I'm Nishant, a second year student at UC San Diego. I've always been passionate about technology, and being a computer engineering major gives me the outlet to pursue my goals.
August 2021 - Present
At NASA, I am working with the Earth Observation System Data and Information System (EOSDIS) team on usage-based data discovery. We are developing automated and semi-automated mechanisms using natural language processing and machine learning to identify, document, and classify the use of EOSDIS Earth Observation data in research articles and applications.
February 2021 - Present
At Engineers for Exploration, I am assisting conversation researchers at the San Diego Zoo in identifying individual species vocalizations using machine learning and manual identification. I used React and Flask in concurrence with Docker to assist in development of the Audio Labeling System. Improved upon many of the existing features of the labeling system, such as the audio labeling page and the user experience to make it more accessible for volunteer users. Over the summer of 2021, I received the Undergraduate Research Scholarship to continue doing research with the group.
September 2020 - Present
NOMΛD is a socially responsible startup serving to provide affordable real estate rentals to the general public. I used Stripe, Node.js, and React to create a payment workflow for renters and a payout workflow for hosts. I also developed continuous integration pipelines for deployment on Firebase and AWS Elastic Beanstalk, as well as helped earn $50k+ in non-diluted funding, acquire 15+ listings in 2 countries, and complete UCLA Anderson Venture Accelerator.
As a Student Intern at PowerSchool, I assisted in organizing and running the Hour of Code community event for over 50 children of employees. I also shadowed with various departments of the company to learn more about their work.
October 2020 - Present
Courses: Advanced Introduction to Java, Data Structures and Algorithms, Discrete Mathematics for Computer Science, Mathematics and Algorithms, Computer Systems Architecture, Introduction to Analog Design, Physics Mechanics, Physics Electricity and Magnetism
Organizations: ACM@UCSD, ACM Dimensions
August 2016 - May 2020
Using the MERN stack, my team and I developed a web application that allows users to discover the most pressing issues in the world, as well as upload their own. Organizations can also add opportunities for people to volunteer at.
Using the UC Irvine Breast Cancer data set, we have developed a program that detects whether a tumor is malignant or benign (given a certain set of characteristics).
This application utilises the Microsoft Face API in conjunction with the Twilio API and Joke API to text you a number of jokes based on your mood. There are more jokes the less happy you are deemed to be.
Using Flask and MongoDB, we developed an application for students and tutors to more easily connect with each other, delivering personalized results to each user.
QRowd directly addresses the spread of Coronavirus using contact tracing and data visualization. With users coming from locations around the world, this open-sourced platform can provide the public with valuable data in regards to how and where Coronavirus has potential to spread.
Community enables users to add reports for either issues or solutions to issues present in their local community. Users are able to create a new report and add a title that briefly summarizes the item of interest, a brief description of the item. The user is also prompted to drag the location of the incident onto the map using a pin. Then, the user is prompted to upload an image. These items are then displayed on the map and the feed. Once the user has uploaded an image, they select a category for their issue/solution: public disturbances, natural disasters, food services, or vaccination centers. After adding an item onto the map, the user has the option to view the complete map of events, helping them recognize any urban disturbances or areas of interest near them. Users are also able to view a complete feed of events on the left-hand side and can upvote events that they believe deserve more attention. This feed of issues can be filtered by a type of event and is sorted by number of upvotes.
VoTeX live translates words spoken into the microphone into plain text. Then, this plain text is converted to LaTeX form for ease of access. Users are also able to edit and compile this LaTeX code directly, to edit any mistakes in translation or add to the document. They are able to save PDF or TEX files from this speech and stich together voice recordings for longer and longer assignments.
drift allows users to rekindle connections by following a simple user flow
1. Find friends you want to connect to!
2. Start a drift (a scavenger hunt) by selecting a friend or a random one and a travel radius
3. Advance through the stages of your drift, performing tasks as they come
4. Get points!
fresko is a early level implementation of a quality of food detector to help distinguish between good and poor quality food to help consumers make the right decision on the produce they will buy. Furthermore, it can help grocery stores quickly filter and decide when to sell their produce such that it is optimized where no food is unnecessarily wasted. Users can simply put the item under the camera of their phone and then the machine learning model will output whether or not the item is fresh, approximately how long it will last, and how confidant the model is in its prediction.
Reach out to me with any comments, questions, or concerns!
Phone: (916) 220 8794