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Resume of Paul-Louis Pröve
{
"meta": {
"theme": "professional"
},
"basics": {
"name": "Paul-Louis Pröve",
"label": "AI Engineer, Strategy Consultant & Software Developer",
"email": "[email protected]",
"summary": "Paul is a seasoned AI expert and strategic consultant with 8 years of experience in the field. He specializes in helping organizations leverage artificial intelligence to drive innovation. With extensive experience in machine learning, AI strategy and cloud-based solutions, he has guided projects across multiple industries and company scales. Paul has led numerous initiatives ranging from computer vision and NLP research to scaling machine learning applications for enterprise use. His project portfolio includes developing autonomous drones, predictive maintenance systems, NLP models, and computer vision solutions. Previously, Paul served as the CEO and Head of AI at Tensora GmbH, further refining his strategic consulting skills. By combining deep technical expertise with business acumen, he enables organizations to effectively implement AI strategies and achieve transformative results.",
"location": {
"city": "Hamburg",
"countryCode": "DE"
},
"profiles": [
{
"network": "LinkedIn",
"username": "plpp",
"url": "https://www.linkedin.com/in/plpp"
},
{
"network": "GitHub",
"username": "pietz",
"url": "https://github.com/pietz"
}
]
},
"work": [
{
"name": "Freelance",
"position": "AI Engineer & Strategy Consultant",
"startDate": "2024-08",
"highlights": [
"Strategy consulting on AI, data & cloud related matters",
"Concept & implementation of state-of-the-art AI solutions",
"Clients raninging from startups to DAX 40 and Forbes 500 companies"
]
},
{
"name": "Tensora GmbH",
"position": "Founder & Director",
"startDate": "2022-01",
"endDate": "2024-08",
"highlights": [
"Building a lean company of AI products and experts",
"Strategy consulting on AI, data & cloud related matters",
"Concept & implementation of state-of-the-art AI solutions"
]
},
{
"name": "Lufthansa Industry Solutions",
"position": "Senior Data Scientist",
"startDate": "2018-07",
"endDate": "2021-12",
"highlights": [
"IT Consultant for data, AI, NLP, and computer vision",
"Lead project teams with up to 5 people",
"Developed own suite of AI services and products"
]
},
{
"name": "PwC",
"position": "Consultant Data & AI",
"startDate": "2017-10",
"endDate": "2018-06",
"highlights": [
"Strategy Consultant with focus on AI",
"Helped customers to use AI effectively",
"Test Automation for Data Quality"
]
},
{
"name": "Hapag-Lloyd",
"position": "IT System Analyst",
"startDate": "2015-10",
"endDate": "2017-06",
"highlights": [
"Development of applications for our in-house ERP system",
"Automation of workflows using Excel macros",
"UX and UI redesign of customer quotation documents"
]
}
],
"education": [
{
"institution": "University of Illinois",
"area": "Data Science",
"studyType": "M.Sc.",
"startDate": "2019-05",
"endDate": "2021-05",
"score": "GPA 3.83",
"highlights": [
"Part-time Master during my full-time job",
"Full scholarship from my employer"
]
},
{
"institution": "Quantic School of Business",
"area": "Business Administration",
"studyType": "M.B.A.",
"startDate": "2018-05",
"endDate": "2019-03",
"score": "90%",
"highlights": [
"Part-time M.B.A. during my full-time job",
"Full scholarship provided by the institution"
]
},
{
"institution": "Fachhochschule Wedel",
"area": "Computer Science",
"studyType": "B.Sc.",
"startDate": "2014-04",
"endDate": "2017-09",
"score": "B+",
"highlights": [
"Full-time Bachelor with full scholarship",
"Graduated top of the class",
"Best thesis of the year award",
"Innovation Award 2017 by Rotary Club"
]
}
],
"languages": [
{
"language": "German",
"fluency": "Native"
},
{
"language": "English",
"fluency": "Fluent"
}
],
"skills": [
{
"name": "Programming",
"keywords": [
"Python",
"Javascript",
"R",
"C++",
"VBA",
"Java",
"SQL"
]
},
{
"name": "Data Processing",
"keywords": [
"Numpy",
"Pandas",
"Polars",
"Dask",
"OpenCV",
"DBT",
"ETL",
"ELT"
]
},
{
"name": "Cloud Services",
"keywords": [
"Azure: Functions, ML, Cosmos, App Service, OpenAI",
"AWS: SageMaker, EC2, Lambda, Redshift, Dynamo",
"GCP: Firebase, Cognitive Services",
"Databricks: DS & ML Workspaces, MLFlow",
"OpenAI: GPT API, STT, TTS, Azure Cognitive Search"
]
},
{
"name": "Developer Tools",
"keywords": [
"Git",
"Bitbucket",
"CI/CD",
"Helm",
"Azure DevOps"
]
},
{
"name": "Project Tools",
"keywords": [
"SCRUM",
"Kanban",
"Jira",
"Confluence"
]
},
{
"name": "Backend & API",
"keywords": [
"Flask",
"FastAPI",
"OpenAI API",
"ChatGPT"
]
},
{
"name": "Frontend & Dashboard",
"keywords": [
"Svelte",
"Static Web Apps",
"Tableau",
"Streamlit",
"Gradio"
]
}
],
"projects": [
{
"name": "AI Innovation Lab",
"startDate": "2023-05",
"description": "Collaborating with the CTO of a major U.S. corporation to develop AI prototypes and applications for various subsidiaries, focusing on rapid prototyping and tailored AI solutions for diverse business needs.",
"industry": "Multi-industry",
"role": "Lead AI Engineer",
"highlights": [
"Technologies: Python, Azure OpenAI, GPT, Langchain, FastAPI, Cognitive Search, Vector Stores, NLP"
]
},
{
"name": "Recruitment Tools",
"startDate": "2023-10",
"description": "We developed a series of AI tools for the recruitment industry: Matching talent, screening and evaluating them with LLMs.",
"industry": "Recruitment",
"role": "Team Lead",
"highlights": [
"Technologies: Python, Azure, OpenAI, GPT, AI Search, Chatbots, Vector Store"
]
},
{
"name": "Crowd Counting",
"startDate": "2023-09",
"endDate": "2024-01",
"description": "Developing an AI solution for accurate crowd counting in high-density settings for two clients in the professional sports and music festival business. The solution was deployed in the cloud",
"industry": "Event Management",
"role": "Lead ML Engineer",
"highlights": [
"Technologies: Python, PyTorch, Computer Vision, CNNs, High-Density Object Detection, CCTV Integration"
]
},
{
"name": "GPT Finance Agent",
"startDate": "2023-10",
"endDate": "2023-11",
"description": "Built an automated GPT agent that has access to different databases and the web to solve complex queries of customers.",
"industry": "Financial Services",
"role": "Project Lead",
"highlights": [
"Technologies: Python, OpenAI, GPT, Langchain, SQL, Vector Store, Agents"
]
},
{
"name": "Data Copilot PoC",
"startDate": "2023-07",
"endDate": "2023-10",
"description": "Developed a cognitive search engine based on OpenAI GPT that uses a vector store and keyword search to answer questions about internal documents of the company.",
"industry": "Automotive",
"role": "Project Lead",
"highlights": [
"Technologies: Python, LLM, GPT, Langchain, Cognitive Search, Vector Store"
]
},
{
"name": "Vision Quality Control",
"startDate": "2023-04",
"endDate": "2024-06",
"description": "Created a Computer Vision Framework and Service that allows the client to do visual quality control on the shop floor.",
"industry": "Manufacturing",
"role": "Project Lead",
"highlights": [
"Technologies: Python, MLFlow, PyTorch, Azure ML, Azure Functions, Object Detection, DevOps, CI/CD, Git"
]
},
{
"name": "Global MLOps Platform",
"startDate": "2022-09",
"endDate": "2023-07",
"description": "Developed a global and AI-Act-ready MLOps platform based on AzureML and Databricks, that serves ML models at scale.",
"industry": "Insurance",
"role": "ML & Cloud Engineer",
"highlights": [
"Technologies: Python, Databricks, MLFlow, Azure ML, CosmosDB, APIM, Flask, Azure DevOps, Kubernetes, CI/CD, Git"
]
},
{
"name": "ChatGPT NLP PoC",
"startDate": "2023-07",
"endDate": "2023-08",
"description": "Built a chatbot using the OpenAI API that transcribes interviews and writes a report about the interviewee",
"industry": "Recruiting",
"role": "Project Lead",
"highlights": [
"Technologies: Python, Azure OpenAI API, ChatGPT, LLMs, Langchain, Question Answering, Speech-to-Text"
]
},
{
"name": "Data Cleaning Platform",
"startDate": "2022-01",
"endDate": "2023-04",
"description": "Created a no-code data exploration and data cleaning platform that accelerates the work of Data Analysts and Data Scientists",
"industry": "Web Services",
"role": "Lead Software Engineer",
"highlights": [
"Technologies: Python, FastAPI, Polars, Pandas, Azure Functions, Azure Static Web Apps, CosmosDB, JavaScript, Svelte, SvelteKit, Unovis"
]
},
{
"name": "AI Service Cloud Platform",
"startDate": "2022-01",
"endDate": "2022-06",
"description": "Designed and built a modern machine learning architecture for an offering of different AI services in the Azure cloud.",
"industry": "Web Services",
"role": "Cloud Architect",
"highlights": [
"Technologies: Python, Azure ML, Azure Functions, CosmosDB, Blob Storage, FastAPI, Databricks, MLFlow, CI/CD, Git"
]
},
{
"name": "Customer Lifetime Value",
"startDate": "2022-01",
"endDate": "2022-05",
"description": "Analyzed large amounts of customer data, built dashboards and predicted customer value & customer churn over time.",
"industry": "Consumer Goods",
"role": "Data Scientist",
"highlights": [
"Technologies: Python, scikit-learn, lifetimes, AWS, Redshift, dbt, Tableau"
]
},
{
"name": "Flight Delay Prediction",
"startDate": "2021-09",
"endDate": "2021-12",
"description": "Data Science lead in a team of 4 to build a prototype web app that predicts potential flight delay and customer impact.",
"industry": "Aviation",
"role": "Data Scientist",
"highlights": [
"Technologies: Python, Monte Carlo simulation, AWS Lambda, DynamoDB"
]
},
{
"name": "Food Waste Reduction",
"startDate": "2021-05",
"endDate": "2021-12",
"description": "Built an AI recommender system that bridges the gap between supply and demand in the food industry.",
"industry": "FMCG",
"role": "Data Scientist",
"highlights": [
"Technologies: Python, node2vec, collaborative filtering, CI/CD, Git"
]
},
{
"name": "Predictive Maintenance",
"startDate": "2022-03",
"endDate": "2022-04",
"description": "Project lead for building an early warning system for manufacturing machines based on time-series models",
"industry": "Automotive",
"role": "Lead Data Scientist",
"highlights": [
"Technologies: Python, statsmodels, Pandas, scikit-learn"
]
},
{
"name": "Time Series Platform",
"startDate": "2021-01",
"endDate": "2021-09",
"description": "Built a Time-Series-Forecast platform that retrains different models on a regular basis and serves the best model at scale.",
"industry": "MRO",
"role": "Lead ML Engineer",
"highlights": [
"Technologies: Python, Prophet, statsmodels, ARIMA, MLflow, Hyperopt"
]
},
{
"name": "COVID19 People Counting",
"startDate": "2020-09",
"endDate": "2021-08",
"description": "Project lead of 3 for a COVID-19 computer vision solution to count people in public places and measure their distance",
"industry": "Public Sector",
"role": "Lead ML Engineer",
"highlights": [
"Technologies: Python, PyTorch, OpenCV, FastAPI, CI/CD, Git, AWS"
]
},
{
"name": "Autonomous Drone",
"startDate": "2020-05",
"endDate": "2021-07",
"description": "Built the Computer Vision part of an autonomous drone that detects and classifies damages in high resolutions images.",
"industry": "Energy Sector",
"role": "Computer Vision Engineer",
"highlights": [
"Technologies: Python, TensorFlow, OpenCV, Image Segmentation, Azure Functions, Blob Storage, CosmosDB"
]
},
{
"name": "Aviation LLM",
"startDate": "2019-10",
"endDate": "2020-10",
"description": "Researched and trained a domain specific LLM based on transformers to learn the language of the aviation industry",
"industry": "Aviation",
"role": "NLP Engineer",
"highlights": [
"Technologies: Python, Tensorflow, FastAPI, spaCy, NLTK, Transformers, BERT"
]
},
{
"name": "Golden Customer NLP",
"startDate": "2020-01",
"endDate": "2020-04",
"description": "Built a Deep Learning NLP model that measures the similarity between user records and identifies duplicates",
"highlights": [
"ML Engineer",
"Industry: Aviation",
"Technologies: Python, PyTorch, TorchText, fasttext, word2vec, Embeddings"
]
},
{
"name": "Reverse Image Search",
"startDate": "2019-03",
"endDate": "2020-03",
"description": "Built a reverse semantic search for >1 million images including a feedback loop that improved the tool over time",
"highlights": [
"Lead ML Engineer",
"Industry: MRO",
"Technologies: Python, FastAPI, OpenCV, PyTorch, Contrastive Learning, Active Learning, Web APIs, Semantic Search, Annoy"
]
},
{
"name": "Gauge Computer Vision",
"startDate": "2019-02",
"endDate": "2019-10",
"description": "Implemented a computer vision algorithm deployed as an iOS app that can visually read thermometers and mannometers",
"highlights": [
"AI Engineer",
"Industry: Consumer Goods",
"Technologies: C++, OpenCV, iOS, Swift, SQL"
]
},
{
"name": "Facial Expression App",
"startDate": "2019-05",
"endDate": "2019-07",
"description": "Developed an application that detect faces and extracts emotional sentiment ranging from negative to positive",
"highlights": [
"AI Engineer",
"Industry: Aviation",
"Technologies: Python, FastAPI, OpenCV, dlib, CNNs, Keras"
]
},
{
"name": "Tariff Code Classification",
"startDate": "2019-01",
"endDate": "2019-04",
"description": "Build an ML model to classify goods into their EU Tariff Code",
"highlights": [
"Data Scientist",
"Industry: MRO",
"Technologies: Python, Pandas, SQL, scitkit-learn, Dashboarding, Docker"
]
},
{
"name": "Audio Anomaly Detection",
"startDate": "2018-10",
"endDate": "2019-02",
"description": "Researched and built an anomaly detector that works on audio signals to learn what a malfunctioning machine sounds like",
"highlights": [
"Data Scientist",
"Industry: Transport",
"Technologies: Python, scitkit-learn, Raspberry Pi, Embedded Systems"
]
},
{
"name": "Dynamic Pricing",
"startDate": "2018-07",
"endDate": "2018-12",
"description": "Analyzed a large dataset of trading pricing to develop an algorithm that suggests a \"fair market value\".",
"highlights": [
"Data Scientist",
"Industry: Aviation",
"Technologies: Python, Pandas, R, Shiny, Docker"
]
},
{
"name": "Anonymization CV App",
"startDate": "2018-04",
"endDate": "2018-06",
"description": "Build a Computer Vision prototype that detects and anonymizes people in large photo databases",
"role": "Computer Vision Engineer",
"highlights": [
"Industry: Finance",
"Technologies: Python, OpenCV, dlib"
]
},
{
"name": "Data Governance",
"startDate": "2017-10",
"endDate": "2018-03",
"industry": "Finance",
"description": "Team of 5 working on a large data migration and governance project for a large German bank.",
"highlights": [
"Data Scientist",
"Technologies: Python, Pandas, SQL, scikit-learn, Docker"
]
}
]
}
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