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Work Background
Athena Software GroupCTO
Jun. 2025United States
HuaweiAssociate Researcher
Sep. 2024Key Responsibilities:Algorithm Development: Designing and refining machine learning models, including Tiny ML, to accurately predict energy patterns and efficiency in microgrid systems. This involves handling vast datasets and ensuring algorithms are both robust and adaptable to changing environmental factors. Data Analysis & Interpretation: Conducting thorough statistical analyses to interpret complex time series data. This role involves transforming raw data into insightful trends and actionable information, aiding in strategic decision-making processes. Innovation in Renewable Energy: Contributing to Huawei's commitment to renewable energy through the implementation of cutting-edge technologies. My work supports the optimization of photovoltaic systems, enhancing their efficiency and reliability. Collaboration & Knowledge Sharing: Working closely with cross-functional teams to integrate machine learning insights into broader energy projects. MLOps Implementation: Streamlining the deployment, monitoring, and maintenance of machine learning models in production environments. Ensuring the scalability and reliability of these models through effective MLOps practices. Cloud-Edge Computing Integration: Leveraging cloud-edge computing to enhance the performance and scalability of machine learning applications in energy systems. Ensuring seamless data flow and processing between cloud and edge environments to optimize real-time decision-making.
Lab2MarketEntrepreneurship lead
Mar. 2024 - Jun. 2024Toronto, Ontario, CanadaNSERC funded market research about AI enabled decentralized platform for EV charging infrastructure
Lassonde School of Engineering - York UniversityTeaching Assistant - Introduction to Embedded Systems ( EECS 2032 - Winter Semester 2024 )
Jan. 2024 - May. 2024Toronto, Ontario, Canada
Lassonde School of Engineering - York UniversityTeaching Assistant - LE/EECS 3101 Design and Analysis of Algorithms
Sep. 2023 - Jan. 2024Toronto, Ontario, Canada
HuaweiAssociate Researcher
Jul. 2023 - Sep. 2024Toronto, Ontario, CanadaKey Responsibilities:Algorithm Development: Designing and refining machine learning models, including Tiny ML, to accurately predict energy patterns and efficiency in microgrid systems. This involves handling vast datasets and ensuring algorithms are both robust and adaptable to changing environmental factors. Data Analysis & Interpretation: Conducting thorough statistical analyses to interpret complex time series data. This role involves transforming raw data into insightful trends and actionable information, aiding in strategic decision-making processes. Innovation in Renewable Energy: Contributing to Huawei's commitment to renewable energy through the implementation of cutting-edge technologies. My work supports the optimization of photovoltaic systems, enhancing their efficiency and reliability. Collaboration & Knowledge Sharing: Working closely with cross-functional teams to integrate machine learning insights into broader energy projects. MLOps Implementation: Streamlining the deployment, monitoring, and maintenance of machine learning models in production environments. Ensuring the scalability and reliability of these models through effective MLOps practices. Cloud-Edge Computing Integration: Leveraging cloud-edge computing to enhance the performance and scalability of machine learning applications in energy systems. Ensuring seamless data flow and processing between cloud and edge environments to optimize real-time decision-making.
Lassonde School of Engineering - York UniversityTeaching Assistant - LE/EECS 3101 Design and Analysis of Algorithms
Jan. 2023 - Apr. 2023Toronto, Ontario, Canada
Lassonde School of Engineering - York UniversityTeaching Assistant - Introduction to Embedded Systems (EECS 2032)
Sep. 2022 - Mar. 2023
Lagrange LabsDevOps/Blockchain Engineer
Aug. 2022 - Jun. 2023United StatesWith a versatile skill set that includes proficiency in Terraform, Docker technologies, and front-end and back-end development using React.js and Node.js, I have demonstrated capabilities in managing complex IT infrastructures. My tenure at Lagrange Labs involved optimizing cloud computing strategies, managing infrastructure as code, and containerizing applications, which allowed for streamlined operations. My hands-on experience and in-depth understanding of these technologies enable me to build scalable and efficient full-stack solutions.
MeshGrid HRNLP Engineer
Feb. 2022 - Apr. 2022Toronto, Ontario, Canada
Lassonde School of Engineering - York UniversityTeaching Assistant - Computing for Psychology ( EECS 1570- Winter Semester 2022 )
Jan. 2022 - Apr. 2022
Lassonde School of Engineering - York UniversityTeaching Assistant - Introduction to Embedded Systems ( EECS 2032 - Winter Semester 2022 )
Jan. 2022 - Apr. 2022North York, Ontario, Canada
Lassonde School of Engineering - York UniversityTeaching Assistant - Introduction to Embedded Systems ( EECS 2032 - Fall Semester 2021 )
Sep. 2021 - Jan. 2022Toronto, Ontario, Canada
Lassonde School of Engineering - York UniversityTeaching Assistant - Computational Thinking ( EECS 1011 - Fall Semester 2021 )
Sep. 2021 - Jan. 2022
ChargeLabResearch And Development Engineer
Sep. 2021 - Dec. 2021Toronto, Ontario, CanadaI was in charge of : Creating new machine learning algorithms for EV charging systems.
Weekly meetings with the chief technology officer and the preparation of industrial proposals.
Creating a timetable for the proposed projects using project management skills such as a Gantt chart
ChargeLabInternship Trainee
Feb. 2021 - Sep. 2021Toronto, Ontario, CanadaI was being Trained and learning about the structure of electrical vehicle charging management system
Lassonde School of Engineering - York UniversityTeaching Assistant - Introduction to Embedded Systems ( EECS 2032 - Winter Semester 2021 )
Jan. 2021 - Apr. 2021Toronto, Ontario, CanadaThis course introduces students to embedded systems. The students will learn the basic features of embedded system architecture, as well as how to design, implement, and test programs for embedded systems. Topics include microcontroller architectures, peripherals and communication protocols, interfacing, and program development, and testing. During this course, I teach C programming and bash scripting to students. Also, I teach students the Arduino due Board Programming.
Lassonde School of Engineering - York UniversityTeaching Assistant - Computer use : Fundamentals ( EECS 1520 - Winter Semester 2021 )
Jan. 2021 - Apr. 2021Toronto, Ontario, Canada
iBoost CanadaMember
Jan. 2021 - Sep. 2023Toronto, Ontario, Canada
Lassonde School of Engineering - York UniversityTeaching Assistant - Introduction to Embedded Systems ( EECS 2032 - Fall Semester 2020 )
Sep. 2020 - Dec. 2020Toronto, Ontario, CanadaThis course introduces students to embedded systems. The students will learn the basic features of embedded system architecture, as well as how to design, implement, and test programs for embedded systems. Topics include microcontroller architectures, peripherals and communication protocols, interfacing, and program development, and testing. During this course, I teach C programming and bash scripting to students. Also, I teach students the NXP LPC802 Development Board Programming.
MitacsInternship Program
Jul. 2020 - Dec. 2020Toronto, Ontario, CanadaResearch based internship in association with Lab2Market Program.
Lab2MarketEntrepreneurship Lead
Jul. 2020 - Dec. 2020Lab2Market (L2M) is the first national-level program in Canada to fund and equip graduate students and their faculty supervisors with the entrepreneurial skills needed to assess the commercial viability of their university-based research innovations
IEEEReviewer
Sep. 2019 - Nov. 2023
Lassonde School of Engineering - York UniversityResearch Assistant
Aug. 2019 - Jul. 2024North York, Ontario, Canada
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