Software engineer and co-founder based in Riga, Latvia. Leading engineering at Bond4, a waste management platform for haulers and operators, and building Buvio, an AI compliance tool for construction.
I've worked across the stack, from low-level systems and infrastructure to production SaaS platforms. My work sits in industries that software largely skipped: waste logistics and construction compliance, where the incumbent process is still a clipboard and a filing cabinet.
Coursework: Algorithms, AI, Linear Algebra, Probability, Databases, Systems Programming, Programming Languages, Software Engineering.
Thesis: IoT system for predicting single-phase induction motor failure using sensor data and machine learning.
Production experience Working knowledge
An AI-powered platform for construction compliance and regulatory documentation in the Baltics. Automates the compliance layer: reading regulations, flagging violations, generating documentation. Built for an industry still largely running on paper.
Takeaway Reliability, not capability, is the hard part of shipping LLM features into a regulated workflow: the model has to be wrong in ways a reviewer can catch.
Designed an IoT solution using sensor data to predict failure in single-phase induction motors. Signal processing and machine learning applied to an industrial problem. Bachelor's thesis project.
Scraped Latvia's largest classifieds site for car listings and built an ML regression model to predict vehicle value from listing parameters. Covered the full pipeline from data collection to model training.
Built a browser extension that played the PPAP video on every webpage.
Outcome Reached 15,000+ downloads with no promotion.
Takeaway First lesson in how software distributes itself: timing and shareability beat engineering effort.
Based in Riga, Latvia. Available for opportunities, collaborations, and interesting conversations.