I'm Matt.

I am a Senior Machine Learning Engineer based in Helsinki, currently focusing on building scalable lead generation engines at KONE, optimizing MLOps infrastructure and building beautiful smooth pipeline between Databricks and AWS.

With over 5 years of experience in the intersection of data engineering and software architecture, I specialize in turning complex algorithms into production-ready distributed systems. I have a deep love for clean code, robust backend architecture and play game.

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Work Experience

Senior ML Engineer @ KONE

2025 — Present
Helsinki, Finland
PythonDatabricksAWSSalesforceML PipelinesETLCDKFastAPI
  • Engineered a scalable and maintained a Lead engine pipeline to create leads based on internal and external data for the Salesforce team.
  • Leading the technical team of the Lead Engine, driving the productionization of the Lead app across 70+ countries.

ML/Software Engineer @ Resoniks

2024 — Present
Helsinki, Finland
PythonGrafanaMLflowPrometheusAirflowPyTorchTransfer LearningFastAPI
  • Designed and implemented a scalable MLOps infrastructure using Grafana, MLflow, Prometheus, and Airflow, reducing model deployment time by 40% and improving monitoring efficiency by 30%.
  • Developed and optimized backend services for deploying and managing machine learning models in production, ensuring 99.9% uptime and reducing response time by 25%.
  • Engineered and integrated an autoencoder-based anomaly detection system, reducing false positives by 10%, enhancing system reliability, and improving real-time detection accuracy.
  • Leveraged transfer learning to fine-tune pre-trained models for audio anomaly detection, improving accuracy by 10% with limited training data and reducing computational costs by 20%.
  • Built and deployed production-grade services for data export handling, automating workflows with Airflow, reducing manual intervention by 50%, and increasing data processing speed by 2x.

Software Engineer @ DGShahr

2022 — 2023
Tehran, Iran
PythonDjangoDRFCeleryRedisPostgreSQLREST APIs
  • Built a scalable and modular backend architecture with Django, designing custom models, views, and APIs, increasing data processing efficiency by 30%.
  • Improved task processing speed by 15% by implementing asynchronous operations with Celery and Redis, ensuring faster execution of critical workflows and reducing system bottlenecks.
  • Developed and optimized REST APIs using Django REST Framework (DRF), improving data retrieval performance by 30% and enabling seamless integration with front-end applications.
  • Optimized complex queries and enhanced database performance by implementing Django ORM and PostgreSQL time series, reducing query execution time by 20% and improving scalability.

Data Engineer @ Divar

2022
Tehran, Iran
PythonSQLPandasA/B TestingData PipelinesFeature Engineering
  • Developed automated reporting pipelines to assess fraud detection algorithm performance, revealing a 10% reduction in financial losses and improving fraud mitigation strategies.
  • Improved detection of fake reporters by 15% through advanced data analysis, feature engineering, and algorithm optimization, leading to more reliable fraud detection.
  • Designed and conducted A/B tests to analyze the impact of the new KYC process on user engagement, identifying a 20% churn rate and providing data-driven insights for decision-making.
  • Engineered and optimized backend data pipelines for fraud detection using Python and SQL, enhancing system efficiency and reducing query execution time by 25%.

Education

Aalto University

2023 — 2025
M.Sc. Computer Science

Minor: Artificial Intelligence, Machine Learning and Data Science

G.P.A: 4.56/5. Awarded the Dean's Scholarship for academic excellence.

Master's Thesis

Dual-Model Augmentation for Compositional Semantic Parsing via Recursive Log-Likelihood Guidance (Via LLM)

Supervisor: Prof. Pekka Marttinen

Advisor: Sam Spilsbury

Key Courses

Machine Learning5/5
Machine Learning: Supervised Methods5/5
Reinforcement Learning5/5
Deep Learning5/5
Federated Learning5/5
Statistical Natural Language Processing4/5
Bayesian Data Analysis4/5
Principles of Algorithmic Techniques5/5