Computing Science Graduate Student Association (CSGSA)https://www.sfu.ca/computing/csgsa/

Research Area: Network Security, Privacy, Traffic Analysis, Censorship CircumventionSupervisor: Dr. Tao Wanghttps://www.cs.sfu.ca/~taowang/

Fall 2024: CMPT 276 Introduction to Software Engineeringhttps://www.sfu.ca/outlines.html?2024/fall/cmpt/276/d200Summer 2024: CMPT 403 System Security and Privacyhttps://www.sfu.ca/outlines.html?2024/summer/cmpt/403/d100Spring 2024: CMPT 783 Cybersecurity Lab IIhttps://www.sfu.ca/outlines.html?2024/spring/cmpt/783/g100Summer 2023: CMPT 276 Introduction to Software Engineeringhttps://www.sfu.ca/outlines.html?2023/summer/cmpt/276/d100Spring 2023:… Show more Fall 2024: CMPT 276 Introduction to Software Engineeringhttps://www.sfu.ca/outlines.html?2024/fall/cmpt/276/d200Summer 2024: CMPT 403 System Security and Privacyhttps://www.sfu.ca/outlines.html?2024/summer/cmpt/403/d100Spring 2024: CMPT 783 Cybersecurity Lab IIhttps://www.sfu.ca/outlines.html?2024/spring/cmpt/783/g100Summer 2023: CMPT 276 Introduction to Software Engineeringhttps://www.sfu.ca/outlines.html?2023/summer/cmpt/276/d100Spring 2023: CMPT 371 Data Communications and Networkinghttps://www.sfu.ca/outlines.html?2023/spring/cmpt/371/d100 Show less

Computing Science Graduate Society Association (CSGSA)https://www.sfu.ca/computing/csgsa/

https://gdg.community.dev/gdg-burnaby/

Simon Fraser University Chapterhttps://gdsc.community.dev/simon-fraser-university/

• Worked on NLP research with Dr. Ted Selker, to help users improve their written communication on the Alphy Android and iOS apps.• Built the deep learning models and APIs for AlphyReflect™, Alphy's text analysis engine.• Wrote AWS Lambda functions with the API Gateway trigger to create scalable and secure APIs.• Deployed Hugging Face NLP models on AWS Sagemaker and created RESTful APIs for the SageMaker inference endpoints.• Hosted deep learning Flask APIs on AWS EC2… Show more • Worked on NLP research with Dr. Ted Selker, to help users improve their written communication on the Alphy Android and iOS apps.• Built the deep learning models and APIs for AlphyReflect™, Alphy's text analysis engine.• Wrote AWS Lambda functions with the API Gateway trigger to create scalable and secure APIs.• Deployed Hugging Face NLP models on AWS Sagemaker and created RESTful APIs for the SageMaker inference endpoints.• Hosted deep learning Flask APIs on AWS EC2 instances.• Built the analytics dashboard front-end for AlphyCo.com.• Wrote MongoDB aggregate queries for the analytics dashboard backend APIs.• Added a short-term memory to the Alphy news feed recommender system for more responsive recommendations.• Optimized Alphy app code to speed up transitions between screens.• Improved the speed and accuracy of the search functionality in the Alphy app using MongoDB Atlas Search.• Directly managed interns from Korean universities and helped them design scalable architectures for the backend APIs.AlphyReflect talk at MIT CSAILhttps://web.media.mit.edu/~lieber/Video/Selker-Alphy-20-Jun-22.mp4https://www.alphyco.comhttps://apps.apple.com/us/app/alphy/id1550645870https://play.google.com/store/apps/details?id=com.alphyReact Native, React.js, Next.js, JavaScript, Python, Natural Language Processing (NLP), Amazon Web Services (AWS), Node.js, Express.js, MongoDB Show less

• Worked with Alphy, a client of Techdojo Limited.• Learned front-end and back-end web development fundamentals using the MERN stack.• Built 'watchtime', a web app that helps users find what to watch based on the time available, as a project.https://watchtime-rajatdiptabiswas.vercel.apphttps://github.com/rajatdiptabiswas/watchtimeTypeScript, JavaScript, React.js, Next.js, Node.js, MongoDB, Express.js, Tailwind CSS, REST APIs

Summer Intern, Enterprise Marketing Performance Insights TeamHive to PySpark• Converted code written in Hive to PySpark• Increased code efficiency from 7-8 hours to 30-40 minutes (92%). Shell scripting• Created script to trigger HQL files present in a folder sequentially and log outputs and execution times.• Wrote a script to run a quality check on the output Hive tables after the execution of HQL files.• Created script to automate execution, logging, and… Show more Summer Intern, Enterprise Marketing Performance Insights TeamHive to PySpark• Converted code written in Hive to PySpark• Increased code efficiency from 7-8 hours to 30-40 minutes (92%). Shell scripting• Created script to trigger HQL files present in a folder sequentially and log outputs and execution times.• Wrote a script to run a quality check on the output Hive tables after the execution of HQL files.• Created script to automate execution, logging, and rerunning of Python scripts. Scheduling was done using cron.Internal Net Benefit Simulator Feasibility Analysis• Gained a business understanding of the problem at hand.• Analyzed the Python code and Jupyter Notebook provided by the business team and gave insights on whether it is possible to convert the code to a Java GUI application.• Executed code on sample data to figure out the complexity and efficiency of the code.Hadoop, Hive, Spark, PySpark, Python, Java, Maven, JupyterLab, Bash Scripting Show less

• Taught programming to first and second year students

• Won ‘Best Music Award’ at Red Carpet two years in a row• Created musical scores for the plays performed by my team

• Created posters and vector artwork for E-Cell’s social media page and event brochures• Used Adobe Illustrator and Adobe Photoshop

• Covered college events and fests• Used Adobe Lightroom, Adobe Photoshop, and Final Cut Pro

• Reviewed articles for the English section of the magazine • Had articles published in the magazine