Portifolio

I don’t only get things done, I get things to grow.

My past projects have delivered record-breaking metrics. I aim to leave an impact that lasts beyond my day-to-day operations.

40%

Faster load-time performance for pages transformed from client-side to hybrid rendering after refactoring React components into Next.js FC in Typescript.
Udemy

50,000

Data points simultaneously exchanged among drone agents in a Python insect simulator while still maintaining 30 FPS.
HCMI Lab, BYU

98.3%

Faster training speed for LSTM model trained on 30,000 rows of data each epoch. Training speed went from 180s / epoch to 3s / epoch.
DRAGN Lab, BYU

40%

Faster page load time for millions of users by migrating high-traffic web pages from static rendering to hybrid SSR.
Udemy, SWE Intern (2020)

50,000

Virtual agents simulated to study the communication dynamic of bee swarms. The resulting model can enable drone usage in search-and-rescue missions.
HCMI Lab, Research Assistant (2019)

98.3%

Faster training speed for LSTM predicting traffic patterns. Training speed per epoch went from 180 seconds to 3 seconds when trained on 30,000 rows of data.
DRAGN Lab, Co-author (2022)

A skill set reflective of my eagerness to learn

All skills mentioned below were learned practically by being heavily involved in a project or past experience

▪ Programming: C, C++, Java, Python, Javascript, Typescript, MySQL, Shell ▪ Frameworks and Libraries: React.js, Node.js, Flask, Spark, MongoDB, Pandas, PyTorch, NextJS ▪ Product: Git, Docker, Linux, CI/CD (Jenkins), AWS(EC2, S3, Lambda, RDS), Gradle, Maven, Conda ▪ Languages: Fluent in English, Arabic, Hebrew, and American Sign Language (ASL)

Bold in execution and excited by the most abstract ideas

I’m driven by a sense of achievement. I aspire to make complex ideas a reality. Such as predicting the mood of Spotify playlists by quantizing the "energy" your music gives. Details about the Spotify project, along with several other projects, can be found on my Projects page.

VIEW PROJECTS >>

I don’t only get things done, I get things to grow.

My past projects have delivered record-breaking metrics. I aim to leave an impact that lasts beyond my day-to-day operations.

40%

Faster load-time performance for pages transformed from client-side to hybrid rendering after refactoring React components into Next.js FC in Typescript. Udemy

50,000

Data points simultaneously exchanged among drone agents in a Python insect simulator while still maintaining 30 FPS.HCMI Lab, BYU

98.3%

Faster training speed for LSTM model trained on 30,000 rows of data each epoch. Training speed went from 180s / epoch to 3s / epoch.DRAGN Lab, BYU

40%

Faster page load time for millions of users by migrating high-traffic web pages from static rendering to hybrid SSR. Udemy, SWE Intern (2020)

50,000

Virtual agents simulated to study the communication dynamic of bee swarms. The resulting model can enable drone usage in search-and-rescue missions. HCMI Lab, Research Assistant (2019)

98.3%

Faster training speed for LSTM predicting traffic patterns. Training speed per epoch went from 180 seconds to 3 seconds when trained on 30,000 rows of data.DRAGN Lab, Co-author (2022)

A skill set reflective of my eagerness to learn

All skills mentioned below were learned practically by being heavily involved in a project or past experience

Bold in execution and excited by the most abstract ideas

I’m driven by a sense of achievement. I aspire to make complex ideas a reality. Such as predicting the mood of Spotify playlists by quantizing the "energy" your music gives. Details about the Spotify project, along with several other projects, can be found on my Projects page.

Let's get in touch

Faster load-time performance for pages transformed from client-side to hybrid rendering after refactoring React components into Next.js FC in Typescript.
Udemy

Data points simultaneously exchanged among drone agents in a Python insect simulator while still maintaining 30 FPS.
HCMI Lab, BYU

Faster training speed for LSTM model trained on 30,000 rows of data each epoch. Training speed went from 180s / epoch to 3s / epoch.
DRAGN Lab, BYU

Faster page load time for millions of users by migrating high-traffic web pages from static rendering to hybrid SSR.
Udemy, SWE Intern (2020)

Virtual agents simulated to study the communication dynamic of bee swarms. The resulting model can enable drone usage in search-and-rescue missions.
HCMI Lab, Research Assistant (2019)

Faster training speed for LSTM predicting traffic patterns. Training speed per epoch went from 180 seconds to 3 seconds when trained on 30,000 rows of data.
DRAGN Lab, Co-author (2022)