Updated, Oct 25

1. Aniruddha Chakravarty October 25, 2020
CONTACT INFORMATION
GitHub: github.com/aniruddha-chakravarty E-Mail: aniruddhachakravarty99@gmail.com
Address/Phone: Available on request. LinkedIn: linkedin.com/in/aniruddhachakravarty/
EDUCATION
Junior Undergraduate, Overall CGPA: 7.5
Department of Computer Science and Engineering,
School Of Engineering, MIT-ADTU, Pune August 2017 - Present
1] Undertook coursework on algorithms, databases, networks.
2] Practicing additional projects involving the usage of the complete technology stack allowed me to
develop skills that enable me to fix complex problems better and faster.
3] Was a founding member of ACES, which was a society that we formed in 2018 to promote cod-
ing awareness. Successfully bought about a visible change in how programming was perceived by a
generic CS student. Conducted several peer-to-peer teaching workshops to teach programming to CS
undergrads.
RESEARCH INTERESTS
Machine learning, data mining, parallel and distributed processing, data visualization.
WORK EXPERIENCE
Heraizen (formerly Spaneos) — Bengaluru, India May 2019 - January 2020
Software Development Intern
• Used frameworks (Angular 8 and Bootstrap 4) along with vanilla JavaScript in order to add func-
tionalities to the product.
• Conducting QA Tests on the existing code base done to optimize usability and discover errors.
• Actively sought tougher projects as a way to build programming and service related skills.
• Oversaw scheduling of project milestones and actively co-ordinated with managers to ensure that
any proposed changes and challenges encountered were overcome in due time.
CURRENT RESEARCH PROJECTS
Realtime Collaborative Tool (September 2020 - present)
• Performed user interest surveys (with approx. 100 respondents) using relevant method to gauge
potential user preferences.
• Material UI and React were used to render Front End Components.
• Utilized Firebase to generate database of users with provision for a new user registration.
• Programmed with vanilla JavaScript.

2. psySSIST (March 2020 - present) : Deep Learning enabled Conversational Agent
• Performed user interest surveys (with approx. 100 respondents) using relevant method to gauge
potential user preferences.
• Programmed in vanilla JavaScript, such that the Sequence to Sequence library of DialogFlow was
deployed in order to act as a conversational agent to individuals that tend to be on the depression
spectrum.
• UI was rendered using Angular10 on various mobile devices to allow for cross platform flexibility.
• Findings from building the prototype are being submitted to relevant computing journals.
KEY PROJECTS
Ticket Management (January 2020)
• Created a Firebase NoSQL database of users with provision for a new user registration.
• Hosted using Firebase. Interface built using BootStrap 4.
• Programmed with vanilla JavaScript.
WeatherX (December 2019) : Live Weather Forecasting Application
• Used the accuWeather API in order to retrieve live global weather data.
• Performed REST API calls. Interface built using BootStrap 4.
• Programmed with vanilla JavaScript.
TECHNICAL SKILLS
Programming Languages: JavaScript, C++, Java, Bash, Python
Database: MySQL, MongoDB
Web Technologies: HTML5, CSS3, XML, Angular10, React, JSON, BootStrap4
Software Packages: Linux CLI, VS Code, Git, REST APIs, TensorFlow, FireBase + MLKit
REFEREES
Name: Suresh Kapare
Position: Assistant Professor
Organization: MIT-ADTU-SOE
Location: Pune, India
E-Mail: Available on request
Phone: Available on request
Name: Pranav M. Pawar
Position: Post Doctoral Researcher
Organization: Bar-Ilan University
Location: Ramat Gan, 5290002, Israel
E-Mail: Available on request
Phone: Available on request
Name: Kiranmayee Urva
Position: VP, GDT BU
Organization: Heraizen (formerly Spaneos)
Location: Bengaluru, India
E-Mail: Available on request
Phone: Available on request
Name: Swati Dhopte
Position: Assistant Professor
Organization: MIT-ADTU-SOE
Location: Pune, India
E-Mail: Available on request
Phone: Available on request