Antara Dey

Designing a ROS2-based sensor data logger in Python for manipulator robots, enabling time-series activity detection and implementing behavior trees for trajectory planning and control.

Developed an anomaly detection proof-of-concept using unsupervised learning and computer vision to detect foreign objects in factory assembly lines. Configured and fine-tuned anomalib models, resulting in 97% detection accuracy. Streamlined large datasets for class balancing and improving model accuracy.

Setup, tested and documented software of SofDCar seat demonstrator based on Raspberry Pi with CAN communication and compressor pump. Developed automatic speech recognition system in Python using Whisper LLM and Vosk models over REST API commands.

Developed zero-copy shared-memory-based IPC services in Rust to facilitate low-latency transfer of video data. Developed and tested custom software-defined-vehicle containerised applications in Python/C++ based on open-source Eclipse SDV projects. Documented comprehensive technical knowledge in Confluence that enhanced team efficiency and reduced knowledge gaps.

Developed and optimized C firmware for low-power basic metering devices in ARM Cortex M through algorithmic improvements, unit tests, bug-fixes, and validation testing. Managed firmware release cycles.

Developed safety-critical firmware for locomotive systems implementing engine management, on-board diagnostics, displays/HMI and compressor control modules in C/C++ on QNX RTOS, cross-compiling for multiple targets and following functional safety standards (EN 50128/50129) for rail industry. Documented complex software architecture using UML.

Coursework: Embedded Systems, Industrial Automation Systems (Real-time PLC Programming using Structured Text, Ladder Logic, FBDs), Software Engineering for Real-Time Systems, Semiconductor Engineering, Real-time Concepts for Embedded Systems, HW Platforms and Programming of Embedded Systems, Modeling and Analysis of Automation Systems, Deep Learning.