About Sepe
A highly motivated and self-driven AI Developer with a proven track record of executing demanding and innovative projects. I have developed astate-of-the-art (SOTA) AI pipelinethat integrates speech recognition, Large Language Models (LLMs), and speech synthesis witharound 200ms latency**. Possessing a deep understanding of neural network architecture, I have built a neural network from scratch based solely on mathematical principles. I also have practical experience in **processing 3D point clouds from LIDAR datato automate forest inventory. I am seeking challenging opportunities where I can leverage my expertise to develop novel AI systems.
Finnish
Native or bilingual
English
Native or bilingual
Japanese
Basic
Can work on-site
Helsingfors (up to 50km)
Experience
- Rose Man OYSoftware Developer, Internship (3D, Point Clouds, Forestry)RESEARCHJanuary 2024 - April 2025 (1 year and 3 months)Hyvinkää, FinlandDeveloped a solution for automating forest inventory as part of my thesis project.Developed a program using Python, Cython, and C++ to analyze 3D point cloud data collected with LIDAR technology. Implemented and applied algorithms (including Cloth Simulation Filtering) to identify trees within the point cloud with 93–96% accuracy. The program automatically calculated the number of individual trees and estimated their height and diameter at breast height (DBH). Designed the system to efficiently handle and process large-scale (.laz) point cloud files.
- Biobank TampereSoftware Developer, InternshipPUBLIC SECTORJanuary 2020 - April 2020 (3 months)Tampere, Finland- Independently developed a Python script to automate data transfer between Excel files using OpenPyXL.- Generated charts and graphs from Excel data using Matplotlib and Pandas libraries.- Automated the data entry process for forms.
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Education
- Bachelor of Engineering (B.Eng.)South-Eastern Finland University of Applied Sciences (XAMK)2025Bachelor of Engineering (B.Eng.)
Skill set
Categories
- Other