Eduard (Hendrik) V.
Tech Lead Customer Base Documentation Automation
Experience
Dec 2023 - Present
1 year 11 monthsTech Lead Customer Base Documentation Automation
A medium-sized bank
- Project management: project planning (work breakdown structure; project organization) guiding team members
- Requirements engineering: client meetings and documentation
- API definition & contract
- Sales & proposal preparation: preparing & running client workshops
- Pricing
- Implementing change requests
- Managing subcontractors
- Aligning interfaces
- Test technology & testing framework
- First encounters 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 medium-sized manufacturing company
- Enablement:
- Workshop: general introduction to AI
- Typical use cases in the industry
Aug 2023 - Present
2 years 3 monthsTech Lead / CTO
AI Chatbot Startup
- Project leadership: requirements analysis, project structure planning, project scheduling
- Management & sales:
- Guiding developers
- Project sizing, scoping, budgeting
- Jira administration
- Management consulting:
- Business use cases for chatbots and generative AI
- Strategy / development lead:
- MVP concepts -> testing, sprint planning
- Developer management (onshore/nearshore)
- Developing own prototypes
- DevOps; CI/CD
- Setting up AI backends:
- Architecture / chatflows
- Document uploads / retrieval algorithms
- Website crawling
- Embedding and storing vector data
- Testing and querying the database
- Deploying on 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 tools:
- Teams
- Outlook
- Excel
- PowerPoint
- Miro
- First encounters 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 grocery retail company
- Data warehouse migration / technology transformation:
- Business analysis for migration from Teradata to Snowflake (one of Europe’s largest DWH)
- Enabling business departments
- Supporting tests
- Identifying risks
- Introducing the 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 leadership
- User stories / epics and their deployment
- Acting as interface between business units (stakeholders), P.O. and team members; ensuring communication and alignment among all parties
- Reviewing, prioritizing and assigning Jira tickets
- Requirements analysis
- Stakeholder management
- Ensuring data quality
- "IT security first"; business analysis
- Expert interviews
- Aligning with related 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 tools:
- Teams
- Outlook
- Excel
- PowerPoint
- First encounters 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 company
- Enhancing a data pipeline:
- Designing, operating and improving ETL (extract-transform-load) processes
- Data transformation/enrichment; AI methods
- Consolidating data in Snowflake cloud DWH
- Modularizing and packaging code
- Automating workflows
- Energy price modeling (EPSI SaaS, WoodMac):
- Predictive marketing
- Enriching and transforming time series with AI methods and modeling approaches
- Using ETL, DWH and API techniques for automated data exchange between systems, e.g. downloading and uploading data to EPSI
- Visualizing results and presentations
- Deepening understanding of results, model impact and input factor influence 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
- Coaching & supporting the business team
- Organizing work
- 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 code versioning
- GitFlow
- Jira
- Confluence
- bash
- VS Code
- Python type annotations
- Cloud services:
- Snowflake cloud database / DWH (including 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 encounters with:
- Talend
- Miro
- MATLAB
- PyCharm
- boto3
- AWS Lambda
- Glue
- Swagger
- PyTorch
- Unit testing
Aug 2019 - Apr 2020
9 monthsProduct Owner / AI Architect
An AI-based startup
- Core Investor/Leadership team member for the development of an AI-based text analysis system for a Swiss universal bank:
- Product ownership / architecture design / technical direction of the project: CNN AI core; modular container-based semi-microservice architecture
- Designed the user interface and permission model for administrators, power users (model training) and users (scanning); advanced handling of training data
- Managed developers (Ukraine)
- Code review of the frontend, backend and AI core
- Reporting, presenting results and aligning 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
- Others:
- Subproject leadership
- Documentation of results
- JSON
- Linux
- Document management
- Initial exposure to:
- Scrum
- Sprints
- User stories
- Features
- Front end
- Usability and user interface design
- Bitbucket
- Full stack
- NPM
- Yarn
- VS Code
- Nginx
- GitHub
- YAML
- React.js (Redux, Saga)
- TypeScript
- Node.js
- NestJS
- MongoDB
- PostgreSQL
- Git
- Azure
- MLOps
- Red Hat Enterprise Linux (RHEL)
Jan 2018 - Dec 2019
2 yearsBusiness Analyst / Requirements Engineer / Data Scientist | Setting up the reporting system for the IT security department
A corporation in the financial sector (IT security department)
- Key performance indicator (KPI) analysis for the head of IT security:
- Business analysis through interviews with department staff
- Visual representation in the form of mock-ups and prototypes
- Developed a Tableau dashboard on MS Windows with drilldown capability
- Created automated reports in collaboration with data warehouse staff
- Managed developers (India)
- Presented key metrics
- Data science / data analysis:
- KPI development
- KPI reports
- Data engineering:
- Data warehouse (DWH)
- Database connections
- ETL
- GroupShare
- Visualization tools: Tableau
- DevOps / automation / SDLC:
- JIRA
- Confluence
- JQL
- Others:
- Requirements analysis
- Business analysis
- Initial 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
An auditing organization
- Analyzed / data mined an inspection database; requirements analysis
- Assessed data quality; removed outliers; further data cleaning
- Data mining: explored data parameters (range, mean, median, standard deviation)
- Python scripting to consolidate data from 20 Excel files and present data ranges
- Data analysis and machine learning; identifying patterns and trends
- Analyzed over 3 million records for predictability of inspection results
- Prepared and presented the final report (data storytelling)
- Data science / artificial intelligence / machine learning:
- Predictive maintenance (AI)
- 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
- Initial exposure to: inspection technology
Jan 2014 - Dec 2015
2 yearsAnalysis of orders and sourcing contracts
An Eastern European telecommunications company
- Telecommunications sector: procurement for a local subsidiary of a major international corporation
- Used Excel / PowerPoint VBA to analyze 100,000 orders and several hundred contracts
- Automated creation of PowerPoint reports from Excel tables using VBA
- Documented results and advised 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've been working as an IT freelancer, successfully supporting and leading numerous IT projects across various areas, including artificial intelligence development, data migration and data analysis. My strength lies in the unique combination of the following skills:
- Hands-on experience in artificial intelligence with deep knowledge in machine learning and generative AI systems.
- In-depth expertise in management consulting, enabling the effective integration of AI technologies into business strategies.
- A solid understanding of the IT infrastructures required to implement (AI) applications.
This synergy of technical know-how and management skills allows me to develop and implement innovative AI solutions that meet the complex demands of modern companies.
Languages
German
NativeEnglish
AdvancedDutch
ElementaryEducation
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Diploma in Physics · Physics · Nijmegen, Netherlands
University of Nottingham
Doctorate in 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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