Education

Computer Science & Engineering (Masters)
2023-04 - 2025-03
Santa Clara University

3.9

  • COEN240 - Machine Learning
  • COEN233 - Computer Networks
  • COEN266 - Airtificial Intelligence
  • COEN279 - Design & Analysis of Algorithm
Computer Science & Engineering (Bachelor's)
2016-06 - 2020-05
Mumbai University

7.38

  • Software Engineering
  • Cloud Computing

Volunteering/Extracurricular

Graduate Research Assistant
2023-08 - 2023-12
Santa Clara University
  • Assisted in teaching Introduction to Algorithms and Mathematics: graded assignments, provided feedback, and addressed queries, including broad range of algorithms, and derivations, for diverse cohort of 60+ students.
Software Engineer
2018-07 - 2019-06
Mumbai University - Team Vaayushastra
  • Developed Java-based GUI to display details of RC Plane to Judges in SAE international, Texas.
  • Engineered Arduino code for real-time location tracking of the RC plane.
  • Designed and implemented functionality to open the gate of the RC plane upon button press, enhancing operational capabilities and user control, to drop the payload.

Publications

Machine learning-based: Selection of optimal cricket team based on the players’ performance
2020-10-07
IEEE

Designed an application to automate cricket team selection, to reduce human errors and selection bias.

Languages

  • English — Fluent
  • Hindi — Native speaker
  • Marathi — Native speaker

Interests

  • Reading — Sci-fi, Mythological fiction
  • Dancing — Urban, Bollywood, Locking, House
  • Musical instruments — Tabla, Guitar

Projects

ReactJS, Flask, Git, ML(Random Forest)
- 2020
Selection of optimal team — An app that removes human errors and bias.
  • Designed a web app to automate cricket team selection, attaining 73% overall accuracy rate.
  • Implemented Jest unit tests (97% coverage) for web app functionality, ensuring accurate cricket team selection.
NodeJS, Spring Boot, MongoDB, ReactJS, AWS
- 2024
Stock Market Notifications — Broker system overseeing key distributed algorithms and a modular client-server architecture
  • Crafted and implemented a robust broker system adept in overseeing vital distributed algorithms such as Broadcast, Leader Election, Consistency, Heartbeat Protocol, and Mutual Exclusion.
  • Employed ReactJs and Spring Boot to construct a modular client-server framework, augmenting maintainability.
Python, TensorFlow, Flask, AWS
- 2024
NLP Text Summarization Application — Text summarization app providing efficient condensation of textual content into summaries
  • Engineered NLP-based text summarization app proficient in condensing lengthy textual content into summaries.
  • Implemented deep learning techniques using TensorFlow for natural language processing, including tokenization, sequence-to-sequence modeling, and attention mechanisms.
  • Utilized AWS cloud services such as Lambda for serverless computing, S3 for data storage, and EC2 for hosting the application, ensuring scalability, reliability, and cost-effectiveness.
ReactJS, NodeJS, ExpressJS, WebRTC, RESTful API, JWT
- 2021
Real-Time Video Conferencing Platform
  • Devised real-time WebRTC-based video conferencing utilizing React Router and Redux.
  • Created scalable WebSocket server using Redis, boosting real-time chat and meeting collaboration.
OpenCV, Data Augmentation, Haar Cascade, LDA, SVM
- 2024
Face Recognition App
  • Investigated face detection via Haar cascades and HOG, feature extraction using PCA, LBP, and LDA, classification employing SVM, k-NN, and ensemble methods, achieving up to 83% accuracy.
  • Explored deep learning integration utilizing CNN-based convolutional feature extraction, facial embedding with networks like FaceNet, and similarity-based classification.
  • Delved into model training intricacies emphasizing cross-validation, hyperparameter optimization with GridSearchCV to refine accuracy and robustness.
Django, DTL, Server-side Pagination, Docker, AWS
- 2023
Dynamic Bookstore Management System
  • Created a dynamic book catalogue with advanced search functionality, to browse, search, customized cart.
  • Containerized the application using Docker, and deployed leveraging Amazon EC2.
ReactJS, TensorFlowJS, Object Detection
- 2024
Automated Item Recognition
  • Created an app that automatically recognizes items and adds them to lists, ready to be used for a wide range of tasks.