Amazon - Software Development Engineer Intern

I spearheaded the successful migration of the Goodreads Choice Awards website, transitioning it from legacy Ruby on Rails to a modern tech stack involving ReactJS and NodeJS, which significantly elevated user experience and overall performance. I engineered robust GraphQL APIs for optimized query fetching from a Ruby on Rails-based monolith database, promoting efficient data retrieval and streamlined maintenance. My meticulous approach to testing, utilizing Postman and performing AB tests, ensured precise data retrieval, optimal performance, and superior user engagement. Additionally, I oversaw the seamless cloud deployment of the website, enabling flawless accessibility for global users.

Techrupt Innovations - Machine Learning Intern

I conceptualized and executed an innovative hybrid recommendation system for the Learnin app, integrating diverse models seamlessly. My extensive research on recommendation algorithms fueled the development of a sophisticated, hybrid solution, optimizing user interactions. Utilizing the Keras Neural Network API, I developed a robust wide and deep model, significantly improving recommendation accuracy and elevating user satisfaction. This endeavor not only demonstrated my proficiency in machine learning and application development but also underscored my commitment to enhancing user experience through continuous innovation and refined technological approaches.

The Sparks Foundation - Data Science And Business Analytics Intern

I developed and meticulously fine-tuned advanced machine learning models using Python and the esteemed scikit-learn library, showcasing my expertise in model construction and refinement. I proficiently trained models and executed precise class predictions employing linear regression, k-means clustering, and decision tree algorithms. This demonstrates not only my analytical acumen and profound understanding of predictive analytics but also my ability to leverage diverse algorithms to draw insightful conclusions and generate accurate predictive outcomes, reinforcing my commitment to excellence in the field of data science and machine learning.

Projects on - Github

I have experience working on projects that span across low-level design, software engineering, and machine learning domains.

HospiRec

HospiRec is Mumbai's leading hospital finder and recommender, allowing users to effortlessly visualize and discover healthcare facilities on maps and receive tailored recommendations based on diverse criteria.

Github

Handwritten Digit Recognition App

Android application designed for recognizing handwritten digits. The app integrates a cutting-edge machine learning model and employs a peer-to-peer computing approach, incorporating a master-slave architecture, to ensure precise digit recognition.

Github

Low Level Design - Snakes and Ladder Game

This Java program encompasses the classic Snake and Ladder game, featuring support for multiple players and a strong foundation in object-oriented programming (OOP) principles.

UML Diagram