Jonas Lau Frandsen
AI Engineering, Data Science, Software Development
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Currently
Working as a Senior AI Engineer at Heyra, designing and building AI and ML systems end-to-end — from problem to prototype to production. I build both purely agentic flows and traditional ML wrapped in agents, delivering the real AI experience: chat with your data and get predictive insights from the same system.
Professional Profile
Passionate and results-driven AI Engineer & Data Scientist with a solid background in software development. In my role as both a Data Scientist and Team Lead on a DSB x Netcompany project, I successfully partook in the development and implementation of AI-driven predictions for Danish trains, a solution with customers in all of Denmark. This experience has equipped me with the ability to manage Proof of Concept projects and scale them into impactful machine learning solutions that deliver tangible business value, through productionalized models.
I have worked with both traditional ML such as predictive maintenance, data clustering, classifiers, timeseries prediction and regression, as well as Deep Learning, where my expertise area has been computer vision. I have strong experience with LLMs, including agentic workflows, document extraction and LLM evaluation.
I thrive in collaborative team environments, leveraging my strong technical expertise and versatile skill set to drive projects forward effectively. I’m proactive by nature, always taking initiative to ensure goals are met and obstacles are addressed promptly.
Specialized in
Agentic AI, Machine Learning, Data Science, Team-leading, Software Development and Data Visualization
Highlighted project
2025-2026
Netcompany - AI-Rejseholdet
- Part of a 4-person specialist team executing rapid proof of concepts at clients to demonstrate how ML and AI can impact their business
- Responsible for the ML/AI tech stack, identifying high-impact areas where ML or AI could drive lasting business transformation
- Rapid prototyping to validate ML hypotheses and demonstrate signal for scalable solutions
- Translating core business needs through an AI/ML lens to ensure implementations deliver tangible bottom-line value
Education and work experience
2026-Now
- Designing and building AI and ML systems end-to-end at scale — taking ideas from problem to prototype to production for clients' businesses
- Building both purely agentic flows and traditional ML wrapped in agents, delivering the real AI experience — chat with your data and get predictive insights from the same system
- Trusted advisor on fast-moving AI technologies, ensuring the AI we build delivers tangible business value rather than novelty
- Focus on agentic workflows, machine learning, decision intelligence, document extraction and LLM evaluations
- Laying the data foundations that keep AI and ML systems reliable in production
- Spec-driven development and agentic coding workflows, moving from a clear spec to shipped AI and ML fast
2026-2026
- Data Consultant with responsibilities solely on AI / ML projects
- Core role at AI-Rejseholdet, which specializes in PoCs and rapid prototyping
- Responsible for the ML/AI tech stack, identifying high-impact areas for business transformation
- Hypothesis based work process to ensure that the scientific proof is secured
- Translating core business needs through an AI/ML lens to ensure bottom-line value
- Extensive work with LLMs, including agentic workflows and agent frameworks (LangChain, PydanticAI, MCP)
- Document extraction using language models and observability with Langfuse
- Strong experience in LLM evaluation — designing and running evals for correctness, reliability and quality
- Using Claude Code for feature building (not for data analysis or production code, for security reasons)
2023-2025
- Project and team lead at a DSB x Netcompany project on AI predictions for train travel
- Working with clients to implement data-driven solutions using ML and AI
- Leading and implementing Proof of Concept projects that assess the potential for larger ML and AI implementations
- Developing and deploying scalable AI models using Databricks and cloud technologies
- Helping clients with statistical analysis and data visualization
2021-2023
- Specialization in AI and deep learning
- Electives in Big Data Management and Applied Information Security
- Thesis: Searching for open-ended properties in a Large Scale Collective Intelligence system
- GPA: 10.13
Previous Experience and Education
2018-2021
- GPA: 10.50
Technical Skills
Programming Languages
- Python - Incredibly strong background for both low-level and high-level programming.
- Java
- SQL
Data Science and ML
- Deep Learning, Traditional ML, Neuroevolution, Statistical Analysis, Mlflow.
LLMs and AI Agents
- LangChain, LlamaIndex, PydanticAI, MCP, RAG, Vector Databases, Prompt Engineering, Few-shot Prompting, Structured Output, Fine-tuning, Synthetic Data Generation, Langfuse, RAGAS, Human-in-the-loop Evaluation, Document Extraction, Claude Code (quick prototyping).
- Experience with all major frontier AI lab APIs (OpenAI, Anthropic, Google, Meta).
Big Data Technologies
- PySpark, Hadoop File System (HFS), High-Performance Computing (HPC) with Ray as multiprocess enabler.
Cloud and MlOps
- Databricks, Cloud deployment of AI models, MLOps, ModelMesh, AI Health Monitoring set-ups, Virtual machines mainly on Azure platforms.
Systems
- Experienced with Linux, Windows, and macOS
Security
- Fundamental understanding of information security and why it is important.
Personal Skills
Team Leadership
- Experience as Team Lead with the ability to motivate and coordinate teams.
- Experience as Project lead with understanding of project planning, team management and successful deliveries.
Communication
- Strong stakeholder management skills.
- Adept at conveying complex technical topics to non-technical audiences.
- Mastery of presenting for medium to large audiences on complex matters in an understandable way.
Business-to-Solution Thinking
- Skilled at translating stakeholder conversations and business needs into concrete, valuable data solutions.
- Focus on delivering impact over novelty — actively listening to customers and stakeholders to build solutions that solve real problems, not technical gimmicks.
Problem-Solving
- Analytical thinker with the ability to quickly learn and apply new technologies and methods.
Adaptability
- Highly flexible with the ability to adapt to changing project requirements, technologies and the organisation around projects.
Languages
Danish
- Native Language
English
- Fluent
Beyond Work
Ten years of Dungeons & Dragons with the same party, and as much hiking and sleeping outdoors as the calendar allows — fully committed on both fronts.