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Atharv Naik />

Web Developer AI/ML

~$ ./about.sh

Hello! 👋 I'm an undergrad student at IISER Kolkata, majoring. I love building scalable backend systems with Django and Flask. Also, passionate about AI/ML and eager to apply knowledge in real-world projects!

Experience />

Django Developer Intern
  • SMC Backend upgradation project under the guidance of Dr. Dwaipayan Roy, CDS Department IISER Kolkata

  • Upgraded the Mess SMC API, incorporating endpoints for student usage analytics
  • Payment gateway integration using Stripe API and handling account balance and transaction history
  • Implemented endpoints to generate and email PDF Statements of Account.
  • Contributed to the backend design and implementation for seamless credit and debit processes
  • Writing Unit Tests for the API endpoints
April 2023 - Present
Data Science Intern
  • Summer project on Audio Data Analysis of Speech Data under the guidance of Dr. Haroon Rashid Lone, SIRL lab, Department of EECS, IISER Bhopal.

  • Collaborated with a multidisciplinary team working on video, audio, and text aspects of the project.
  • Conducted data analysis on a video dataset of 119 participants to predict social anxiety using their speech data.
  • Developed a feature extraction pipeline to prepare data for analysis.
  • Established a collaborative environment by setting up a Samba server for concurrent access to participant data by multiple teams.
  • Explored and selected relevant audio features for emotion detection, focusing on anxiety.
  • Implemented noise reduction techniques, including low-pass filters and spectral grating, to enhance audio quality.
  • Trained Random Forest and SVM classifiers on the extracted features, achieving an F1 score of 0.85.
May 2023 - July 2023

Projects />

PlayTube: Video Sharing Web App in DjangoView Deployment
  • Built and deployed a video streaming web app in Django
  • Developed video upload, transcoding, and streaming using Celery workers and Amazon S3 storage.
  • Built custom video player for HTTP Live Streaming of videos.
  • Integrated user authentication with social login (Google) via django-allauth.
  • Enhanced user experience with custom HTML email notifications and watch history for video resuming.
  • Achieved efficient content delivery through ABS streaming and Redis queue for asynchronous transcoding.
Detection of Blue Whale A-Calls from Audio Signals
  • Trained a CNN model to classify blue whale calls into an A-call or not
  • Extracted audio features from 26 thousand audio files for training
  • Deployed the trained model in a Docker container with Flask backend
Chess Engine in Python
  • A chess game implementation in Pygame library
  • The algorithm detects Checks and checkmate
  • Used Stack Datastructure to implement the undo/redo move feature
  • Game can be saved and resumed later

Skills />

Django
Javascript
Linux
AWS
Docker
Python
C
TensorFlow
Deep Learning
ReactJS

Contact Me />

© 2023 Atharv Naik