Sebastian
Hedegaard
Hansen

Over the last 5 years I have solved business problems in the renewable energy industry with technical solutions and system designs. In my current role as an independent contractor at Vestas I helped get the service planning processes simplified and aligned with the operational realities of the field.

• Implemented a custom planning algorithm that automated all long-term planning of work, together with a custom system to assist technicians in dispatching the right people.
• The outcome was a more streamlined process with clear ownership across each step and a more unified incentive model across the organisation and the individual actors in the process.
• The concrete financial outcome was a reduction in cost equivalent to +200 full-time employees.

• Led the design and development of Asset Integrity Hub (AIH). Using AIH, Vestas achieved savings equivalent to $28,000 per wind farm annually. ZF's spare-part service reduced time allocated to data engineering by 75% (3 full-time employees), by building user-focused software that reduced time spent on failure management, maintenance execution and analytics. Enhanced data integrity was realized by aligning data models with industry standards like ISO/IEC 81346-10:2022.
• Managed a team of 25 IT professionals in Armenia, instilling a culture of ownership throughout the product lifecycle to minimize handoff cost and encourage a sense of responsibility.
• Engineered a series of operational solutions for customers — for example, a high-capacity event-based integration between AIH and SAP, handling over 5 million requests daily.
• Led a central project for Vattenfall that materialized into a knowledge register used by over 1,000 engineers, built to create more intelligent maintenance plans utilizing operational data from technicians, SCADA systems and asset failures.
• Designed and implemented a robust microservice architecture, enabling seamless deployment of analytical models and real-time asset monitoring, accessible to both technical and non-technical users.
• Set up infrastructure in Azure to run deep learning models detecting corrosion on offshore substations, working with international clients like Vattenfall and Semco.

To gain practical experience working with larger technology projects, a fellow student and I worked with the newly founded company Nerve Smart Systems:

• Consulted on the overall design and functionality of an e-mobility charging station.
• Planned and executed 2 different user-centered design processes — working in Adobe XD to finalize design before moving to Xamarin for cross-platform implementation.
• Learned what it means to plan and execute a larger development project with a hard deadline.

Assisted colleagues in the sales department with analyses of relevant sales data and helped prepare sales materials.

• Developed programs to automate the collection, cleaning and analysis of large amounts of sales data in Python, using Beautiful Soup, Pandas and NumPy.
• Worked with a team in India maintaining and updating a Salesforce CRM system (Veeva).
• Gained experience with basic terminology and tools within sales, marketing and budgeting.

• Developed systems to optimize daily workload, including a program that automatically alerted when a printer was running out of toner.
• Learned how company culture influences the work environment and how to navigate a large corporation.

Planning and executing daily training for a group of children and teenagers.

Daily training with focus on discipline and physical skills.

• Advanced the precision of predictive ML algorithms by developing synthetic data augmentation techniques using generative AI, improving model accuracy by 2% on benchmark datasets. Recognized for contributions by industry peers at NVIDIA.
• Analysis of large connected networks of Reddit comments using network science and natural language processing.
• Using multiple CPUs and GPUs for large-scale computation, optimizing code with OpenMP and CUDA.
• Design and implementation of large software systems using UML and object-oriented programming languages.

• Strong technical foundation in mathematics, mechanics, material science, physics and computer science.
• Focus on planning and executing larger projects in close collaboration with end-users.
• Developed a smart connected (MQTT) baby monitor to improve sleep management for new parents.
• Thesis: planned, developed and executed an extensive between-subjects experiment on gaze-controlled telepresence robot operation. Implemented in Unity 3D using C#.

Lived in Manhattan and attended university in New Jersey for a semester.

• Developed a large software system for grading university students' Python functions, similar to Code Judge or HackerRank — written in PHP with cURL for inter-server communication.
• Living in one of the world's great melting pots, meeting people with very different backgrounds, becoming more open-minded and curious.

Strategically working with communication in organizations to create alignment between overall goals and how they communicate.