Petru Mateescu

Architected and optimized scalable data solutions, leveraging Databricks for extensive data pipeline and notebook management with PySpark OOP and Azure Data Factory for robust data workflow orchestration, increasing performance by 50% and reducing data ingestion latency by 25%. Implemented Medallion architecture with 4 distinct steps and integrated diverse data sources: Storage Accounts, Data Lake

Developed a Django web application with Google Maps/Mapbox APIs, enabling live traffic communication; deployed on AWS EC2 with CI/CD pipelines. Optimized architecture and improved UX/UI by 33% via Figma design, enhanced security and performance using PyTest, Selenium, Zap, and JMeter.

Optimized software and hardware processes, reducing revalidation by 50%, boosting defect detection by 25%, and automating testing with better coverage, coding standards, and documentation. Developed a processing tool for over 90% of tests, reducing time from hours to seconds with Excel VBA and Python.

Implemented a stock price prediction model in Python, Quandl API, and Scikit-learn, forecasting data with SVR and LR techniques. Engineered a data processing pipeline with a high coefficient of determination (93) for future 30-day forecasts and performance validation.

Created a smart chair improving posture with over 85% accuracy; developed a web application in Firebase, React, and Node.js to notify posture corrections. Refined communication protocols between micro-controllers and cloud services, improving system dependability and response time by 15%.

Instructed 10 courses in Data Acquisition, Robotics, and Electronics to over 40 students, emphasizing C++ and Python programming. Guided and evaluated complex projects using Arduino, MicroPython, LabVIEW, and CODESYS, with real-life applications, hands-on, and practical experience.

Led an R&D team designing a 3-axis robot with a 3D laser camera, advanced software architecture, refined precision, efficiency, and object recognition by 33%.

Grade: 4.00 / 4.00

Activities and societies: Cloud Computing, Adaptive and Collaborative Systems, IT Management and Security, Distributed Systems, Web Design.

Completed a Master's degree in Computer Science with a perfect GPA of 4.00/4.00. Coursework included Cloud Computing, Adaptive & Collaborative Systems, IT Management & Security, Distributed Systems, and Web Design.

Grade: 3.80 / 4.00

Activities and societies: Assembly, Networking, Operating Systems, Data Structures, Concurrent, Object Oriented and Procedural Programming, Algorithms Analysis, Parallel, Distributed and Multi-threaded Algorithms, Electronics and IoT, Processor Design, Communication Protocols, Databases.

Obtained a Bachelor's degree in Computer Science with a GPA of 3.80/4.00. Key coursework covered Assembly, Networking, Operating Systems, Data Structures, Concurrent, Object Oriented & Procedural Programming, Algorithms Analysis, Parallel, Distributed & Multi-threaded Algorithms, Electronics & IoT, Processor Design, Communication Protocols, and Databases.