Philipp Blandfort
Verified Expert in Engineering
Artificial Intelligence (AI) Developer
Philipp completed a PhD in Artificial Intelligence and can look back to 4 years of research experience plus two years of freelancing. His work included text analysis, information extraction from text and images, user behavior analysis, and the creation of datasets. He is performant in interdisciplinary teams and is enthusiastic about building AI systems that help us overcome real-world issues and move in new directions.
Portfolio
Experience
Availability
Preferred Environment
PyTorch, Docker, Git, Python, Linux
The most amazing...
...software I've developed is a Python-based toolkit that uses NLP to monitor trends in computer science research from publication metadata.
Work Experience
Data Scientist
Freelance
- Developed a software package to extract information from scanned documents.
- Helped to bring code to production by debugging and optimizing performance.
- Developed a web application to analyze research trends in computer science.
- Designed and implemented two machine learning pipelines in the bioinformatics domain (NLP and knowledge graph).
Visiting Scholar
Columbia University
- Developed an annotation system to annotate social media data.
- Extracted various concepts from tweets with images, using computer vision and natural language processing.
- Discussed with researchers from various backgrounds and coordinated the team.
Student Assistant
digipen technologies GmbH
- Developed an algorithm in Java for interpolating and rendering handwriting.
- Built a dataset of scanned documents for handwriting recognition.
- Ran experiments on handwriting recognition in Python.
Experience
Subjective Image Captioning
To this end, we ran a crowdsourcing study to analyze how humans naturally caption images and developed machine learning methods for generating captions such as "Cute dog in a nice park."
Multimodal Social Media Analysis
Python-based Organizer
https://gitlab.com/blandfort/organizerInformation Extraction From Documents
ML Pipeline for Biomarker Discovery
Education
Ph.D. in Cognitive Science
TU Kaiserslautern and DFKI - Kaiserslautern, Germany
Master of Science Degree in Mathematics
TU Kaiserslautern - Kaiserslautern, Germany
Bachelor of Science Degree in Mathematics
TU Kaiserslautern - Kaiserslautern, Germany
Skills
Libraries/APIs
Scikit-learn, NumPy, Natural Language Toolkit (NLTK), Twitter API, PyTorch, TensorFlow, Matplotlib, SciPy
Tools
Git, GitLab
Languages
Python, SQL, PHP, Java
Platforms
Jupyter Notebook, Linux, Docker, Google Cloud Platform (GCP), Amazon Web Services (AWS)
Paradigms
Data Science, Functional Programming, Object-oriented Programming (OOP)
Storage
MySQL, PostgreSQL, Elasticsearch
Frameworks
Flask
Other
Artificial Intelligence (AI), Research, Natural Language Processing (NLP), Computer Vision, Deep Learning, Machine Learning, Algorithms, GPT, Generative Pre-trained Transformers (GPT), Teamwork, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNNs), OCR, Web Scraping, Crowdsourcing, Neural Networks, Mentorship & Coaching, Annotations, Knowledge Graphs
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