Eduard (Hendrik) V.
Tech Lead Customer Base Documentation Automation
Experience
Dec 2023 - Present
1 year 9 monthsTech Lead Customer Base Documentation Automation
A mid-sized bank
- Project Management: project planning (Work Breakdown Structure; project organization) and team guidance
- Requirements Engineering: customer meetings and documentation
- API definition & contract
- Sales & proposal preparation: preparing & conducting customer workshops
- Pricing
- Change request implementation
- Subcontractor management
- Interface coordination
- Test technology & programming
- First experiences with:
- TypeScript
- Vue
- Azure Web App
- PostgreSQL
- JavaScript
- Node.js
- GCP (Google Cloud Platform)
Nov 2023 - Nov 2023
1 monthEnablement / Support for Practical Use of AI
A mid-sized manufacturing company
- Enablement:
- Workshop: general introduction to AI
- Typical applications in the industry
Aug 2023 - Present
2 years 1 monthTech. Lead / CTO
AI Chatbot Startup
- Project management: requirements analysis, work breakdown structure planning, project schedule planning
- Management & sales:
- Guiding developers
- Project sizing, scoping, cost estimation
- Jira administration
- Management consulting:
- Economic use cases for chatbots and generative AI
- Strategy / development lead:
- MVP concepts -> testing, sprint planning
- Developer coordination (onshore/nearshore)
- In-house prototype development
- DevOps; CI/CD
- Setting up AI backends:
- Architecture / chat flows
- Document uploads / retrieval algorithms
- Website crawling
- Embedding and storing in a vector database
- Testing and applying database queries
- Deployments to cloud infrastructure
- Setting up speech-to-text (STT) and text-to-speech (TTS) on Microsoft Azure Web Apps
- Frontend-backend communication: minimizing latency
- AI / machine learning / NLP / LLM / chatbots / voicebots / conversational AI:
- Large Language Models (LLM)
- OpenAI GPT
- ChatGPT
- Prompt engineering
- Agents
- Retrieval Augmented Generation (RAG)
- Deep learning
- Flowise
- Cloud implementation:
- GCP (Google Cloud Platform)
- Git
- GitHub Actions
- React.js
- Office:
- Teams
- Outlook
- Excel
- PowerPoint
- Miro
- First experiences with:
- Accessible software
- Text-to-speech
- Avatars
- AnythingLLM
- Tailwind CSS
- Grafana
- Next.js React JavaScript stack
- TypeScript
- npm
- REST APIs
- API calls
- Microsoft Azure admin (e.g. RBAC)
- Render.com
- Monorepos vs. polyrepos
- PyTorch
- BigQuery
- Figma
- Apache Kafka
- LangChain (Python + JS)
- Embeddings
- Pinecone
- Vectara
- JavaScript
- Scrapy
- Hugging Face
- Ansible
- Artifactory
Jul 2022 - Dec 2023
1 year 6 monthsBusiness Analyst / Deputy Product Owner
A food retail company
- Data Warehouse migration / technology transformation:
- Business analysis for migration from Teradata to Snowflake (probably Europe's second largest DWH)
- Enablement of business units
- Supporting tests
- Identifying risks
- Introduction of Data Mesh concept
- Agile project management; product ownership:
- Deputy Product Owner (P.O.) / team lead; P.O. support & close collaboration with the P.O.
- Managing external service providers; servant leader
- User stories / epics and their deployment
- Interface between departments (stakeholders), P.O. and team members; ensuring communication and coordination among all parties
- Reviewing, prioritizing and assigning Jira tickets
- Requirements analysis
- Stakeholder management
- Ensuring data quality
- "IT Security First"; business analysis
- Expert interviews
- Coordination with neighboring departments
- Documentation in Confluence
- Data Warehouses (DWH): Snowflake
- Data engineering: BMC Control-M; ETL
- DevOps / automation / SDLC: Kanban, Jira + JQL, Confluence
- Cloud services: Snowflake Cloud DWH
- Others: Kanban, Microsoft Office 365, Miro, GitFlow, dbt
- Office:
- Teams
- Outlook
- Excel
- PowerPoint
- First experiences with:
- SAS
- Teradata
- Visual Studio
- MS .NET
- Windows Server
- SSL/TLS certificates
- Data Mesh architecture
- MicroStrategy
- Microsoft BI stack: SQL Server / SSIS / SSAS / SSRS / T-SQL
- Google Cloud Platform (GCP)
- Kafka
- Terraform
May 2020 - Jun 2022
2 years 2 monthsData Scientist / Data Engineer | Predictive Marketing & Time Series Analysis
An energy industry group
- Further development of a data pipeline:
- Designing, operating and improving ETL (Extract – Transform – Load) processes
- Data transformation/enrichment; AI methods
- Data consolidation in the Snowflake cloud DWH
- Modularizing and packaging code
- Automating workflows
- Energy price modeling (EPSI SaaS, WoodMac):
- Predictive marketing
- Enriching and transforming time series using AI methods and modeling approaches
- Applying ETL, DWH, and API techniques for automated data exchange between systems, e.g. data download and upload to EPSI
- Visualizing results and presentations
- Gaining deeper understanding of the outcomes, model performance, and the impact of input factors on both business and technology sides
- Energy industry: energy markets; merit order; short-run marginal cost (SRMC); fundamental analysis; smart origination; generation technologies
- Team development:
- Linking business & technical narratives
- Business team coaching & support
- Work organization
- Interviewing potential new team members
- Data science / data analysis:
- Artificial intelligence (AI) / machine learning
- TDD / PyTest
- Python
- Pandas
- NumPy
- Scikit-Learn
- Jupyter Notebook
- Time series / forecasting
- Market modeling / simulation: linear programming / optimization
- Fourier transforms / spectral analysis
- Data engineering / data provisioning:
- SQL
- REST APIs
- Postman
- FTP
- ETL
- Python database interfaces
- AsyncIO / asynchronous Python
- DevOps / automation / SDLC:
- GitLab CI
- Apache Airflow
- Git version control
- GitFlow
- Jira
- Confluence
- Bash
- VS Code
- Python type annotations
- Cloud services:
- Snowflake cloud database / DWH (incl. SnowSight)
- AWS (EC2, S3, Airflow)
- Others:
- Scrum
- Kanban
- EPSI energy market software
- MS Windows & Linux CLI
- XML parsing / XPath
- Functional & object-oriented programming (OOP)
- Matplotlib
- Seaborn
- MS Office 365
- Citrix
- Style guides
- First experiences with:
- Talend
- Miro
- MATLAB
- PyCharm
- boto3
- AWS Lambda
- Glue
- Swagger
- PyTorch
- Unit testing
Aug 2019 - Apr 2020
9 monthsProduct Owner / A.I. Architect
An A.I.-based startup
- Core investor/leadership team member for the development of an A.I.-based text analysis system for a Swiss universal bank:
- Product ownership / architecture design / technical direction of the project: CNN A.I. core; modular container-based semi-microservice architecture
- Design of the user interface and permission concept for administrators, power users (model training) and users (scanning); advanced training data handling;
- Developer management (Ukraine)
- Code review of the frontend, backend, and A.I. core
- Report preparation, presentation of results and coordination with the client.
- Data Science / data analysis:
- Python
- Artificial intelligence: Natural Language Processing (NLP), Convolutional Neural Networks
- PyTest
- NLTK
- Tensorflow
- DevOps / automation / SDLC:
- Docker / Microservices
- Dockerfile
- Docker-Compose
- JIRA + JQL
- Confluence
- Other:
- Subproject management
- Result documentation
- JSON
- Linux
- Document management
- First exposure to:
- Scrum
- Sprints
- User Stories
- Features
- FrontEnd
- Usability and user interface design
- Bitbucket
- Fullstack
- NPM
- Yarn
- VS Code
- Nginx
- Github
- YAML
- React.JS (Redux, Saga)
- TypeScript
- NodeJS
- NestJS
- MongoDB
- PostgreSQL
- Git
- Azure
- MLOps
- Red Hat Enterprise Linux (RHEL)
Jan 2018 - Dec 2019
2 yearsBusiness Analyst / Requirements Engineer / Data Scientist | Setup of reporting for the IT security department
A financial industry corporation (IT security department)
- Key performance indicator (KPI) analysis for the head of IT security:
- Business analysis through interviews with department staff.
- Visual representation as mock-ups and prototypes
- Development of a Tableau dashboard on MS Windows with drilldown capability.
- Creation of automated reports in collaboration with data warehouse staff.
- Developer management (India)
- Presentation of key metrics
- Data Science / data analysis:
- KPI development
- KPI reports
- Data engineering:
- Data warehouse (DWH)
- Database connection
- ETL
- GroupShare.
- Visualization tools: Tableau
- DevOps / automation / SDLC:
- JIRA
- Confluence
- JQL
- Other:
- Requirements analysis
- Business analysis
- First exposure to:
- SQL
- Neo4j
- GDPR
- Informatica PowerCenter
- SharePoint
- JavaScript
- Node.js
- React.js
Apr 2017 - Jul 2017
4 monthsData Analyst / Data Scientist | Feasibility study / proof of concept for predictive maintenance
A testing organization
- Analysis/data mining of an inspection database; requirements analysis
- Assessment of data quality; elimination of outliers; further data cleaning;
- Data mining: analysis of data parameters (range, mean, median, standard deviations)
- Python scripting to consolidate data (20 Excel files) and display data ranges;
- Data analysis and machine learning; identifying patterns and trends
- Evaluation of > 3 million records to predict test results.
- Creation and presentation of the final report (data storytelling).
- Data science / artificial intelligence / machine learning:
- Predictive maintenance (A.I.):
- Scikit-learn
- Deep learning (TensorFlow, Keras)
- SVM
- Decision trees
- Visualization tools: Tableau, PowerPoint
- Data analysis; data cleaning
- Visualization and presentation:
- Exploratory data analysis (EDA)
- Python
- Matplotlib
- NumPy
- Pandas
- JSON
- Excel
- First exposure to: testing technology
Jan 2014 - Dec 2015
2 yearsAnalysis of orders and sourcing contracts
An Eastern European telecommunications company
- Telecommunications industry: purchasing/procurement for a national subsidiary of a large international corporation
- Used Excel/PowerPoint VBA to analyze 100,000 orders and several hundred contracts
- Automated creation of PowerPoint reports from Excel sheets using VBA programming
- Documentation of results and advising the board
- Data Science / data analysis:
- Data collection, cleaning & consolidation
- Exploratory data analysis (EDA)
- Visualization
- Presentation of results
- Data processing: Excel and PowerPoint VBA
Summary
Since 2015, I have been dedicated as an IT freelancer to successfully supporting and leading numerous IT projects in various areas, including artificial intelligence development, data migration, and data analysis. My strength lies in the unique combination of the following skills:
- Practical experience in artificial intelligence with extensive knowledge in machine learning and generative AI systems.
- Deep expertise in management consulting, which enables the effective integration of AI technologies into business strategies.
- Solid understanding of the IT infrastructures needed to implement (AI) applications.
This synergy of technical know-how and management competence allows me to develop and implement innovative AI solutions that meet the complex requirements of modern companies.
Languages
German
NativeEnglish
AdvancedDutch
ElementaryEducation
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Diploma in Physics · Physics · Nijmegen, Netherlands
University of Nottingham
Doctor of Natural Sciences · Nottingham, United Kingdom
Certifications & licenses
Machine Learning Engineer Nanodegree
Udacity
Natural Language Processing Nanodegree
Udacity
Cloud Practitioner
Amazon Web Service
Tableau Specialist
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