Photo of Jaspal Singh

Jaspal Singh

Master's Student

Degrees:Bachelors of Engineering in Electronics (Nagpur University, India), M.Eng.-In Progress
Phone:+1 (437) 997 0377
Office:Mackenzie Building ME Lab 2455, Carleton University.


Jaspal is a full-time Master of Engineering: Electrical and Computer Engineering student in the Department of Systems and Computer Engineering, at Carleton University, Ottawa, Canada. In addition, he is working as a Research Assistant, in the Sensor Systems and Internet of Things (IoT) Lab at Carleton University, to develop a cloud-based platform for Topic Modelling and Sentiment Analysis using Machine Learning & Artificial Intelligence.

Prior to starting his Master’s at Carleton University, he was working as Staff Software Engineer at Aruba Networks (a Hewlett Packard Company) on a highly acclaimed wireless network assurance cloud product called NetInsight, which uses Machine Learning to perform network analytics and diagnose issues before they occur in order to continuously deliver uninterrupted user experience & IoT.

Besides, he has over 13 years of professional work experience in the domain of Big Data, Cloud Computing, Wireless Networking, and Information Technology. In the past, he has worked for companies such as Hewlett Packard, Qualcomm Inc., Marvell Semiconductors, and Amdocs, to name few. He is passionate about building technically scalable and efficient software solutions that have a direct impact on achieving business goals. With the natural flair and aptitude to learn new technologies, he is always ready to take up exciting ventures. He has significant experience working for big customers, like Apple, HTC, Microsoft, Samsung and Sony, in a competitive environment.

His computer programming and software skills spread across a wide gamut of software tools and programming languages, as enlisted below.

Programming Languages: Scala, Python, Bash, C, C++, C#, Java, Groovy, JavaScript, NodeJS
Big Data Technologies: Apache Spark, Apache Kafka, Hadoop Ecosystem
Cloud Technologies: AWS, EC2, EBS, ELS, S3, RDS, IAM, Amazon Sagemaker
Databases: Cassandra, MongoDB, Redis, Elastic Search, MySQL, Parquet, HDFS
Container Technologies: Docker, Kubernetes
Logging/Monitoring Tools: Datadog, Logstash, Kibana, CloudWatch
Automation CI/CD Tools: Ansible, Jenkins, Circle CI, Chef, Puppet, Oozie
Web Technologies: HTML/CSS, AngularJS, ReactJS, PHP, Bootstrap, jQuery, Ajax
Tools: Git, MS Visual Studio, Eclipse, Jira, Confluence
Operating System: Unix, Linux, Android, Windows, Mac OS-X

Research Interests

Big Data Analytics, Big Data Engineering, Cloud Computing, Data Science, Internet of Things (IoT), Machine Learning