Get To Know More

About Me

Education

B.Sc. Bachelors Degree in Computer Science, Operations Research and Engineering

Expected: May 2025

I am very interested in the software development, backend and machine learning areas of computer science.

Here are some interests that don't involve coding =)

I love weightlifting. The gym is a safe space for my mental health and it motivates me!
I love watching TV shows. I enjoy thrillers and dramas with some of my favorite being The Sopranos, Game of Thrones, and Breaking Bad.
Watching and playing basketball. My favorite team are the 76ers. Challenge me to a three point contest!
Listening to music. I like to think of music as medicine for the soul. Some of my favorite artists are The Weeknd, Frank Ocean, and Future.

Explore My

Experience

Languages

Python

Experienced

Java

Experienced

OCaml

Experienced

JavaScript

Intermediate

HTML/CSS

Intermediate

TypeScript

Intermediate

C

Intermediate

SQL

Intermediate

Technologies

NumPy

Experienced

PyTorch

Experienced

Express.js

Experienced

Node.js

Intermediate

React.js

Intermediate

Git/Bash

Intermediate

AWS EC2

Basic

MongoDB

Intermediate

Full Stack Developer

September 2023 - Present

Hack4Impact

Utilizing the MERN (MongoDB, Express.js, React, Node.js) stack, agile and test-driven development methodologies to create a scalable platform, accommodating the growing demand for accessible clean water data.
Orchestrated the implementation of an admin login component using Firebase, which included a reCAPTCHA for added security, ensuring exclusive access for Clean the World members with admin rights.
Spearheaded the development of a dynamic frontend visualization map, benefiting 2.5 million people in Lima, Peru disconnected from water grids by enabling real-time region display with integrated filtered analysis markers.

Machine Learning Researcher

April 2023 - Present

Cornell Tech

Curated a robust dataset for 130+ Apple products, collecting carbon emission and technical details over the past 5 years for prepation in analysis.
Enhanced and expanded on the existing architectural carbon model proposed by Udit Gupta, optimizing a linear regression model using stochastic gradient descent to predict carbon emissions of different processors and hardware in Apple products.
Collaborated with S4AI Lab Group to increase the model's accuracy and communicated findings for data driven sustainable product design and forthcoming algorithmic footprint calculator.

Software Engineer Intern

May 2023 - August 2023

Berkeley Pharma Tech

Leveraged HTML/CSS to resolve website bugs and successfully integrate Metamask into the web3 application by utilizing hardhat node leading to 90% reduction of reported bugs.
Collaborated with a partner to develop the frontend of an web3 minting application using React.js, ensuring seamless crypotcurrency transaction functionality and user experience.
Implemented a solution to ensure 10% royalties from NFT trades were directed to our company, contributing to $100K+ revenue generation and business growth.

Development Intern

June 2022 - August 2022

Novartis Pharmaceuticals

Pioneered SQL transparency improvements, logging qualification assessments and creating systematic red flag identifications for 150+ vendors.
Implemented automated data infrastructure using JavaScript and VBA for governance plans that require yearly revisions, eliminating need for manual email reminders and ensured seamless renewals and compliance.
Transformed vendor data processing, delivering a 30% speed improvement for business continuity decisions through a cutting edge metrics dashboard, aided by department data scientist.