction accuracy. Built computer vision pipelines for image preprocessing, object detection, and OCR using Tesseract and EasyOCR to support document understanding workflows. Fine-tuned and deployed document-focused LLMs while applying MLOps practices for reliable production delivery. • Implemented OCR and computer vision preprocessing pipelines • Fine-tuned GPT-4 and Claude for information extraction • Built document classification and clustering models • Deployed models using MLflow, Docker, and Kubernetes

2025 - Present

AI/ML Engineer, Universität Koblenz (document processing and LLM fine-tuning)

OtherDocumentDocumentFine-tuningFine-tuning

Worked on document understanding and information extraction by fine-tuning LLMs for downstream document analysis tasks. Built computer vision and OCR pipelines to improve extraction quality from document images. Prepared and analyzed large document datasets to support feature engineering and model training. • Fine-tuned GPT-4/Claude for document understanding and information extraction • Implemented OCR using Tesseract and EasyOCR • Classified and clustered document types using TensorFlow and Scikit-Learn • Deployed models with MLflow, Docker, and Kubernetes for production use

2025 - Present
AWS SageMaker

Freelance AI/ML Engineer - Upwork

AWS SageMakerAWS SageMakerDocumentDocumentClassificationClassificationTranscriptionTranscription

Delivered document processing solutions for multiple clients using Python, OpenCV, and PyTorch while optimizing for accuracy and customer satisfaction. Implemented OCR pipelines using Tesseract and AWS Textract to improve extraction performance for client document sets. Deployed classification and document analysis models with Docker and Kubernetes and ran MLOps workflows using GitLab CI. • Built OCR and document processing pipelines • Fine-tuned LLMs for document classification • Containerized and deployed models on Kubernetes • Managed CI/CD with GitLab CI for MLOps delivery

2024 - 2026

Freelance AI/ML Engineer, Upwork (client document processing solutions)

OtherDocumentDocumentFine-tuningFine-tuning

Delivered document processing solutions for multiple clients by building OCR and document classification pipelines. Implemented OCR pipelines using both traditional and cloud-based approaches and tuned LLMs to reduce manual work. Managed deployment and CI/CD for model releases using containerization and automation. • Implemented OCR pipelines with Tesseract and AWS Textract • Fine-tuned LLMs for document classification to reduce manual effort • Deployed models using Docker and Kubernetes • Used GitLab CI for MLOps pipelines and automated deployments

2024 - 2026

Machine Learning Engineer, Veroke (document analysis model development)

DocumentDocumentObject DetectionObject Detection

Developed computer vision models for document analysis and improved model accuracy through data preparation. Built dataset preparation workflows using common data tools and deployed models to cloud infrastructure. Implemented CI/CD to support repeatable model training and deployment. • Built computer vision models in PyTorch/OpenCV for document analysis • Prepared datasets using Pandas and NumPy for better performance • Deployed models on AWS with Docker and Kubernetes • Implemented GitLab CI for automated CI/CD pipelines

2023 - 2024

Education

U

Universität Koblenz

Master of Science, Web and Data Science

Master of Science
2023 - 2025
N

National University of Sciences and Technology (NUST)

Bachelor of Science, Computer Science

Bachelor of Science
2018 - 2022

Work History

U

Universität Koblenz

AI/ML Engineer

Koblenz
2025 - Present
U

Upwork

Freelance AI/ML Engineer

Remote
2024 - 2026