Work Experience

PharmaOH

Jan 2025 — Present

Co-Founder & Machine Learning Engineer

  • Built end-to-end ML pipelines on real sports scouting data (ingest → feature store → model training → evaluation) with reproducible notebooks.
  • Designed data products for pharma market-gap analysis using multi-source sales + ChEMBL data; normalized, clustered, and surfaced outliers for decision-making.
  • Operationalized models with containerized services and scheduled batch inference; implemented monitoring on drift and data quality checks.
  • Prototyped retrieval and labeling workflows to turn raw domain data (matches, player stats, drug indications) into high-signal training datasets.

HSS-PROSERVICE

Oct 2024 — Jan 2025

Back-End Software Engineer

  • Developed and maintained backend APIs of HSS Proservice marketplace using Scala with Cats, a fully functional stack, ensuring high performance and scalability.
  • Identified, debugged, and resolved critical issues, improving system stability and overall efficiency.

UNISO

Aug 2019 — Sep 2024

Full-Stack Software Engineer

  • Developed modern IT systems for the local market (e.g. eParaksts: an e-signature system for citizens of Latvia) using Scala for the back-end part (including Akka toolkit for networking and optimisation), Svelte for the front-end part and PostgreSQL database.
  • Designed and implemented a new data structure as well as led data migration to the new structure for one of the projects.
  • Contributed to several in-house developed frameworks and toolkits (treSQL, querease and mojoz), which were actively used across all the projects in the company to streamline system development. Suggested change requests and tested new features.
  • Helped to write documentation for wabase – a tool for database and data transfer object definition for Scala through YAML files. In addition to the documentation, developing a sample project designed to serve as a playground to master the required stack.

Education

The University of Edinburgh

Sep 2021 — Jul 2024

Bachelor of Science in Mathematics with Honours

  • Achieved Second Class, Division 1 (2:1).
  • Built foundational knowledge in key mathematical areas with focus on algebra and computational modules.
  • Wrote final project on the axiomatic approach to measuring the diversity and entropy of systems.

Riga State Gymnasium No. 1

Sep 2013 — Jun 2019

Certificate of Secondary Education

  • Graduated from Latvia’s leading high school with focus on Mathematics, Physics, and Informatics.
  • Final grade: 90% overall, with 87% average in final exams (equivalent to an Upper First-Class Degree).
  • Ranked top 1 % nationally (55 000 candidates) in the Centralised Mathematics Exam and represented the school in national Olympiads for Mathematics, Physics, and Chemistryal Olympiads for Mathematics, Physics, and Chemistry.