I am a machine learning scientist and engineer with solid knowledge in physics and software engineering.

About Me

Picture of Ville Lähteenlahti

I have been a part of various software and machine learning projects. My main strength is my research experience, which translates into solid problem-solving skills, precise reporting, and the ability to quickly familiarize myself with complicated systems. I hold a PhD in physics with a focus on neuromorphic devices, which also included the equivalent of an MSc in computer science and machine learning. Currently, I work as a machine learning scientist at Linear Oy, where I solve problems related to the real estate industry.

Contact Details

Ville Lähteenlahti

Helsinki, Finland

ville@lahteenlahti.net

Printable CV

Work Experience

Linear Oy

Machine Learning Scientist (Responsible for ML in company) • Jul 2021 - Present

  • Data modeling with neural networks, generative AI for content generation and processing, prediction services, RAG.
  • Systems design, implementation and deployment (Azure, PyTorch, XGBoost, Python, PostgreSQL).
  • Projects: LLM-based writing service in 2021, geospatial regression models, interactive chatbots, data imputation with generative AI, full-system translations with LLM, led a data migration project between three real-estate systems.

University of Turku, Wihuri Physical Laboratory

Doctoral Researcher • Feb 2018 - Oct 2022

  • Wrote programs to control and analyze scientific measurements (scikit-learn, PyTorch, numba, pandas)
  • Followed state-of-the-art of neuromorphic devices, worked with neural networks and device simulations.
  • Teaching assistant: Thermodynamics, Mechanics, Electromagnetism and Atomic & molecular physics.
  • Research resulted in Business Finland project with 600k€ funding.
  • Published peer-reviewed articles as the first author and attended international conferences.
  • Created functioning memristor devices using lithography methods and physical vapor deposition.

Nordic ID Oy

Cloud Software Engineer • Jan 2021 - Jul 2021

  • Deployed services, configured networks and set up managed databases on Amazon AWS.
  • Designed and implemented access control system for an autonomous store (PostgreSQL, Redis, FastAPI, OpenAPI).
  • B2B integration and data processing related to payment and inventory handling.

University of Turku, Department of Physics and Astronomy

Project Researcher • Sep 2017 - Feb 2018

  • Worked as a researcher and IT system administrator of the laboratory.
  • Interfaced, operated and programmed scientific instruments. Did multidimensional measurement data analysis.
  • Designed electrical measurement system for low temperature and memristor research.

Research Assistant • Jun 2016 - Sep 2017

  • Programmed scientific instruments and designed measurements.
  • Fabricated nanoscale Pr1 − xCaxMnO3 perovskite thin films for colossal magnetophotoresistance studies.
  • Studied low temperature physics, including superconductivity and the handling of cryogenic substances.

Suomen Prosessiautomaatioasennus Oy

Software Engineer Internship • Oct 2012 - Jan 2013

  • Improved online store by automating the scraping of product information of store items from electrical part number database using Python.

UTU Oy

Electrical Assembler • Oct 2011 - Jan 2012

  • Assembled electrical distribution boards. The work included part collection from the warehouse, wiring of the distribution boards and ensuring that the assembled boards pass the quality control.

Education

University of Turku, Wihuri Physical Laboratory

PhD in Physics, neuromorphic devices (funded position) • 2018 - 2022

  • Thesis subject: Memristor devices based on low-bandwidth manganites.
  • Collaboration-, presentation- and analytical skills
  • Machine learning theory, simulations, instrumentation, experiment design and software development.

University of Turku, Department of Future Technologies

Courses in Software Development, Data Analytics and Machine learning • 2018 - 2020

  • Completed M.Sc. curriculum of computer science, with emphasis on machine learning.
  • Attended summer schools and workshops in high performance computing (HPC).
  • The studies included deep learning, distributed systems, algorithm design, SWE best practices and game development.

University of Turku, Department of Physics and Astronomy

Master of Science in Physics • 2013 - 2017

  • Graduated with the highest grade
  • Minors in computer science and mathematics. Included advanced calculus and algorithmic mathematics.
  • MSc Thesis: Manufacturing and characterisation of Pr0.6Ca0.4MnO3-based resistive memory.
  • BSc Thesis: Manufacturing, materials and theory of oxide-based memristors.

Ulvilan Lukio, Sataedu Ulvila

Finnish Matriculation Examination and Vocational Qualification, Electrical and Automation Engineering • 2010 - 2013

  • Learned electrician’s trade and attended the Finnish matriculation examination.
  • Physics: Laudatur, Advanced math: Eximia cum laude approbatur.
  • Diploma work on PLC programming and interfacing of sensors. Included CAD, circuit design, PLC programming and industrial electrical installations.

Certifications and Schools

CSC Deep Learning and GPU Programming Workshop 2020

  • NVIDIA Deep Learning Institute: ACCELERATED COMPUTING WITH CUDA C/C++
  • NVIDIA Deep Learning Institute: DEEP LEARNING FOR MULTI-GPUS

CSC Summer School in High Performance Computing 2019

  • HPC programming with message-passing, threading and parallel I/O using C, Fortran, OpenMP, Open MPI and openACC.

Research

Peer Reviewed Journal Publications

News

Conferences

  • International Conference on Memristive Materials, Devices & Systems (MEMRISYS), Poster presentation, Dresden, 2019
  • 12th Spanish Conference on Electron Devices, Poster presentation, Salamanca, 2018
  • Physics Days 2018, Poster presentation, Turku, 2018

Misc.

Skills

Scientific

Figures