Summary
Toni Väisänen is a tech lead and machine learning systems engineer with a decade of experience building high-throughput, data-intensive platforms and leading cross-functional teams. He combines hands-on integration work in Python and Clojure with operationalizing AI/ML models into production media-optimization systems, bridging data science, product and ops to deliver measurable business value. As a consultant and interim product owner he’s shipped new offices and ensured product continuity at clients like Metosin and WPP’s Choreograph, while also contributing to sales, recruiting and team building. His background in audio engineering and DSP, plus semi-pro musicianship, gives him a unique instincts for complex, rule-based systems and real-time signal workflows. Toni pairs academic training in computer science and data science with practical experience in Kafka, Airflow and cloud data warehousing to solve high-concurrency problems. He also coaches engineers as a technical consultant, favoring principled integration work that turns prototype models into robust production feedback loops.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Mathematics, Data Science Specialization, Master's degree, Mathematics, Data Science Specialization at University of Oulu
Music Technology, Music Technology at Conservatory of Lappia
UPC Universitat Politècnica de Catalunya
Development of Information Systems Degree Program, Computer Science, Datanomi, Development of Information Systems Degree Program, Computer Science, Datanomi at OSAO Kaukovainio