
Pareel Amre
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Pareel Amre
- Current 8 months, since Nov 2025
Systems Developer
Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics, TU Dresden
Built and deployed a production monitoring stack for 32 SpiNNaker2 neuromorphic computing boards across a high-performance research cluster. Built a full-stack visualization system to display real-time data and animations on a 2048×64 LED matrix strip Stack: Python, FastAPI, Pillow, NumPy, Docker, Prometheus, JavaScript, Grafana, InfluxDB, SNMP, Flask
- Current 9 months, since Oct 2025
Automation Engineer
Elbflorace
Built a LiDAR cone detection validation framework for EFR's autonomous racing stack, enabling quantitative performance analysis of the perception system against ground truth track data.
- 10 months, May 2024 - Feb 2025
Data Engineer
Institut für Leichtbau und Kunststofftechnik (ILK), TU Dresden
Designed a centralized data ingestion pipeline integrating multi-source sensor and experiment data into unified streams for modeling. Built APIs and web interfaces for real-time access, visualization, and monitoring, enabling collaboration and faster experimental feedback. Standardized data schemas, automated logging, and ensured data integrity, reducing manual effort, improving data quality, and accelerating availability for analysis workflows.
- 2 years and 7 months, Feb 2021 - Aug 2023
Software Engineer
HP R&D Center, India
Developed automated connectivity test suites for printer firmware using Python and PyTest, validating TCP/IP, HTTP, and MQTT protocols. Built end-to-end UI tests for IoT services with Selenium, covering API flows, latency, and failure scenarios. Implemented logging, assertions, and metrics tracking to detect anomalies and improve reliability, with extensibility for future AI/ML-based error prediction.
Ausbildung von Pareel Amre
- Current 2 years and 9 months, since Oct 2023
Computational Modeling and Simulation
TU Dresden
Studied Computational Modeling and Simulation with a focus on Visual Computing, covering numerical methods, data-driven modeling, computer graphics, and visualization. The program emphasizes simulation of complex systems, scientific computing, and visual analysis through practical projects and interdisciplinary applications.
- 3 years and 11 months, Jul 2017 - May 2021
Electronics and Communication Engineering
Manipal Institute of Technology
Studied core principles of electronics and communication systems, including signal processing, digital and analog electronics, wireless communication, and embedded systems. The course emphasized both theoretical foundations and practical applications through laboratory work, circuit design, and system-level problem solving.
Sprachen
English
C2 (Verhandlungssicher / Muttersprachlich)
German
C1 (Fließend)
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