cv
Experience #
ML Engineer
Agmis · 2023 06 – 2025 11 (2 yr 6 mos)
EasyODM: industrial defect detection app.
- Designed and built an end-to-end model training service covering configuration management, data pipelines, training, logging and deployment
- Integrated SDKs for industrial cameras and I/O devices
- Extended and optimized image processing pipelines
- Researched and prototyped solutions with VLMs and deep learning-based stereo matching models for 3D reconstruction
- Bridged the gap between hardware and software — 3D design, wiring, and integration of complex systems
IsLucid (outsource): real-time, dual-channel on-device transcription app.
- Built a C++ desktop app from scratch (GUI, transcription pipeline, client-server communication)
- Trained STT models for Lithuanian language
Researcher (Computer Vision)
Kaunas University of Technology · 2022 05 – 2023 01 (7 mos)
Scientific project: industrial defect detection app.
Automation Engineer
Elinta Robotics · 2021 01 – 2022 05 (1 yr 5 mos)
Assembly, design and programming of automation lines for automotive industry.
Elinta Robotics · 2020 09 – 2021 01 (5 mos)
Education #
PhD student of Engineering Sciences, Informatics Engineering
Kaunas University of Technology · 2025 – Present
Thesis: “Integrating Explainability in Vision-Language Models: Methods and Applications for Multimodal AI Transparency”.
Master of Engineering Sciences, Control technologies
Kaunas University of Technology · 2022 – 2024
Cum laude. Final thesis: “Analysis of Defect Localization in Images Employing Explainability Methods within Deep Learning Models”.
Bachelor of Engineering Sciences, Automation and Control
Kaunas University of Technology · 2018 – 2022
Final thesis: “Application of Computer Vision Methods in Automated Wooden Planks Geometry Parameters Measurement System”.
Papers: 1
Projects #
Tech Stack #
C++: boost, imgui, cmake
Python: numpy, pandas, sqlalchemy, matplotlib, fastapi
Databases: sqlite, postgresql
ML & CV: yolo, cnn, vit, vlm, pytorch, pytorch lightning, opencv, huggingface, scikit-learn, onnx
MLOps: mlflow, wandb, hydra, aim
DevOps: git, bash, linux, docker, ci/cd
Hardware: industrial cameras, lighting technology, electrical wiring
3D design: solidworks
Cloud: aws