Mikael Helin
Mikael Helin / About more ~/about.md

About & CV

mikael@helin: ~/about.md

I'm Mikael โ€” a mathematical engineer and software developer. My work sits where rigorous mathematics meets real-world software: models that measure, predict and price, together with the engineering needed to make them reliable.

My main interests are fintech, banking and artificial intelligence. This includes stochastic calculus, numerical methods and statistical learning, with applications in areas such as derivatives pricing, credit risk and financial markets. Mathematics, algorithms and software are equally important parts of the work.

I care about the whole quantitative system: how the mathematical formulation and its assumptions determine the computational methods, how those methods behave numerically, and how the resulting model is analyzed, validated, implemented, tested and used in practice.

mikael@helin:~$ cat principles.md

  • [โœ“] Derive before you compute. Understand the mathematics first; trust the output second.
  • [โœ“] Approximations determine computational cost; assumptions determine quality. The challenge is optimizing both.
  • [โœ“] Correctness comes before performance. A slow, correct solution can be optimized; a fast, incorrect one is worthless.
  • [โœ“] Numerical computing deserves the same discipline, testing, and rigor as production software.

mikael@helin:~$ ./print cv.doc

Mikael Helin - Curriculum Vitae - 2026 October 30
EXPERIENCES

2024 โ€“ Ongoing
Haavenmaa (Personal projects)
Personal project: Self-hosted cloud platform for EdTech, primary in Computational Science, Data Science and Computer Science and then secondary in Mathematics and Physics in multiple languages. I fore mostly architecture and then micromanage Large Language Models for coding to complete these projects.

  • Built a MVP text editor for rapid creation of scientific articles and lecture notes in mathematics, physics and computer science.
  • Building a home-lab-based CI/CD platform using FreeBSD bhyve and jails and Linux Podman but also Docker containers. Management of DNS, load balancers, and firewalls.
  • Building an eID with an RBAC solution, similar to Swedish BankID but with granular persmissions. This eID is needed for teachers and students to create, access and submit their lecture notes and labs.

March 2025 โ€“ July 2025
AIM-X Sports Club
AIM-X Sports Club was a sports science initiative that has served both recreational and elite athletes for over two decades.

  • Designing algorithms to extract mechanical and biomechanical KPIs from two-dimensional video frames.
  • Built synthetic datasets and solvers to estimate drag, jump height, and sprint dynamics.

November 2018 โ€“ April 2020
Systems Developer, Meta Bytes, Laholm, Sweden
Meta Bytes, is a start-up company providing cloud infrastructure and IT-solutions to various clients within EU.

  • My main responsibility became to explore and evaluate new technologies for potential company benefit.
  • Re-used techniques for estimating soil moisture from NASA/NOAA weather satellite data; for use in low-altitude quad-copters in precision agriculture.
  • Constructed and evaluated mathematical solvers vs. Machine Learning solvers, including:
    • Image 3D rotation as pre-processing for Tesseract OCR.
    • Researched and derived analytical models for soil moisture estimation.
    • Used machine learning models as replacements for analytical models in soil moisture estimation.
    • Explored open-source machine learning tools, such as OCR (Tesseract), visual document identification, and OpenCV.
    • Investigated speech-to-text transcription and Rasa AI chatbot technology.
    • Implemented secure information transmission by use of serialization, NoSQL and RabbitMQ.

May 2016 โ€“ August 2018
Credit Risk Analyst, Northmill Bank, Stockholm, Sweden
Northmill Bank is a fast-growing Swedish online bank and fintech company focused primarily on consumer lending, with a few offices across Europe.

  • Contributed to top-level management decision-making through intensive computational analysis.
  • Developed and implemented both analytical and machine learning models for credit risk assessment, stress testing and customer behavior analysis.
  • Optimized financial strategies through analysis and predictive modeling.
  • Benchmarked machine learning algorithms against traditional analytical methods.
  • Optimized computational speed to handle big data issues:
    • Reduced computational complexity and improved hardware utility.
    • Combined a mix of programming languages: Python, C/C++ and Octave (Matlab) as well a bit R.
    • Wrote alternative algorithms than using Python Pandas.

Nov 2015 โ€“ Aug 2016
Mathematics Consultant, Ackebrink, Stockholm, Sweden
Ackebrink, based in Stockholm, hires consultants to teach at vocational colleges throughout Sweden.

  • Designed and taught courses in software development, computer science, and mathematics.

Jan 2015 โ€“ Aug 2015
Risk Analyst, Nord Fondkommission, Stockholm, Sweden
Nord Fondkommission was a Swedish financial services company that specialized in investment advisory services and the sale of financial products through a network of affiliated agents. The company lost its operating license in 2021.

  • Conducted risk assessments and stress tests on structured products and investment portfolios.
  • Developed automated scripts and tools for back-office operations.
  • Held Chief Information Officer (CIO) responsibilities, managing IT infrastructure and security.
EDUCATION

May 2013
Royal Institute of Technology (Kungliga Tekniska Hรถgskolan, KTH), Stockholm, Sweden
Master of Science in Engineering Physics