AI/ML Engineer with experience in machine learning, image processing, computer vision, and electrical engineering research. Worked on clinical decision support systems, steel microstructure analysis, mobile applications,…
AI/ML Engineer with experience in machine learning, image processing, computer vision, and electrical engineering research. Worked on clinical decision support systems, steel microstructure analysis, mobile applications, and power network optimization across academic and industry settings.
Developed and evaluated a robust machine learning-based clinical decision support system to predict patient prognosis.
Mentored and coached a team of six undergraduate students on machine learning software and meeting project goals.
Led a research team in developing dashboards and analytics platforms for data management and analysis including the development and evaluation of visual analytics tools.
Developed health technology innovation, biotechnology, and biomedical engineering products such as brain-computer interface (BCI) to detect brain activities.
Built a neural network model alongside the designing team to develop smart applications for early detection and management of patient conditions.
Developed a self-management tool (mobile application) to predict back pain in CLBP patients for a planned exercise.
Recorded the motion of users as they complete certain exercises.
Analyzed the exercise data with machine learning to predict a patient’s expected pain.
Performed a comparative study to evaluate prediction performance.
Used the Media Pipe library for high-fidelity body pose tracking.
Built a neural network model using edge detection and face detection to process the exercise videos.
Developed AI-based algorithm to process SEM images of steel microstructure and identified the steel phase fractions.
Used OpenCV library to teach the AI algorithm and classify the steel microstructure from experimental images.
Introduced a new solution to steel image processing with the ability of edge detection of the steel microstructure using an ML-based image processing algorithm.
Investigated various types of power system optimizers and their operations in power plants that are connected to the network.
Evaluated the operation of the live grid and implemented the estimation method to optimize the grid operation.
Researched the different conditions for the estimation process to optimize the operational control of a medium voltage network.
Conducted a simulation using ROS (Robotics Operating System) and Gazebo robotics programmed using python to optimize the network operation.
Designed and coded a mobile app to display objects in augmented reality using smartphones.
Developed a mobile app to track the user’s activities and diet habits.
Managed the sales of audio and video (AV) systems and commissioned those systems in the field.
Retrofitted the AV systems with their software and modify them as per clients’ needs.
Drafted detailed designs of AV systems and their specifications using computer-aided design (CAD) software.
Managed the project's timeline and led the communication between clients and suppliers.
Designed PLC panels and programmed them using SIMATIC STEP 7 software by Siemens.
Hands-on experience in the construction and assembly of PLC panels.
Worked alongside the technical crew to assemble an ATS panel.
Identified product's essential requirements, applicable standards, and policies according to our clients.
Developed and evaluated a robust machine learning-based clinical decision support system to predict patient prognosis.
Mentored and coached a team of six undergraduate students on machine learning software and meeting project goals.
Led a research team in developing dashboards and analytics platforms for data management and analysis including the development and evaluation of visual analytics tools.
Developed health technology innovation, biotechnology, and biomedical engineering products such as brain-computer interface (BCI) to detect brain activities.
Build a neural network model alongside the designing team to develop smart applications for early detection and management of patient conditions.
Developed AI-based algorithm to process SEM images of steel microstructure and identified the steel phase fractions.
Used OpenCV library to teach the AI algorithm and classify the steel microstructure from experimental images.
Introduced a new solution to steel image processing with the ability of edge detection of the steel microstructure using an ML-based image processing algorithm.
Investigated various types of power system optimizers and their operations in power plants that are connected to the network.
Evaluated the operation of the live grid and implemented the estimation method to optimize the grid operation.
Researched the different conditions for the estimation process to optimize the operational control of a medium voltage network.
Conducted a simulation using ROS (Robotics Operating System) and Gazebo robotics programmed using python to optimize the network operation.
Managed the sales of audio and video (AV) systems and commissioned those systems in the field.
Retrofitted the AV systems with their software and modify them as per clients’ needs.
Drafted detailed designs of AV systems and their specifications using computer-aided design (CAD) software.
Managed the project's timeline and led the communication between clients and suppliers.
Designed PLC panels and programmed them using SIMATIC STEP 7 software by Siemens.
Hands-on experience in the construction and assembly of PLC panels.
Worked alongside the technical crew to assemble an ATS panel.
Identified product's essential requirements, applicable standards, and policies according to our clients.
graduated with Master of Engineering in Systems & Technology with an emphasis on AI and developing cyber-physical systems from McMaster University in December of 2022. I have completed a Master of Science in Electrical Engineering in July 2020 from the Budapest University of Technology and Economics (BME) in Hungary.
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