CV#

Konsta Kiirikki#

konsta.kiirikki@gmail.com | 0401439410 | https://www.linkedin.com/in/konsta-kiirikki | PlayerPlanet | https://users.aalto.fi/~kiirikk1

Education#

Bachelor’s Programme in Science and Technology — BSc in progress (2024–) Aalto University · Major: Mathematics and Systems Sciences

Strongest results on the applied / computational, optimisation, time-series and inference courses (Dynamic Optimization, Introduction to Optimization, Prediction & Time Series Analysis, PDEs, and probability all at top marks). Member of the Physics Guild (Fyysikkokilta).

Intended minor in Data Science — planned, not yet on record.

Relevant coursework (selected):

  • Simulation-based Inference (special course, early 2026 — the method now anchoring EASE, StimIQ, and QSVT4CRA)

  • Dynamic Optimization (master’s-level, MS-E)

  • Introduction to Optimization

  • Prediction and Time Series Analysis

  • Machine Learning

  • Partial Differential Equations

  • Stochastic Processes

  • Probability and Statistics

  • Linear Algebra · Matrix Algebra · Differential and Integral Calculus

Course trajectory: physics entry (mechanics, thermodynamics, electromagnetism, engineering-physics calculus) → probability and core mathematics → ML + time-series (autumn 2025, concurrent with the AI4Value role and EASE) → optimisation and inference (early 2026, overlapping StimIQ’s SNPE build). The method was being learned in class and shipped in hackathons in the same months.

Experience#

AI/ML Developer · AI4Value · May 2026 – Present (full-time)

MLOps, algorithm research, anomaly detection. Currently building a Stream Analytics Engine and sklar-engine (dependence-structure modelling — the name nods to Sklar’s theorem / copulas).

Junior Software Developer · AI4Value · Sep 2025 – May 2026 (part-time)

Software development; local LLMs.

Trainee · AI4Value · May 2025 – Sep 2025 (internship)

Software development and AI on a Python + Django stack.

Across the three roles at AI4Value (continuous employment since May 2025), the work spans algorithm modules, Bayesian neural networks, and AI agents. Tools: Python, Docker, CI/CD; cloud deployment (Azure, Verda).

IoT Developer Trainee · University of Oulu · June 2019

Designed and built an ESP32 sensor network with WiFi/Bluetooth, sharing data to end users through a web interface.

Selected projects#

EASE Health — personalised migraine prediction

  • Amortised Bayesian inference engine (Bayesian neural network) forecasting individual migraine risk and quantifying uncertainty.

  • Continuously optimises for information gain via active learning.

  • Trained offline on synthetic data; active-learning convergence demonstrated in deployment.

  • Gold on the Pfizer × Aava track at Junction Main. Accepted to Spark Finland’s 2026 autumn batch.

  • https://ease-health.org · ease-org

StimIQ — Deep Brain Stimulation parameter optimisation

  • Decision-support system for tuning DBS parameters in Parkinson’s disease.

  • Dense daily symptom data (PDQ-39) feeds a mechanistic “digital-shadow” forward model; amortised inference (SNPE) + Pareto multi-objective optimisation produce a recommended configuration the clinician reviews and applies — human-in-the-loop by design.

  • My involvement: original StimIQ built with Atte Laakso, Nikolas Juhava, Niklas Keiski. The EuroTech × Hong Kong revision evolved without me — by Atte Laakso, Marc Chen, Qilun Li, Nikolas Juhava.

  • Original repo: PlayerPlanet/StimIQ · demo: https://stim-iq.vercel.app · EuroTech × HK track (by others): Latt33/StimIQ

QSVT4CRA — credit / real-estate risk via QSVT on LUMI

  • Quantum Singular Value Transformation applied to credit and real-estate risk on Finnish data across 17 regions; deployed on the LUMI supercomputer and on IBM quantum hardware (Boston during the hackathon, Heron r3 for the scaling study).

  • Pipeline: train NPE over regimes → posterior samples for a factor-copula → block-encode the factor-copula parameters into a QSVT unitary → run QAE to estimate VaR + CVaR.

  • Silver on the OP Pohjola track at Junction X OP Pohjola 2026 (with Milla Kolehmainen, Antti Nurminen, Silja Heiskanen, mentor Juha Vesanto).

  • Honest result: ~10% VaR-95 tail-estimate error on a 12-asset portfolio on real IBM hardware, scaling with QSVT polynomial degree / circuit depth.

  • Companion paper: Implementing Credit Risk Analysis with Quantum Singular Value Transformation.

  • Write-up: Junction X OP Pohjola: QSVT4CRA — silver

MANTIS-4D — pose estimation for the LeRobot SO-101

AaltoAI: Predicting Electricity Spot Prices

  • LSTM on weather and consumption data (TensorFlow, pandas/NumPy).

RSSI-Based Indoor Location System

  • Device localisation from advertisement-call signal strength, fitting physics-based non-linear models via least-squares.

Coffee level prediction (kahvibot)

Hackathons#

  • Junction Main — Pfizer × Aava track: EASE, gold

  • Eurotech × Hong Kong — StimIQ (DBS digital-shadow decision support; track evolved independently after my involvement ended)

  • Junction X OP Pohjola 2026 — OP Pohjola track: QSVT4CRA, silver (with Milla Kolehmainen, Antti Nurminen, Silja Heiskanen; mentor Juha Vesanto)

  • Aaltoes RoboHack (Oct 2025) — robotics + AI

  • Sunstead Hack (Levi, Lapland, June 2026) — agentic AI

  • AI Buildathon (Make in Finland / DIMECC) — industrial AI with Bluefors, Fortaco, Kesla, Konecranes

Skills#

Hard skills#

  • Methods: amortised / simulation-based Bayesian inference (SNPE, sbi); mechanistic forward models / digital shadows; dynamical systems; time-series analysis; optimisation & dynamic optimisation; active learning & information-gain–driven experimental design; Pareto multi-objective optimisation; copulas & dependence modelling; stochastic processes; statistical & probabilistic modelling.

  • Programming: Python, Scala, C++, MATLAB, R

  • Frameworks & tools: PyTorch, sbi, TensorFlow, pandas/NumPy; Docker, CI/CD; cloud (Azure, Verda) and HPC (LUMI); FastAPI / SQLite and React + TypeScript in collaborative full-stack projects; agentic-coding workflows (Claude Code, OpenCode).

Soft skills#

  • Mathematical and analytical thinking

  • Teamwork and cooperation

  • Design and problem solving