Ali Kağan Mart

Developed a Python-based mobile telemetry system for connected vehicles, enabling real-time data collection, preprocessing, and visualization via BLE. Designed structured parsing and normalization layers to enhance data quality and reduce processing errors. Built interactive dashboards and NoSQL-based logging modules, improving monitoring accuracy and supporting faster data-driven insights across embedded and cloud platforms.

Designed and optimized structured data pipelines for embedded surveillance systems, enhancing sensor data throughput and reliability. Developed Python tools to parse, log, and validate microcontroller outputs under operational constraints. Analyzed performance metrics to identify latency bottlenecks, contributing to improved efficiency in subsequent software iterations.

Developed real-time Python-Qt dashboards to visualize ECU sensor data over CAN bus, accelerating insight generation during test drives. Implemented structured logging and analysis scripts for performance tracking and diagnostics. Contributed to telemetry tools that helped the team achieve 2nd place at TEKNOFEST Turkey and 5th place at Shell Eco-Marathon Europe.

Completed an Erasmus+ exchange semester in Electrical and Electronics Engineering (100% English). Focused on computer programming, digital systems, and algorithmic computation. Strengthened international collaboration and technical communication skills while adapting to multidisciplinary engineering projects in a global academic environment.

Completed a Bachelor’s degree in Electrical and Electronics Engineering (100% English). Focused on computer programming, probability, statistics, and signal processing. Senior thesis involved designing a Python-based embedded system for real-time data collection and analysis, integrating data processing and visualization workflows on embedded hardware.