Solution architect, DevOps architect, project manager, and technical lead for a number of projects. Using: ReactJS, NodeJS, GraphQL, NestJS, Django, Flutter, Python ML libraries, MediaPipe, Webgazer, OpenCV, MongoDB, MySQL, PostgreSQL, Kafka, Redis, Docker, Kubernentes, AWS, and IBM Cloud.

Developing and Delivering CISC490: Introduction to Data ScienceCovering topics on Exploratory Data Analysis, Data Wrangling, Text Analytics, Supervised and Unsupervised Learning, Big Data Management and Analytics, Analytics As A Service and Deep Learning.

Solution architect, DevOps architect, technical lead of the Tradvo social e-tradeshow platform using ReachJS, Laravel, MongoDB, Redis, Kafka, Docker, Kubernetes, AWS.

Solution architect, DevOps architect, and technical lead of the Remooz crypto-free Blockchain Marketplace using Hyper-ledger Fabric chain-codes and PHP.

Camper's Lair for Outdoor Gearhttps://www.instagram.com/camperslair/https://facebook.com/camperslair

Developing and Delivering the ELEC409: Bioinformatic Analytics course covering topics:- Introduction to Molecular Biology- Introduction to Machine Learning- Introduction to Big Data Analytics- DNA Alignment- DNA Sequencing - Phylogenetics- DNA Replication- Protein Synthesis

Working on the topic of Big Data Analytics As A Service (AaaS) under the supervision of Prof. Patrick Martin as a part of the IBM CAS and NSRC CREATE research in the Ultra Large Scale Systems (ULSS) program. In this work, we modify the Apache Drill, a framework for running SQL statements on almost any storage type, to support analytics in parallel. Thus, enables running different kinds of machine learning algorithms seamlessly in parallel on Big Data without worrying about the data size… Show more Working on the topic of Big Data Analytics As A Service (AaaS) under the supervision of Prof. Patrick Martin as a part of the IBM CAS and NSRC CREATE research in the Ultra Large Scale Systems (ULSS) program. In this work, we modify the Apache Drill, a framework for running SQL statements on almost any storage type, to support analytics in parallel. Thus, enables running different kinds of machine learning algorithms seamlessly in parallel on Big Data without worrying about the data size nor the used storage. The source code of the developed solution can be downloaded from here: https://svn.riouxsvn.com/qdrill/ Show less

Developing and Delivering the CISC220: System-Level Programming course [http://courses.caslab.queensu.ca/cisc220b]. Covering bash and C programming language topics.

Developing and maintaining systems required for QUIC operations including the http://quic.queensu.ca website and other internal systems.

Developing an SMS interface for an ecommerce site such that the system users can search the stock and make orders using only SMSs eliminating the need to have internet access.

Teaching various computer network courses.

Work on the ICIC problem in the LTE-Adv networks trying to reach an autonomous scheme that can cope with the dynamic nature of the cellular networks where users and required bandwidth load per cell is rapidly changing.

Developing web applications using Java, Python, javascript, MySQL and PHP.