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Aniruddha Chakravarty Email: w111heckflosse@gmail.com
Mobile: +91-91722-29298
Github: github.com/aniruddha-chakravarty
Education
•
School Of Engineering, MIT-ADT University Pune, MH
Bachelor of Technology - Computer Science and Engineering; GPA: 7.63 / 10 Aug 2017 - Aug 2021
Coursework: Operating Systems, Data Structures, Algorithms, Artificial Intelligence, Machine Learning, Networking, Databases
Skills
• Languages: Python, JavaScript
• Frameworks: Vue.js (2/3), Express.js, Node.js, TensorFlow
• Tools: Kubernetes, Docker, GIT, MongoDB / Atlas, Postman, VSCode
• Platforms: Linux, AWS (EC2 / S3) , Heroku, DigitalOcean
• Soft Skills: Leadership, Event Management, Writing, Public Speaking
Experience
•
Fynd - (a JioGenNext Portfolio Company) Mumbai, MH / Remote
Software Development Trainee (Full-time, Contractual) Aug 2021 - Nov 2021
◦ Vue.js Client: Designed an internal platform with an API-first interface to monitor task completion status amongst
trainees.
◦ Discussion Forum Upgrades: Refactor forum for performance to handle large databases.
◦ REST API for Assignment Tracker: Implemented a Node.js / Express API capable of handling CRUD functionality
& handle authentication using JWT Tokens.
◦ Deployments: Used different AWS technologies like EC2/S3, RDS (Relational Data Store) to deploy front-end
mock-ups & persist data.
◦ Querying: Developed MongoDB queries to perform analysis on data and optimized queries for various operations.
•
Heraizen - (formerly Spaneos) Bengaluru, KA
Full Stack Trainee (Part-time, Contractual) May 2019 - Jan 2020
◦ Client side / Front-End Frameworks: Used frameworks (Angular 8) along with vanilla JavaScript in order to add
functionalities to the product and render front-end interfaces.
◦ Firebase: Used Firebase plugins (FirestoreDB) as a tool to automate functionalities.
Publications
Paper titled ⇒ File-Share App: A collaborative Tool : Presented at Proceedings of IEEE Pune Section
International Conference (PuneCon) on Dec 19, 2021 [Conference ID: 52575], (with Kalpak J., Mandar J., Nilima K.)
Short Term Projects
•
• psySSIST- Deep Learning enabled Conversational Agent (NLP, Sentiment Analysis, Human Computer
Interaction): Conversational Assistant prototype using Natural Language Processing and Emotion Analysis in order to be
the first point of contact seeking help between a patient (with a mental health condition or crisis) and an authorized physician.
Performed user experience mapping, user experience design, along with implementing wireframing.
Tech: JavaScript, Angular10, DialogFlow, FireStoreDB (Mar 2020 - Feb 2021)
Volunteer Experience
•
Lead at Association of Computer Engineering Students (ACES), MIT-ADTU Pune, MH
Conducted online and offline technical & soft-skills training impacting over 500 students. Jun 2018 - Jun 2020
Organised guest lectures with industry figures presiding.

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Resume, 6 January 2022

  • 1. Aniruddha Chakravarty Email: w111heckflosse@gmail.com Mobile: +91-91722-29298 Github: github.com/aniruddha-chakravarty Education • School Of Engineering, MIT-ADT University Pune, MH Bachelor of Technology - Computer Science and Engineering; GPA: 7.63 / 10 Aug 2017 - Aug 2021 Coursework: Operating Systems, Data Structures, Algorithms, Artificial Intelligence, Machine Learning, Networking, Databases Skills • Languages: Python, JavaScript • Frameworks: Vue.js (2/3), Express.js, Node.js, TensorFlow • Tools: Kubernetes, Docker, GIT, MongoDB / Atlas, Postman, VSCode • Platforms: Linux, AWS (EC2 / S3) , Heroku, DigitalOcean • Soft Skills: Leadership, Event Management, Writing, Public Speaking Experience • Fynd - (a JioGenNext Portfolio Company) Mumbai, MH / Remote Software Development Trainee (Full-time, Contractual) Aug 2021 - Nov 2021 ◦ Vue.js Client: Designed an internal platform with an API-first interface to monitor task completion status amongst trainees. ◦ Discussion Forum Upgrades: Refactor forum for performance to handle large databases. ◦ REST API for Assignment Tracker: Implemented a Node.js / Express API capable of handling CRUD functionality & handle authentication using JWT Tokens. ◦ Deployments: Used different AWS technologies like EC2/S3, RDS (Relational Data Store) to deploy front-end mock-ups & persist data. ◦ Querying: Developed MongoDB queries to perform analysis on data and optimized queries for various operations. • Heraizen - (formerly Spaneos) Bengaluru, KA Full Stack Trainee (Part-time, Contractual) May 2019 - Jan 2020 ◦ Client side / Front-End Frameworks: Used frameworks (Angular 8) along with vanilla JavaScript in order to add functionalities to the product and render front-end interfaces. ◦ Firebase: Used Firebase plugins (FirestoreDB) as a tool to automate functionalities. Publications Paper titled ⇒ File-Share App: A collaborative Tool : Presented at Proceedings of IEEE Pune Section International Conference (PuneCon) on Dec 19, 2021 [Conference ID: 52575], (with Kalpak J., Mandar J., Nilima K.) Short Term Projects • • psySSIST- Deep Learning enabled Conversational Agent (NLP, Sentiment Analysis, Human Computer Interaction): Conversational Assistant prototype using Natural Language Processing and Emotion Analysis in order to be the first point of contact seeking help between a patient (with a mental health condition or crisis) and an authorized physician. Performed user experience mapping, user experience design, along with implementing wireframing. Tech: JavaScript, Angular10, DialogFlow, FireStoreDB (Mar 2020 - Feb 2021) Volunteer Experience • Lead at Association of Computer Engineering Students (ACES), MIT-ADTU Pune, MH Conducted online and offline technical & soft-skills training impacting over 500 students. Jun 2018 - Jun 2020 Organised guest lectures with industry figures presiding.