Hello!
I’m currently a Masters Student at UC Berkeley studying Electrical Engineering and Computer Science. My focus is on signal processing 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
Undergraduate: BS in Electrical Engineering and Computer Sciences (2021)
Graduate: MS in Electrical Engineering and Computer Sciences (2022)
Courses: Data Structures, Machine Structures, Signals and Systems, Efficient Algorithms and Intractable Problems, Digital Signal Processing, Digital Image Processing, Machine Learning, Feedback Control, Embedded Systems, Probability and Random Processes, Optimization Models in Engineering, Marketing
Awards
- UC Berkeley Outstanding Student Instructor (2021)
- UC Berkeley Fung Fellow (2020)
- Berkeley EECS Honors Society (2019)
- Congressional App Challenge Winner (2017)
- National Merit Scholar (2017)
Latest Articles
Real-Time Signal Processing on the Apple Watch: Counting Exercise Repetitions
Design a real-time exercise repetition counter using basic signal processing concepts.
Our Framework for Thinking About Data Privacy Is Outdated
A discussion of informed consent and why it can’t easily be used for data privacy.
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 800+ applications daily for compliance management
- Configured alarming, monitoring, and testing (90%+ coverage) for early error detection in a full CD environment
- Built redriving webpage for failed imports using React.JS, AWS SQS, and AWS Lambda to enable fast error recovery
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
- Augmented customer service teams by incorporating Spanish and Hindi into NLP stock message recommendation model
- Engineered image redaction microservice with 95+% accuracy using OCR and natural-scene text detection models
- Introduced repayment channel to Mexico users by writing API integration with payment provider and updating app UI
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
Follow the Leader Drone
Designed control system for the Ryze Tello drone to follow a visual reference marker in 3D space. Developed with OpenCV and multi-threaded Python
EZW Image Compression
An implementation of the Embedded Zero-Trees of Wavelet Transforms lossy image compression algorithm in Python
JSON Mapping Transform
A Ruby gem to simplify ETL pipelines by transforming an input JSON into an output based on a transformation specified in a YAML template
Anonym
An anonymous, decentralized blogging platform powered by the blockchain through the Blockstack API
Robo-AR
Cyber-physical system where the user can control a robot (Romi) by setting waypoints in augmented reality on their iPhone
March Madness with Machine Learning
Generated brackets for the March Madness college basketball tournament using Machine Learning
Viola-Jones Object Detection
Implemented the Viola-Jones algorithm based on the original research paper and published two-part tutorial on Medium
CalSound
Website to visualize sound data from the California Coast. Designed in collaboration with NOAA to help ocean resource managers to understand the impacts of sound in the ocean and improve impact assessments.
Voiceroom
A spatially-aware voice-chatting web application powered by WebRTC that emulates the experience of several ongoing conversations in a physical room
Kozo
An anti-procrastination app which helps students build time management skills by automatically constructing a homework schedule for them