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Developing mobile apps, user interfaces and IoT systems with Flutter and Python.
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Appolius
Data Scientist
June 29, 2026 – Present
minimal_beacon_scanner
January 25, 2024 – January 25, 2024
Minimalistic Fluter BLE Beacon scanner (for Estimote iBeacons)
View Projectyolov7-counter-jetson-nano
June 15, 2023 – June 27, 2023
Counting pigs app using Jetson Nano with custom-trained YOLOv7, SORT tracking and complete instructions.
View Projectjetson-nano-yolov7-tensorrt
February 18, 2023 – May 7, 2023
jetson-nano-yolov7-tensorrt — GitHub repository
View Projectyolov7-jetson-nano-setup
December 27, 2022 – December 27, 2022
How to setup Nvidia Jetson Nano for YOLOv7 object detection algorithm.
View Projectautonomous-mobile-systems
October 26, 2022 – January 4, 2023
Autonomous mobile systems University Course code.
View ProjectSmartSlippers-Android-Kotlin
May 16, 2022 – June 21, 2022
SmartSlippers Kotlin app with Bluetooth functionality. App connets to the Arduino Nano 33 BLE and displays data received.
View ProjectRPi-Network-Communication-TCP-UDP-in-C
May 12, 2022 – May 18, 2022
Raspberry pi as TCP/UDP server and laptop as TCP/UDP client. We stream live video from RPi camera to a client.
View ProjectArduino-MEGA-Modbus-VFD
March 5, 2022 – March 6, 2022
An example of communication between arduino and variable frequency drive over Modbus.
View ProjectTwinCAT-to-IoT-Central
September 19, 2021 – March 5, 2022
Python code working as a bridge between TwinCAT device (PLC or IPC) and IoT Central application. It calculates OEE at the edge of the network.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards hands-on, hardware-centric, and embedded systems development, which might align with roles requiring practical implementation and prototyping. However, the projects are predominantly personal and lack explicit team collaboration or large-scale system design, which are common in senior data scientist roles. The current experience level is listed as 0, despite having a current Data Scientist role, which creates an inconsistency. The projects are diverse in technology but heavily lean towards IoT/Computer Vision on edge devices, which may not fully cover the breadth of a typical Data Scientist role (e.g., statistical modeling, large-scale data processing, MLOps beyond edge deployment).
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.