Microsoft

August 2019 - Present Software Engineer @ Redmond, WA

As part of the Azure Notification Hubs team, I work on increasing the reliability of a large scale service that handles ~400 billion API requests/month and pushes ~300B notifications/month.

Facebook

Fall 2018 Software Engineering Intern @ Menlo Park, CA

As part of the FBLearner team, I supported the AI Infrastructure efforts that supports over 150 teams and 5000 unique internal users per month. My work primarily focused on optimizing dynamic resource allocation for ML jobs.

Bloomberg L.P.

Summer 2018 Software Engineering Intern @ New York, NY

As part of the Trading and Analytics Department and the Enterprise Trading Network team, I built a full stack application: a generic audit trail. It allows any Bloomberg terminal application to integrate with it so that when there's an outage, my audit trail can be used to track all changes, so we can easily diagnose what went wrong. Additionally, it serves as a standalone terminal application to allow cross querying functionality across multiple Bloomberg applications and tables. I was able to push it out to BETA by the end of my internship.

Bank of America Merrill Lynch

Summer 2017 Technology Analyst @ Charlotte, NC

As part of the global procurement team, I integrated and tested management level requirements with the current SAP Ariba system at the bank. Scaling was very important as this system handles $40 billion in transactions per year and supports 34,000 vendors. In addition, I wrote a GUI wrapper for the Ariba Integration Toolkit, that facilitates data transfer of master and transactional data between the Ariba system and the bank’s JDBC-based back-end system.

Northrop Grumman

Summer / Winter 2016 Software Development Intern @ Hollywood, MD

At Northrop Grumman, Mission Systems, I worked on Joint Mission Planning System. Specifically, I was part of the Precision Guided Munitions Planning Software team which operated in an Agile fashion (daily SRUMs, fast iterations, etc.). My biggest task was implementing the auto-calculate functionality so that project plans will auto-update upon modification. I learned a bit of XAML and .Net framework for the front end of the system. My code ultimately got pushed into production and is currently in use by the U.S. Department of Defense. I also attained a Secret level security clearance.

National Institutes of Health

Summer 2014/2015 Research Intern @ Bethesda, MD

I performed two consecutive summers of research on sickle cell anemia. Although most of my work was relating to wetlab work, I was able to integrate dynamic programming and bioinformatics into my work in generating interspecies comparisons of genomes. The bio-related matters involved analyzing the lncRNA in the HBS1L-MYB intergenic region for fetal hemoglobin expression and developing the Human T-Cell Leukemia Virus Type 1 (HTLV-1) – based gene delivery vehicle for hemoglobin expression. If any of this fancy terminology excites you, you can check out my research poster. I presented my exciting work at the annual NIH research festival.

National Institute of Standards and Technology

Summer 2013 Research Intern @ Gaithersburg, MD

This was my first "real" internship. As part of the center for nanoscale science and technology, I performed atomic force microscopy measurements on select samples for 3D topography, identified phyllosilicates via probe-sample interaction with AFM giving resolution 1000x the optical diffraction limit, and quantified stick-slip frictional measurements of phyllosilicates. I also learned the equally important skills of keeping a detailed lab notebook, overcoming the fear of asking questions, and presenting to a scientific audience.

Some cool side projects

Browse through some of the personal projects I've completed, and some that I am currently working on.

QuickAir

Machine learning model that predicts flight cancellations and delays before they occur.

HomePlate

Startup idea that allows baseball umpires to directly update the scoreboard which will eliminate scorekeeping mistakes and improve the pace of play. Consists of a watchOS app paired with an iPhone app.

Netflix Competition

The superbowl of machine learning competitions. My main contribution to the team was the KNN model. As a team, we achieved an RMSE of 0.86, 8.82% better than Netflix' Cinematch.

Chat Server

Fun local chat server made in Node.

Shakespearean Sonnet Generations

Using a Hidden Markov Model to learn rhyme and rhythm of Shakespeare so anybody can write Shakesperean-esque sonnets.

Sudoku Game and Solver

Just a Sudoku Game made using Tkinter. Also includes a solver that can solve any valid board using backtracking.

Predicting Student Performance

Enables educators and schools to detect students at risk for failure early so resources can be allocated accordingly. Also examines the effect of alcohol on academics.

Movie Reviews Sentiment Analysis

Some NLP to classify a movie review as negative or positive. 80% accurate.