For my senior capstone, my team and I decided to undergo a project that would be truly meaningful. We took our time to research and unconver an area of environmental research that was surprisingly difficult to tackle with the current tools on the market - air pollution monitoring. It is an obvious global issue with a variety of adverse affects to the health of humans and most other species we share Earth's land and skies with. The tools we currently monitor air pollution with are often bulky, fixed, and expensive, or otherwise inaccurate, and none provide a meaningful way of examining the collected data without extensive programming knowledge.
In this, AirMap was born in a 4 month long hectic process of all-nighters and extreme overwork by the five handsome electrical and computer engineering student you see here. We developed a uniquely shaped printed circuit board and mechanical enclosure with detailed attention to airflow and accuracy to create a sleek handheld device for monitoring ozone and particulate matter levels, which sends geolocated data to a cloud server with an intuitive and responsive web interface for viewing and processing the data. My work focused mainly on developing the web server, the front end, and firmware to integrate with the cloud server. This gave me extensive practice with firmware integration, building Django frameworks, designing beautiful web pages, deep analysis in Python with large data sets and numpy, and high level system design and implementation. This full solution was expertly engineered, and far beyond the expectations of a normal capstone team after many, many long nights, earning the AirMap team the first place prize. This is the type of dedication you can expect out of me as an engineer.
Watch the full presentation here, the "Holy crap that video is 23 minutes long, give me a 7 minute one" here, or the "I don't really care, dude. Give me a minute long touchy feely video" one here.

This is a fun project I worked on during the tumultuous election season. I wanted to play around with some natural language processing, and have since been calling this project "News of the World" or "Gain Perspective News" interchangeably, even though neither name is very good. The idea is to scrape RSS feeds on the web for articles originating in different parts of the world, and for a user to be able to compare how different areas are reporting on the same topic. Right now we have a localized to a certain subset of U.S. states, where searching for a keyword will return a carousel of articles where that keyword is important in the article. There isn't much for comparison yet, but the articles come nicely geolocated by state in an intuitive web interface, and what we have is useful for my personal interests in news. It's no Google Trends, but it's an interesting tool in theory and currently has a pretty massive dataset of preprocessed articles to play with. This was a great way to learn about creating a Django site, and my first exposure to building a web stack.

Look at that sweet rover! Yeah, I wish I built it. This is actually a product of Worcester Polytechnic Institute for their submission into a NASA robotics challenge years ago, that now resides in the Robotics and Intelligent Vehicles Research Laboratory (RIVeR Lab) at Northeastern under Professor Taskin Padir's direction. A couple students and I offered to help Dr. Padir with any open tasks in the lab, with hopes of learning the Robot Operating System (ROS) and undergoing a challenging task. We were asked to upgrade the software in the very outdated Oryx codebase and add features as time permits in my final semester. The ROS upgrade to Indigo using catkin was arduously completed, and my ability to use ROS skyrocketed.

Kumu Networks has developed technology that cancels Self-Interference, the "unwanted" energy that leaks into a radio's receiver while transmitting. As a result of the cancellation, the receiver hears no noise from its transmitter, freeing it to cleanly receive external signals. A radio using Kumu's self-interference cancellation technology can transmit and receive at the same time on the same frequency. Kumu was a great place to work and learn as a co-op, and I grew immensely both technically and professionally. My role here was support the test engineer for the high level system performance tests for their upcoming product, until I also took over his role when he left the company shortly into my time there, and I assumed all of his responsibilities in this fast paced start up. I learned Python here and haven't ever looked back, and quickly it became my best language for producing effective, well-structured, efficient, and readable code in a timely manner. I also developed as a test-driven engineer, strengthening my meticulous perspective in addressing edge cases and unexpected outcomes.

Charles River is a financial software company that develops the Charles River Investment Management System (CRIMS), a massive enterprise solution for investment firms to manage every aspect of their daily operations. This was my first co-op internship experience and I was thrown into a massive C# front end application and an equally large Java backend server with little programming experience before this point in time, and none in either of these languages. I had to ramp up to speed very quickly, and I proudly was closing my first bug fix tickets within the first two week sprint. I have an intense determination in positions where I don't feel qualified, and I proved this at Charles River, where they began to respect me as they would any of the engineers on the team with critical pieces of work. I was also put in charge of organizing and leading the live user testing, then generating feedback reports and identifying bugs for our team. I greatly developed as a programmer in the use of C#, Java, SQL and other technologies, but also as an engineer in problem solving, strong communication, and leadership.