Hi, my name is Jesse and I'm a software engineer currently working in the actuarial space. In my day to day work, I use Python, SQL Server, and Databricks to create automated data flows and analyze complex financial movements.
In my free time, I am working on Presto, a hand-rolled guitar companion web app that will help you explore new chords, build chord progressions, and quickly create music charts. The tech stack we are currently using is TypeScript + React on the frontend, and Go + Postgres on the backend.
I've primarily self-taught in many skills, from mathematics to multiple musical instruments, and engineering is no different. My engineering attitude is to appreciate the context of what came before, but always ask why and challenge whether something can be done better.
Outside of work I'm a musician, avid sports player, amateur photoshopper and homebrewer. Feel free to contact me through LinkedIn if you'd like to chat.
We have created an algorithm that is able to produce every single chord that is physically possible to play on guitar (including some that you probably can't without a few extra hands), and wraps them in an intuitive user interface to help you explore your instrument and write more interesting chord progressions. We are also developing a "smoothing" algorithm, that will, for a given chord progression, identify the chord voicings that require the least amount of finger movement (akin to the concept of voice leading.)
Working in the insurance space, I manage the Python repository, Databricks environment and workflows, and SQL environment to process financial data and facilitate automated production of financial statements and various other reports. I also am responsible for developing, testing, and pushing new features to production using Github hosted on the cloud through Azure. I very regularly design or redesign complex SQL queries to get various slices of the data depending on end use. Going forward we are interested in implementing more OOP principles, CI/CD practices, and further refining our data modeling approach to incorporate best practices such as optimized indexing as our data footprint grows.
A React developer tool built as a Chrome extension that allows you to visualize component structure, measure performance, and track state with time-travel functionality. In contributing to releasing version 23, I tracked down and solved a nasty bug that had been causing loading issues for several versions.
My knowledge of statistics, financial instruments, and business led me to build financial models from scratch, dig into large datasets to find key drivers, and explain complex analysis to many audiences for billion-dollar blocks of insurance business for companies such as John Hancock and Nationwide.