- Leading innovation in food preservation with a device that predicts spoilage.- Setting strategic direction to minimize food waste and enhance sustainability.- Developing partnerships to broaden impact and reach.

- Supervised five final-year projects, focusing on IoT, Data Analytics, and Machine Learning.- Managed the project lifecycle, from requirements to execution and review.- Utilized Python for data visualization and analysis, ensuring top-tier project outcomes.- Conducted weekly progress meetings and provided structured feedback for optimal results.

Worked on Enterprise Ireland Innovation Partnership Feasibility Project to determine if a Machine Learning algorithm could predict appliance failure to allow for preventative measures.-Feature engineering and data preprocessing were performed to acquire the data needed for processing.-Data labeling and visualizing of each sensor record were automated.-Developed different classification-based Machine Learning models to achieve the best results.-Each model was evaluated based on its accuracy, precision, recall, F1-Score, and confusion matrix.-Synthetic Minority Oversampling Technique (SMOTE) analysis used to resolve the issue was imbalanced with more normal data and very little failure data around 1.5%.-An accuracy rate of 98% was achieved in predicting the failure.-Tools Used: SQL, Excel, Python, Numpy, Matplotlib, Pandas, Sklearn, TensorFlow, PowerBI.

Collaborated closely with the VP of Engineering to oversee large-scale engineering projects, ensuring timely completion and delivery.-Served as the Technical Project Manager for the BBC HiFive (RISCV-based board): - Coordinated with global stakeholders like BBC Tynker and SiFive's USA team. - Supervised a team of 6 engineers in beta testing, IoT, Robotics, and AI projects. - Ensured smooth inter-departmental collaboration and communication. - Successfully ported MicroPython.-Contributed significantly to the Training Team: - Collaborated with experts in Verilog RTL, Design Verification, Chisel, and Computer Architecture. - Developed comprehensive course materials, lab manuals, and solutions. - Enhanced curriculum and overall course quality.- Spearheaded the development of the LM Velocity Checker: - Revolutionized code evaluation efficiency. - Led a team of 5 engineers. - Optimized evaluation processes for various source codes, including Verilog, System Verilog, Python, C/C++, and Scala. - Achieved a 97% time reduction for lab engineers in evaluation operations.- Tested FreeRTOS on the HiFive Unleashed board: - Wrote and tested drivers for communication ports: UART, SPI, I2C. - Interfaced the esp32 module, introducing WLAN capabilities using IP protocols.

Pioneered an IoT-driven automated billboard solution for Danish clients, utilizing emerging technologies and strategic partnerships to drive innovation and expand market reach.- Created and showcased proof of concepts, highlighting the company's technical expertise to clients and stakeholders.- Enhanced efficiency by streamlining engineering documentation and optimizing project management processes.- Conducted market research and competitive analysis to inform decision-making, while serving as a subject matter expert for clients and prospects.