Experiences

During my academic education, I explored a range of topics from classic computer science fundamentals to advanced areas like AI and machine learning. This journey allowed me to dive into cloud computing, data science, and vision-language research, sparking my passion for innovation and problem-solving in technology.

Projects

Artificial Intelligence Intern

AI Engineer intern, researching ways to adapt Visual Language Models for domain-specific data.

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Car Lo

I worked with two students on an IoT project using Arduino Uno, IMU, and GPS to improve driving styles and reduce CO2 emissions, with a demo app showing results.

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Aws Solution Architect

The course introduced cloud computing, teaching me to deploy and manage open-source applications on AWS with a focus on cost constraints and Quality of Service (QoS).

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LocoBot

I fine-tuned Yolov5 on the Hagrid dataset to predict manual gestures for tracking and stopping, enhancing the robot's capabilities while retaining prior knowledge.

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MMR Driverless

As team leader, I coordinated the sensor system development for an autonomous vehicle, implemented the Stanley controller for trajectory tracking, and optimized skidpad performance for a formula student project.

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Ovarian Cancer Survival Prediction

The project uses Graph Neural Networks on cancer patient data to enhance prediction precision by integrating multiple data sources with attention layers.

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Placement of IoT Microservices in Fog Computing Systems: A Comparison of Heuristics

This paper proposes heuristics for efficiently placing microservices on fog nodes to enhance IoT application performance. It aims to minimize response times and meet Service Level Agreements by processing data closer to the sources, addressing the complexity and heterogeneity of fog infrastructures.

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Artificial Intelligence & Analytics Engineer

Full time artificial intelligence and analytics engineer consultant

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