Mathias Wilhelm
Development of an AI-driven social media automation for topic identification, text generation, and publishing
Experience
Development of an AI-driven social media automation for topic identification, text generation, and publishing
- optimization and automation of marketing activities on social media channels
- gathering requirements and the processes to be optimized
- building an automation to identify the company's USPs for different marketing target groups
- creating an algorithm to search for and identify relevant news
- implementing an algorithm to generate and send social media posts
- designing and implementing the entire automation in Python
- developing a web application in AngularJS
- boosting the company's visibility through increased and more targeted social media posts
- technologies used: requirements management, stakeholder management, architecture decisions, NLP, LLMs, transformers, Python, FastAPI
DevOps
- redesign and implementation of the entire infrastructure and CI/CD pipeline
- technical infrastructure documentation and process descriptions in line with ISO/IEC 27001
- stabilizing and securing the infrastructure and creating a backup solution
- eliminating platform downtime
- speeding up deployment time by a factor of 4
- accelerating time from ticket to production by a factor of 2 through dynamic review environments and JIRA automation
- technologies used: Infrastructure as Code, Terraform, Hetzner, cloud, Ansible, GitLab CI/CD, Linux, Bash, Docker, Docker Swarm, microservices, MariaDB, MinIO, Git
Interim CTO for decentralized cloud solution
- full responsibility for development and product strategy
- introducing structures and processes
- planning a new platform concept and supporting its implementation with Spring Boot, Java, and AngularJS
- managing interfaces
- sharpening the product strategy
- sustainably improving interdisciplinary team collaboration, especially significantly boosting the performance of the Indian team
- implementing a QA process to improve product quality
- establishing new strategic partnerships and integrating them technically into the platform
- technologies used: project management, requirements management, stakeholder management, team development, architecture decisions, Agile, ClickUp, Monday, Git, REST
Consultant and Data Scientist for insurance providers
- gathering requirements and creating use and business cases
- developing and implementing various AI services and automations to digitalize claims processing: document splitting, automated evaluation of documents, document type recognition, claim type recognition, business line detection, BelegGPT for querying documents
- optimizing the internal claim review process by about 50%
- successfully supporting product placement with insurers
- making a decisive contribution to the innovative optimization of insurers' claims review process
- technologies used: requirements management, stakeholder management, data analysis, prototype development, machine learning, LLMs, NLP, image recognition, anomaly detection, text classification, GPT APIs, spaCy, NLTK, PyTorch, scikit-learn, OpenCV, Python, FastAPI, REST, Docker, microservices, MongoDB, MySQL, Git, CI/CD
Consultant and Data Scientist for B2B trading platform
- project management
- developing and implementing AI-based business and use cases for a B2B trading platform for used hardware, e.g. price indication for used hardware, AI-based normalization of product specifications, intelligent specification search for over 8 million products
- improving platform UX by introducing AI-assisted user inputs
- creating new business cases for existing AI services
- solution-oriented project management with 100% customer-focused results
- technologies used: stakeholder management, data analysis, machine learning, NLP, LLMs, spaCy, NLTK, PyTorch, scikit-learn, OpenSearch, Python, FastAPI, REST, Docker, microservices, MariaDB, Git, CI/CD, JIRA, Confluence
Development and Data Science
- Feasibility project for a CV parser and a skill-matching algorithm
- Project led to digitization and optimization of the recruiting process due to user acceptance and positive test results
- Technologies used: stakeholder management, requirements management, LLM, NLP, machine learning, Tensorflow, scikit-learn, spacy, Python, JavaScript, HTML, FastAPI, REST, Docker, SQLite, Git
Development and Data Science
- Developed a name generator for projects, products, and websites
- Built a database of all registered domain names worldwide (over 100 GB, 300 million records) to validate the availability of generated names
- Helped reduce external costs for naming workshops and agencies
- Technologies used: stakeholder management, data analysis, machine learning, Markov processes, NLP, scikit-learn, Python, FastAPI, GraphQL, REST, PostgreSQL, Docker, Git, CI/CD
Freelance consultant for AI and digitalization
Consulting and project management for sales solution
- Project management and product management
- New development of the AI-based sales solution
- Created innovative AI-based analyses for sales data (cross-selling and upselling potential, industry and customer analyses, lead potential analyses, efficiency and effectiveness analyses)
- Restructured the developer team and onboarded new developers
- Increased the F1 score of the existing AI from 0.35 to 0.8
- Expanded the solution with additional metrics and indicators
- Accelerated the initial customer data analysis
- Created new business cases for existing AI services
- Solution- and budget-oriented project management
- Technologies used: stakeholder management, data analysis, use and business case development, product management, architecture decisions, machine learning, time series analysis, anomaly detection, Tensorflow, scikit-learn, Python, MariaDB, Airflow, MLflow, Git, CI/CD
Head of the Competence Center for Self-Adaptive Systems
DAI-Labor Berlin
Data Scientist and Project Lead
DAI-Labor Berlin
Student Assistant in Machine Learning
TU Berlin
System Administrator
Summary
Mathias Wilhelm helps companies harness the business potential of AI – through solid consulting, targeted implementation, and many years of experience in tech and business projects. With over 20 years of experience as a Data Scientist, developer, and project manager, he brings not only deep technical know-how but also a thorough understanding of business contexts and project strategy. Whether corporate, startup, or research – he combines entrepreneurial thinking with solid AI expertise.
Skills
Ai Consulting & Strategy: Development Of Use Cases, Feasibility Analyses, Ai Roadmaps, Requirements Analyses
Data Science & Ml Engineering: Time Series Analysis, Anomaly Detection, Classification, Nlp, Ner, Document Analysis, Image Processing, Forecasting, Statistics, Data And Result Visualization
Prototyping & Product Development: From Idea To Mvp – Including Architecture, Development, Testing, Deployment, And Infrastructure
Devops/mlops & Infrastructure: Ci/cd, Mlops, Docker Swarm, Terraform, Ansible, Cloud (Aws, Hetzner, Etc.), Automation, Security
Technical Project Management: Leading Development Teams, Requirements Management, Quality Assurance
Industries: Sales, Insurance, Cloud, B2b Platforms, Recruiting, Finance, Automotive, Iot
Languages: Python, Sql, Bash, Javascript, Html/css
Ml/ds: Genai, Llms, Transformers, Image Recognition, Llm Prompt Engineering, Scikit-learn, Tensorflow, Pytorch, Opencv, Pandas, Numpy, Mlflow
Databases: Mysql, Mariadb, Sqlite, Mongodb, Postgresql, Minio, S3
Frameworks: Spacy, Nltk, Pytorch, Tensorflow, Scikit-learn, Opencv, Fastapi, N8n, Opensearch
Devops: Docker, Docker Swarm, Gitlab Ci/cd, Terraform, Ansible, Linux, Git, Jira
Cloud/hosting: Aws, Hetzner, Ovh, Cudo Computing, Vultr, Self-managed Docker Swarm
Apis & Services: Api Design, Rest, Fastapi, Mqtt, Json, Xml
Languages
Education
TU Berlin
PhD (Dr.-Ing.) in ring-based multi-finger gesture control · Ring-based multi-finger gesture control · Berlin, Germany
TU Berlin
Dipl.-Ing. in Computer Engineering · Computer engineering · Berlin, Germany
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