Hello!
I’m currently a 3rd year undergraduate at UC Berkeley studying Electrical Engineering and Computer Science. My focus is on signals, controls, and machine learning. Outside of school, I hack together projects inspired by new things I’ve learned or problems I see in the world. I also write articles on Medium about tech and public policy.
Currently I'm learning: 3D modeling with Blender, Intelligent Investing
Education
Major: BS in Electrical Engineering and Computer Sciences (2021)
Courses: Signals & Systems, Data Structures, Efficient Algorithms & Intractable Problems, Digital Image Processing, Digital Signal Processing, Machine Structures
Awards
- UC Berkeley Fung Fellow (2020)
- Berkeley EECS Honors Society (2019)
- Congressional App Challenge Winner (2017)
- National Merit Scholar (2017)
Latest Articles
Designing a customizable, SEO-optimized personal website with React + Next.JS
For the past couple of years, my personal website was been hosted on a Heroku free dyno. It was Node.JS with an Express backend and...
End-To-End Image Compression using Embedded Zero-Trees of Wavelet Transforms (EZW)
Learn how to build an end-to-end image compression system in Python using the EZW Algorithm
Streamlining the Path to Care
Last week, I went to the ER for the first time. This article surveys the numerous inefficiencies which I observed through the whole ordeal.
A Hitchhiker’s Guide to OCR
Optical Character Recognition (OCR) is the process of extracting text out of images. There are numerous open source engines out there which make it incredibly...
Experience
Where I've Worked
Software Development Engineering Intern
Amazon Alexa
- Designed robust, efficient data pipeline on AWS to ingest 700+ applications daily into compliance management tool
- Set up alarming, monitoring, and testing (90%+ coverage) for early error detection in a full CD production environment
- Built user-friendly redriving webpage for failed imports using React.JS, AWS SQS, and AWS Lambda
Research Assistant
Abbasi Lab
- Analyzed ResNet’s ability to extract general features which could strongly predict neural responses in the visual cortex
- Developed efficient pipeline in PyTorch to train Ridge and Lasso regressions on features extracted from pretrained CNNs
- Reduced data loading times by 50% and optimized RAM by rewriting library functions from Allen Brain Observatory"
Software Engineering Intern
Branch International
- Strengthened data privacy compliance using OCR and natural scene text detection models to engineer an image redaction microservice, saving $800+ per day by producing comparable accuracy (99.9%) to 3rd party solutions
- Augmented customer service teams by training multilingual NLP stock message recommendation model
- Reduced transaction fees by introducing a new repayment channel to Mexico users by altering the Android app, writing an API integration with a payment provider, and designing a new database table"
Software Intern
DivIHN Integration
- Developed centralized data-storage application with analysis tools (pivot tables, reports, graphs, etc) with Visual Basic and MS Access to facilitate internal assessments conducted by Baxter’s Chief Information Security Officer’s Team
- Wrote browser automation macros to automate tasks for Deloitte contract, increasing team output and efficiency"
Organizations I've Led
Signals and Systems Head Teaching Assistant
UC Berkeley
- Designed Audio Fingerprinting (Shazam) lab to familiarize students with spectrograms and time-frequency analysis
- Create lab assignments, hold office hours, and teach discussion sections for class of 120+ undergraduate Berkeley students
- Developed online learning procedures to maintain instructional quality and student engagement during COVID-19 crisis
VP of Education and iOS Instructor
MDB (Mobile Developers of Berkeley)
- Spearheaded the creation of the MDB Blog and MDB resource page, providing technical resources and commentary to 1.5K monthly active users, increasing the visibility of the club on campus
- Mentored 5 teams through research, design, development and release of apps driven by ML, AR, and Computer Vision
- Coordinated with 7 instructors to design and teach an 80-hour all-encompassing iOS and Android curriculum to 17 Berkeley students over the course of 5 weeks"
Midwest Lieutenant Governor
Junior State of America (JSA)
- Planned and executed conventions attended by 700+ students from the Midwestern U.S by leading a team of 45 students
- Fought political apathy by organizing voter registration drives and activism campaigns, encouraging 100s of students to become civically engaged
- Developed confidence and communication skills of 50+ high school students through workshops on public speaking
- Drove convention engagement for 1000s of students by maintaining the JSA App, prompting online debate and discussion
Projects
March Madness with Machine Learning
Generated brackets for the March Madness college basketball tournament using Machine Learning
Voiceroom
A spatially-aware voice-chatting web application powered by WebRTC that emulates the experience of several ongoing conversations in a physical room
EZW Image Compression
An implementation of the Embedded Zero-Trees of Wavelet Transforms lossy image compression algorithm in Python
Viola-Jones Object Detection
Implemented the Viola-Jones algorithm based on the original research paper and published two-part tutorial on Medium
Anonym
An anonymous, decentralized blogging platform powered by the blockchain through the Blockstack API
Kozo
An anti-procrastination app which helps students build time management skills by automatically constructing a homework schedule for them