Matthias Denecke
Verified Expert in Engineering
Natural Language Processing (NLP) Developer
New York, NY, United States
Toptal member since January 8, 2020
Matthias is an analytical, highly adaptable computer scientist with extensive experience in machine learning, artificial intelligence, and natural language processing. He is skilled in providing guidance to resolve complex technical challenges. As a technical lead, he has a track record of success architecting, developing, and deploying commercial solutions using artificial intelligence.
Portfolio
Experience
- Natural Language Processing (NLP) - 20 years
- Generative Pre-trained Transformers (GPT) - 20 years
- Artificial Neural Networks (ANN) - 15 years
- Machine Learning - 15 years
- Python - 10 years
- PyTorch - 7 years
- Deep Learning - 3 years
- TensorFlow - 3 years
Preferred Environment
Speech Recognition, Scikit-learn, Keras, TensorFlow, Python, C++, Linux, Windows
The most amazing...
...project I've developed is a technical manual application guiding field service technicians through complex procedures by voice control only.
Work Experience
Data Scientist
ApogeeCare
- Created statistical analysis for treatment analysis.
- Developed scripts running statistical analysis and generating reports.
- Visualized treatment effectiveness along multiple dimensions.
AI Engineer
Servamind Inc.
- Fine-tuned and evaluated LLMs on task-specific datasets.
- Integrated LLMs with Servamind's proprietary hyperdimensional vector encoding.
- Compared the baseline against Servamind's representations.
Principal AI Evaluation & Governance Architect
ORDAOS, INC.
- Engineered advanced Transformer models and Deep Neural Networks to parse complex molecular datasets, utilizing rigorous out-of-distribution (OOD) stress-testing to validate model robustness.
- Developed graph-based machine learning models based on scikit-learn to predict protein properties.
- Architected and deployed standardized enterprise AI evaluation frameworks and data schemas, automating behavioral assessment across distributed multi-model and agentic pipelines (LangGraph/MCP).
Senior AI Safety & Regulatory Compliance Lead
Pfizer - PGS Operations Insights
- Translated complex, unstructured operational incident data into automated regulatory risk constraints and compliance KPIs for C-suite governance decisions.
- Built real-time, automated policy monitoring tools to enforce operational compliance thresholds, systematically reducing corporate risk and speed-to-decision metrics for internal stakeholders.
- Developed a REST-API web app back-end to access topic models and the incident database.
Consultant (freelance)
Nano, Ltd.
- Evaluated various deep learning models for natural language understanding.
- Developed deep learning approaches for named entity recognition, text summarization, and document retrieval.
- Integrated trained deep learning models in Flask-based web applications.
Lead Developer (freelance)
Kextil, LLC.
- Architected and implemented an app running on Windows, iOS, and Android, allowing field technicians in hands-busy, eyes-busy situations to interact with complex procedures and workflows through voice only.
- Conducted user tests in the field and improved voice interaction based on user feedback.
- Showed reduced task completion times by almost 20% when using the app.
- Maintained a cross-platform code base by separating application logic from UI and implemented UI using platform-specific APIs (Java, C++, Objective-C).
- Used standard collaborative tools such as Bitbucket, Git, and Jira for progress tracking and project management.
Consultant (freelance)
Ford Motor Company
- Designed a voice-operated system for in-car control of infotainment systems and seats.
- Developed speech recognition and natural language understanding resources.
- Evaluated systems through user studies and improved performance.
Research Associate
NTT Communication Science Laboratories
- Implemented a Restricted Domain Question Answering System based on NTT's proprietary QA technology in Japanese.
Research Associate
NTT Communication Science Laboratories
- Developed Japanese bus information system.
- Developed reinforcement learning algorithms for spoken dialogue management.
- Evaluated system with Japanese users.
Experience
Voice-Operated Interactive Technical Manual
https://www.youtube.com/watch?v=dWeeqxrbDLE&t=55sEducation
Ph.D. in Computer Science
University of Karlsruhe - Karlsruhe, Germany
Master's Degree in Computational Linguistics
University of Stuttgart - Stuttgart, Germany
Master's Degree in Computer Science
University of Karlsruhe - Karlsruhe, Germany
Skills
Libraries/APIs
Scikit-learn, SpaCy, PyTorch, TensorFlow, Keras, Matplotlib, NumPy, Pandas, Imbalanced-learn, REST APIs, Google Speech API, XGBoost, Claude API
Tools
GCC, Visual Studio, Claude Code, Pytest, Claude, Azure OpenAI Service, Auth0
Languages
Python, C++, C, Markdown, SQL, Java, C#
Frameworks
Optuna, Flask, Android SDK, LangGraph, LightGBM
Paradigms
Cross-platform, REST, ETL, Model Context Protocol (MCP), Management
Platforms
Ubuntu, iOS, Android, Windows, Linux, Amazon Web Services (AWS), Docker
Storage
Databases, PostgreSQL, PostgreSQL 10, Data Pipelines, Data Validation, On-premise
Industry Expertise
Automotive, Bioinformatics, Healthcare
Other
Deep Learning, Speech Recognition, Natural Language Understanding (NLU), Natural Language Processing (NLP), Artificial Intelligence (AI), Artificial Neural Networks (ANN), Text-to-Speech (TTS), Machine Learning, Unsupervised Learning, Supervised Learning, Reinforcement Learning, Dialog Systems, Generative Pre-trained Transformers (GPT), Classification, Data Science, Data Analysis, FastAPI, Data Analytics, Data Engineering, Generative Artificial Intelligence (GenAI), Data Scientist, Feature Engineering, APIs, Clustering Algorithms, Model Evaluation, Data Modeling, Embedding Models, Large Language Models (LLMs), ETL Development, Linear Regression, Bayesian Statistics, AI Model Training, Data Cleansing, Mathematical Modeling, Statistical Analysis, Machine Learning (ML) APIs, Semantic Search, AI Voice Agents, Conversational AI, Decision Trees, K-means Clustering, Logistic Regression, Random Forests, Support Vector Machines (SVM), API Documentation, Fine-tuning, Neural Networks, AI Programming, Datasets, API Integration, Software Architecture, Speech-to-Text (STT), AI Integration, Technical Architecture, System Architecture Design, Model Tuning, CSV, Unstructured Data Analysis, Data Quality, Document Parsing, Strategy, Technology, Document Processing, Training, Explainable Artificial Intelligence (XAI), Recurrent Neural Networks (RNNs), Predictive Modeling, Statistics, RAG Systems, Workflow Automation, Recommendation Systems, Agentic AI, Vector Databases, Actor-critic Methods (A2C, A3C), Transformer Models, Retrieval-augmented Generation (RAG), RAG Pipelines, Computer Vision, Image Processing, Analytics, LangChain, AI Agents, Prompt Engineering, RAG Architecture, Workflow Automation & System Integration, Dimensionality Reduction, Gradient Boosting, Time Series, Time Series Analysis, Machine Learning Operations (MLOps), Architecture, Solution Architecture, AI Design, Biostatistics, System Architecture, Agentic Workflow Design, Agentic AI Systems, Agentic RAG Systems, Leadership, Reinforcement Learning from Human Feedback (RLHF), ChatGPT API, Gemini API, CTO, SaaS, Software System Architecture Development, Technical Leadership, Hugging Face, Wearables, Perplexity, Real-time Data Pipelines, Cloud Infrastructure, GBM, Startups, Computational Mathematics, ML Pipelines, GPU Computing, Benchmarking, HIPAA
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.
Start hiring