Over the past couple years working for Running Tide I have been involved in a wide range of work — from processing and visualizing verification buoy data to carbon accounting to credit delivery. My initial responsibility when joining was to take ownership and rebuild our internal dashboard used for managing just about everything related to ops and MRV. That project evolved over time, and has culminated in a nextjs/vercel monorepo supporting a number of frontend applications with shared component libraries and authentication. Additionally along the way I helped upgrade our API services to use more uniform patterns structured around TypeORM and tsoa.
Other projects and focus areas include building out our deployment tracker to record and communicate carbon sinking operations, creating a customer credit portal with external authentication, revamping and migrating our Airflow jobs to Cloud Composer, and miscellaneous support for the verification hardware, machine vision, and ocean modeling teams. Recently, I have also been working closely with our carbon accounting team to build out an internal ledger in a standardized, auditable way.
Primary frameworks & libraries used: Typescript, NextJS, shadcn, tailwindcss, tanstack table & react-query, zod(ios), tsoa, TypeORM, PostgreSQL, Datadog, Airflow, and a number of GCP services.
From September 2021 up until this year I contracted for Advance Peace to make improvements to their internal platform as the program expanded with new partnerships in a number of cities across the US. As of January 2024 I have taken a step back but am still involved in a more secondary support role.
Fall 2021 I primarily focused on revamping the Life Management Action Plan (LifeMAP) framework AP uses to help fellows set and achieve goals. I added a new way for mentors to create new LifeMAPs and add goals which aims to be more intuitive based on mentor feedback. In addition, I streamlined the way mentors provide updates on the actions for a given goal, integrating them into the weekly log which mentors fill out for each fellow. I also increased the ease with which mentors and admins can interact with and export existing LifeMAPs.
Spring 2022 I built out the data summary component of the site, which conveys a number of metrics important to admins and stakeholders. These additions enable a more comprehensive understanding of fellows' progress over time as well as the ability to better judge the impact of our work by overlaying geospatial crime data with mentor interventions and outreach.
Being the only software developer under contract came with a number challenges, and I struggled at times with the lack of support. However, it was times like these when my motivation slipped that pushed me to remember why I am working, and I was able to refocus knowing I am helping contribute to an organization who's cause I believe in. In addition, the same lack of guidance that can be a source of frustration pushed me to explore and learn on my own, which has set me up to be more flexible and capable down the line.
The site is built with NodeJS and uses AWS and PostgreSQL to manage our users and databases.
The first portion of this internship was during my Senior Spring, where I worked part time while also completing classes. The majority of my time was spent implementing minor features and fixing bugs while familiarizing myself with my team's stack.
Over the summer, my focus shifted to developing a feature that would depict the set of comorbidities as a high level overview for a selected population. I integreated this feature into our platform using D3 to build a bubble graph visualization and Python for the computations on our stats server.
The TriNetX platform uses React for the frontend, Java for the backend, a Python stats server, and Snowflake for database management.
My primary project as a part of the Energy & Capital Markets team was to rewrite their previously bug-ridden Supply & Demand tool from the ground up. Given historical usage and market data and the set of changes to requirements and infrastructure, the aim of the tool was to predict future energy demand for a region. I used Python for the necessary computations and PyQt for the GUI.
The independent nature of this work felt very unique for an internship, as I was tasked with doing technical work for a non-technical team. It was over the course of this project that my love for coding was truly solidified. During the back half of the summer I spent pretty much all day every day working on my tool - and the hours would fly by. Having a job like this where I was able to settle in and just flow helped me realize that this was the work I wanted to be filling my days with in the future, and when the summer ended I was sent back to school more motivated and focused than ever before.
I used Tableau and Qlik to work on several different data analysis, visualization, and modeling projects. I assisted in the primary stages of design for a new tool to analyze and convey the quality of datasets.
The Summer after my freshman year I helped one of my close friends workshop the early stages of a photo print product / app idea. We spent a good deal of time brainstorming and product testing in a local print facility, and even more time designing and implementing the interface of our user app. The product offically launched in October 2017, and although we were forced to shut down production since none of us could commit to managing the operations, you can see my friend's post from the launch here.