CV / About

Founder / Tech - TopicalBase Oy

• Led development and commercialization of a custom ERP for warehouses; evolving into a standardized, lower‑cost solution.
• Architected and deployed Azure backend + client‑facing data app; improved operations, data integrity, and engagement.
• Built GDPR‑compliant lead gen and sales intelligence; accelerated sales cycle and reduced manual effort.

Programmer - SHS Sähkö Oy

• Designed AutoCAD optimization plugin to auto‑place plugs via customizable rules; provided full‑control UI for engineers.

Board Director - Wannado Oy

• Quarterly AI market analysis and strategic counsel; translated research into actionable decisions and durable advantage.

CEO - Aiferno

• Launched and marketed a DTC store; shipped ~10 products and pivoted based on saturation signals.
• Self‑taught Python and Java; studied app economics and business models early.

S&P 500 Trend Prediction using Ensemble Machine Learning

Predicted market direction on daily horizon with 53.6% accuracy over 97 years. Ensemble of LSTM, SVM, and Random Forest; interactive dashboard for pattern analysis and risk assessment.

Skills

Machine Learning · Time Series · Python · Predictive Analytics · Feature Engineering · Financial Data · Statistical Modeling · Docker · Scikit‑learn · Dashboarding

Multi‑Agent Game Decision System

Performance optimization for Frisian Draughts (checkers variant). Algorithm combination validated a 22‑point improvement in decision quality.

Skills

Agents · Machine Learning · Computer Simulations · Reinforcement Learning · Algorithm Design · Performance Analysis · Benchmarking · System Architecture · Software Engineering · Experimental Design

AI Golf Simulation

Built full golf simulation where AI achieved optimal performance vs traditional methods (3–5× fewer attempts). Demonstrated end‑to‑end performance optimization.

Skills

Java · Software Development · Algorithm Design · Problem Solving · Performance Optimization · System Architecture · Software Testing · Machine Learning · Computer Simulations

Student Performance Prediction System

Processed 18,321+ student records to impute grades and predict degree outcomes. Custom decision‑tree engines and visualization; outperformed GPA‑only baselines.

Skills

Machine Learning · Java · Algorithms · Data Pipelines · Statistics · From Scratch · First Principles Thinking · JavaFX

BSc, Data Science & AI - GPA 3.7 (2024)

• Top‑3 student representative for the cohort.
• University infrastructure project improving PBL course↔project alignment.
• Projects: S&P 500 predictor (LSTM/SVM/RF); agent (MCTS + NNs); student success prediction.
• Hobbies: Climbing, Reading, Running.

High School Diploma - GPA 3.5

• Valedictorian (1/43). Exams: Mathematics, Physics, English, Language.