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(+91) 6378533796
prasadbalbir1056@gmail.com
Balbir Prasad
‡ github
Linkedin
EDUCATION
Indian Institute of Technology(ISM) Dhanbad, Bachelor of Technology in Mining Engineering
M M S S School, Nawadah 12th-BSEB
Rani Rashmoni High School, Kolkata 10th-WBBSE
7.88/10 December 2020—Present
83% April 2017 — April 2019
81% April 2015 — April 2017
EXPERIENCE
Software Engineer Intern
June-July 2023
Plaid Inc.
Remote
• Contributed to the development of the Slack Application to improve internal operational excellence.
• Worked on integrating dialogflow skill on the existing Slack app and setting up the contextual response of slackbot using
chatGPT API.
• Tech Stack- Python, ChatGPT-API,Slack API, Dialogflow
UG Research Intern
May-July 2023
IISc Bangalore
IISc Bangalore
• Worked on implementing the KD tree algorithm for finding the nearest point and setting up the priority-based assignment
using C++ and Python.
• Led contribution to processing the London TFL dataset, generating visualizations for load profiles, and implementing additional
criteria like cost and waiting time in the popular transit routing algorithm RAPTOR.
• Tech Stack- C++, Python
Data Science Intern
March 2023
CodeClause
Remote
• Worked on recommendation system for movies using Machine learning algorithms, NLP, etc.
• Implemented computer vision task on drowsiness detection for drivers using opencv & dlib library.
• Tech Stack- Python, Computer Vision,ML, NLP, Keras, flask, HTML, CSS
Teaching Assistant- ML/AI programme
Feb 2023
IIT(ISM) Dhanbad
College Campus
• Helped professor prepare the content of the course.
• Assisted my professor in the teaching of the content and doubt-solving of the students.
• Focused Topics- ML/DL, Supervised algorithms, Neural networks, CNN, Python
KEY PROJECTS
DALL-E: A Text-to-Image Generation Web Application
@Github
• Led the development of a cutting edge web application, DALL-E Clone using OpenAI API.
• Implemented a user-friendly MERN stack application, allowing users to create images and share them with the community.
• Implemented search functionality, enabling users to easily find specific images and posts within the application.
• Employed Cloudinary for efficient image storage and retrieval, enhancing the performance of the application.
• Tech Stack- Vite, React, NodeJS, MongoDB,Tailwind CSS, OpenAI API, JSDoc
FilmFlow: Demographic and Content-Based Movie Recommendations
@Github
• Implemented demographic filtering to recommend movies based on factors such as vote counts, vote averages, and popularity.
• Employed content-based filtering to enhance recommendations by analyzing movie descriptions, tags, and genres, using
techniques like TF-IDF and cosine similarity.
• Incorporated NLP techniques to process and analyze movie keywords, cast, and director information for content-based
recommendations.
• Conducted model evaluation using cross-validation techniques, measuring performance with metrics such as RMSE and MAE.
• Tech Stack- Python, Pandas, Numpy, Scikit-learn, NLTK, TfidfVectoriser
SKILLS
Strong
Intermediate
Beginner
C, C++, Python
Javascript, Tensorflow, Computer Vision, Tableau, Scikit-learn, Git,SQL
Pytorch, Java, NodeJS, ReactJS
ACHIEVEMENTS
• Selected as Microsoft engage Mentee, June 2022.
• Selected as Amazon ML Summer School Mentee, May-2022.
ACTIVITIES
Machine learning member at CyberLabs, official technical club of IIT(ISM) Dhanbad.
Student Co-Cordinatior AI Club, NVCTI-IIT(ISM) Dhanbad
March 2022 — Present
August 2022–Present
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