• Designing an ML model to predict the root cause of Wi-Fi degradation including access point misplacement, interference, and channel congestion (In Progress)• Worked with DevOps team to put into production the Wi-Fi trouble detection ML model, which required developing a docker file with BentoML, creating a pipeline between source data on Hadoop and the ML model API using Apache NiFi, and deploying on OpenShift• Designed an ML model to predict whether or not there is Wi-Fi trouble… Show more • Designing an ML model to predict the root cause of Wi-Fi degradation including access point misplacement, interference, and channel congestion (In Progress)• Worked with DevOps team to put into production the Wi-Fi trouble detection ML model, which required developing a docker file with BentoML, creating a pipeline between source data on Hadoop and the ML model API using Apache NiFi, and deploying on OpenShift• Designed an ML model to predict whether or not there is Wi-Fi trouble within homes, which outperformed the quality of service (QoE) based tool that was used at Bell Canada by 50 %• Performed a thorough exploratory data analysis (EDA) on a big data set using Apache Hadoop to identify the most important features affecting Wi-Fi degradation regarding home Wi-Fi Show less

Research area: Probabilistic Analysis ,Data Processing, Data Cleaning, Applied Machine Learning, Heuristic Optimization

Advanced Object-oriented (EECE 2030), EECS 3451(ECE 3451)• Helped students in interactive lab sessions• Guided Students in weekly office hours• Taught more than 100 students in monthly review sessions• Marked home works, midterm exam, and final exam

Research area: Resource Allocation in Two Way Relay Networks, Antenna Selection and Power Allocation in MIMO Two-Way Relay Networks

• Transformed SQL and NoSQL data sets (in order of 1 terabyte) into a decent form for analysis usingdifferent approaches of modern ETL/ELT• Conducted statistical analysis on 1 TB records to determine key factors for coverage planning and radioresource optimization• Performed strategic data analysis on the provided huge data set to find a way for increasing the coveragearea and reducing resource usage using Apache Hadoop, resulting in the increase of coverage area by… Show more • Transformed SQL and NoSQL data sets (in order of 1 terabyte) into a decent form for analysis usingdifferent approaches of modern ETL/ELT• Conducted statistical analysis on 1 TB records to determine key factors for coverage planning and radioresource optimization• Performed strategic data analysis on the provided huge data set to find a way for increasing the coveragearea and reducing resource usage using Apache Hadoop, resulting in the increase of coverage area by 15%and the reduction of resource usage by 18% Show less

Medical Telecom Designer.Software Developer: C#, C++, QTLinux Programming.Embedded Programming.