Dinesh Kannan

Dinesh Kannan

Seeking full-time roles in software engg. starting Dec '17 | CS grad candidate at Northeastern University

Download Resume Contact Me

About Me

I am a graduate student in Computer Science at Northeastern University, Boston (graduating Dec 2017). My master's specilization is in software development, Machine Learning and Big Data.

I'd like to position myself as a problem-solver-engineer. I am building my career with that perspective. My passion for technology has driven me to acquire diverse experiences in areas like - Internet of Things (IoT), product engineering, web development, AI, Machine learning, Big Data, Business Intelligence. These experiences let me pick up useful technical and soft skills along the way.

I am looking to connect with professional learning opportunities and with people who share similar passion and interests. Please feel free to reach out!

Work Experience

Software Engineer Intern - Keen Home (May '17 - Sep '17)

Location: New York, US

  • Incorporated Amazon Alexa’s voice capabilities to smart vents – first of its kind in the industry
  • Built a completely functional Alexa skill adapter with fully automated tests - an AWS Lambda function written in NodeJS
  • Improved platform integration capability by contributing to the company's OAuth testing efforts in NodeJS
  • Improved reliability and elegance of core services of the IoT platform by providing full code/branch coverage using JavaScript
  • Improved control over docker containers of services though automated scripts managing git versioning, tags and releases

    • Teaching Assistant - College of Computer Science, Northeastern University (Jan '17 - Apr '17)

    Location: Boston, US

  • TA for the course CS2800 : Logic and Computation
  • Tutored 80 students in lab to be able to write elegant and clean code in ACL2s - a dialect of LISP language
  • Helped students with their understanding of programming paradigms and logical reasoning
  • Graded exams / homework

    • Software Engineer Intern - Clean Harbors Inc. (Jul '16 - Dec '16)

    Location: Boston, US

  • Introduced and initiated the development efforts on an internal analytics application to monitor employee work expenses, improving cost cutting decisions greatly - built middleware in C#, front end in AngularJS, database in MS-SQL
  • Saved data storage by 30% by building a web-app to control the growth of production logs. The app replaced a manual workflow that involved two different teams to get the work done. The app reduced time and manual efforts by 95% - built middleware in C#, front end in AngularJS

    • Research Assistant - Playable Innovative Technologies Lab (Jan '16 - Jul '16)

    Location: Boston, US

  • Improved a game that crowdsources human intelligence inputs to find satisfying assignments to Boolean Satisfiability Problems
  • Built and deployed a cloud app from scratch to control gameplay, scores, levels, feedback, validations and payments to players using MEAN stack behind Nginx
  • Designed and implemented a REST-ful logging service for logging gameplay data from the cloud app using NodeJS / MongoDB. Exported user data for research through automated scripts in Python
  • Improved play rates of the game through enhancing user experience by redesigning key game elements on screen in ActionScript

    • Software Developer Intern - Visual BI Solutions (Dec '14 - Apr '15)

    Location: Chennai, IN

  • Replaced a manual staff clock-in system with a completely automated one – built a web-app to log and monitor
  • Added more data visualizations in SAP Lumira by developing extensions to the tool - CVOM
  • Simplified data imports into SAP Lumira for live analysis by building data access extensions

    • Research Assistant - School of Computing, SASTRA University (Aug '13 - Jul '14)

    Location: Thanjavur, IN

  • Researched and designed a new data-hiding algorithm which improved security by increasing distortions using Burrows-Wheeler Transform (BWT)
  • Researched various compression algorithms for Data compaction in Data hiding
  • Published the algorithm with exellent findings in Indian Journal of Science and Technology (INDJST) Paper found here

    • Latest Projects

    Machine Learning Experiemnts

    My explorations of statistical and machine learning techniques on interesting data problems

    project name

    Analyzed various disease datasets using various Statistical and Machine Learning methods.

    Datasets

  • Heart Disease Dataset
  • Prostate Cancer Dataset

    • iPython Notebooks

  • Heart Disease analysis
  • Prostate Cancer analysis

    • Methods

  • Linear Regression
  • Logistic Regression
  • Lasso regularization
  • Ridge regression
  • Linear Discriminant analysis (LDA)
  • Shrunken centroids approach

    • Other Methods

  • AIC, BIC, R2 : Subset selection
  • ROC Plots : Model evaluation
  • Individual scatter plots : Insights for correlation between variables - Data Exloration phase
  • Box plots : Outlier detection - Data Exloration phase

    • Massachussets Bay Transport Authority (MBTA) - Postpaid Billing system

    A post-paid billing software for MBTA's corporate riders

    project name
  • Introduced postpaid billing and card management for MBTA’s corporate program - a cloud based solution to manage a section of riders' cards and to bill them for usage every month
  • Worked in a team of four and coordinated its development with MBTA in an agile SCRUM team
  • Technologies used: Informatica (ETL), C# and ASP.Net

    • Pacman AI projects

    My implementation of various AI algorithms for UC Berkeley's AI course

    project name
  • Incorporated various AI algorithms to complete all projects in UC Berkeley AI course (CS188x) as a part of coursework
  • Built and compared various text classifier models to classify sentiments of movie reviews as final project
  • Built a sentimental classifier for texts as the course's final project

    • Visit this project on GitHub