Self portrait
My name is
Lance Hartman
Connect with me!
About
Education
I am currently studying computer science at the University of Pennsylvania. I intend on submatriculating into the Master's program. I hope to complete both degrees within the years 2023-2027.
Some applicable classes I have taken:
  • Fundamentals of Computer Science
  • Algorithms 1 & 2
  • Data Structures 1 & 2
  • Automata Theory
  • Databases/Relational Algebra
  • Introduction to Network Sciences
Interests
Recently, I have been interested in hardware-facing languages as well as web development. I have been working on a project that involves using CUDA alongside many of the most popular data structures and algorithms. I have also been working on a web product using Next.js called Jaimy.ai. Furthermore, I am becoming more and more interested in venture capitalism as well as entrepreneurship.
Technologies
I have explored a full-stack worth of technologies, ranging from GPU programming to web development. Here are some I have lots of experience with:
  • TypeScript
  • Next.js
  • Node
  • Tailwind
  • C++/CUDA
  • Java (AWT, Spring Boot)
  • Python & PIP
  • SQL
  • LaTeX
  • R
  • Git
  • Kafka
Hobbies
Outside of school, some of my hobbies include playing soccer, running, and playing video games. I also enjoy music, and reviewing bands and their albums. In addition to listening, I am learning how to DJ!
Work
MIAX
MIAX
Backend Engineer Intern
  • Used Java Spring Boot, Apache Kafka, and other standard technologies to build exchange backend systems.
  • Built and interacted with APIs through Python to read & write data from databases. Integrated this data into the BSX exchange.
  • Received industry-level instruction on software development, rigorous testing, deployment; Learned fundamentals of securities trading.
Jaimy.ai
Co-Founder, Principal Engineer
  • Developed an 'agentic meeting intelligence' platform that uses NLP to help companies manage meetings and clients.
  • Managed full stack integration of a TypeScript backend with a React powered frontend as well as a FireBase Database.
  • Integrated multiple APIs such as Microsoft, Google and Zoom meeting, calendar, and transcript as well as SES in order to make for a seamless user experience.
Jaimy.ai
CHOP
CHOP
Bioinformatics Intern
  • Assisted in the manufacturing of a knowledge graph, hosted on Neo4j, that allows doctors to interact with enormous amounts of data related to genetic disorders, treatments, and diagnoses.
  • Populated the knowledge graph with human phenotypic data.
  • Developed an interface that uses an LLM to translate between English queries and Cypher queries.
  • Designed efficient epistasis-identification algorithms, and implemented them using CUDA's C++ Toolkit to execute on a GPU cluster.
Projects
mix-ai
[In Development] mix.ai
An AI-powered music mixing platform that uses generative AI to help musicians create professional-sounding tracks.
[In Development] gpu::std
An implementation of the c++ standard library data structures using CUDA's C++ Toolkit that works with the GPU to make certain aspects of the standard library faster.
gpu-std
episcan parallelized
EpiScan Parallelized
EpiScan GPU
These two libraries are implementations of the EpiScan algorithm, an algorithm designed to detect epistasis in genetic data. Parallelized runs in R, and GPU runs on a local GPU using CUDA.
Antiderivative Calculator
A flask-based web application that uses MathJax to take in a user-provided function and calculate/display the antiderivative of it.
int-calc
pathfinder
Pathfinder Visualizer
A way to visualize Dijkstra's A* algorithm on custom grids powered byJava AWT.