Summary
Suvi Vasama is a data scientist and Member of Technical Staff with eight years of experience building and deploying neural-network-driven systems at scale, currently focused on next-generation AI for quantum applications. She has led production recommender and real-time bidding models that serve billions of requests and measurably improved key product KPIs using two-tower retrieval architectures and experimentation like permanent dropout. Comfortable across the full ML lifecycle, her hands-on stack includes TensorFlow, PyTorch, PySpark, BigQuery and GCP (with Azure/AWS experience), and she routinely owns infrastructure, deployment and runtime optimizations. Trained as an economist with a PhD and a background in numerical methods and stochastic optimization, she combines rigorous mathematical thinking with practical engineering—often finding unexpected data insights. Known for mentoring juniors and bridging product, research and infra needs, she thrives on technically hard problems and squeezing down latency and cost in production systems.
8 years of coding experience
13 years of employment as a software developer
PhD economics, Economics, PhD economics, Economics at Aalto University
Diplom Economics, Economics, Diplom Economics, Economics at Ludwig-Maximilians-Universität München
Master's degree, Economics, Master's degree, Economics at University of Jyväskylä
English, Finnish, German, Swedish