Summary
Mika Koistinen is an MTS Software Development Engineer and data scientist with over a decade of experience building applied ML and analytics solutions across government, academia, and industry. He pairs a MSc in Information Technology and signal processing with hands-on expertise in computer vision, NLP and OCR work for large-scale digitization projects, most recently leading ML efforts at the National Archives of Finland. At Silo AI he progressed from AI Engineer to Senior AI Engineer and now MTS, delivering production-ready APIs, image classifiers and search demos using TensorFlow/PyTorch, HuggingFace, FastAPI and Docker. His background spans diverse domains—real estate, health tech, pharmaceuticals, environmental GIS and historic document processing—bringing strong data engineering and visualization skills to each. Comfortable in Linux toolchains and scripting (bash/awk/sed) as well as Python tooling (pandas, OpenCV, NLTK), he also has international experience living and researching in Japan and Slovakia. A detail-oriented researcher-developer, Mika uniquely combines signal-processing foundations with practical deployment experience for messy, real-world text and image datasets.
11 years of coding experience
9 years of employment as a software developer
Master of science (tech.) Information Technology Major: Signal processing Minor: learning and intelligent systems, Master of science (tech.) Information Technology Major: Signal processing Minor: learning and intelligent systems at Tampere University of Technology 1965-2018
Exchange studies (for MSc. Degree) Information Technology, Exchange studies (for MSc. Degree) Information Technology at Kitami Institute of Technology
Advanced statistics and data mining summer school (10 days) , Advanced statistics and data mining summer school (10 days) at Universidad Politécnica de Madrid
Finnish, English, Swedish, Japanese, Korean