Charles Beam
Software Engineer, Dat
About
Charles Here! 👋🏻
I am a Computer Science Senior at Louisiana State University.
I am currently working on a project in collaboration with Our Lady of the Lake Hospital and Cytovale to adjudicate sepsis cases utilizing large language models.
I am also an undergraduate researcher in the Intersectional AI and Security Lab where I am conducting research utilizing large language models and neural networks under Dr. James Ghawaly.
Experience
BASF
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Data Scientist/Software Engineer Internship
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May 2024 - Aug 2024
• Layed the groundwork for a future LLM project that will organize a file archive containing millions of miscellaneous files allowing for fast file lookup based on LLM-generated tags.
• Sped up primary application 12x through standardization which included caching, Kubernetes, partitioning binary files, and only loading relevant parts of the application. Documented process so other applications can be standardized.
Bryx
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Software Engineer Full Time
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Sept 2022 - July 2023
• Designed, developed, and maintained a top-tier Records Management System with stringent time-to-market demands and a fluid project scope.
• Initiated the creation of a lightweight, customizable, and accessible user interface library that will be implemented in the entire company’s products.
• Created and maintained company phone routing system utilizing 3CX through multiple iterations and rewrites to conform with growing company support expectations.
Bryx
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Software Engineer Intern
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May 2022 - Aug 2022
• Created a company ID card system utilizing LaTeX for PDF creation.
• Met with potential customers to understand market and client demands.
• Layed out groundwork for design and project structure of Records Management System.
Bryx
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Data Scientist Part Time
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Feb 2022 - May 2022
• Created scripts to get support tickets and call data from Freshdesk and 3CX. Cleaned and formatted data into insightful metrics for support team stakeholders.
• Worked with support team to cut down on total support time to increase throughput for more tickets/calls.
Computer Science House
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Executive Board Member (Socials Director)
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Aug 2021 - May 2022
On Executive Board managing organization with 100+ members. Responsible for hosting weekly meetings and planning social events.
Rochester Institute of Technology
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Ambassador
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Sept 2021 - May 2022
Worked events with 100s of prospective students and their families. Communicated with Computer Science Department heads on general student opinions/concerns
Louisiana Aerospace Catalyst Experiences for Students
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Programming Manager
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Dec 2019 - May 2021
• Programming manager on a team that launched a payload to explore saturated vapor pressure as a function of altitude by measuring atmospheric temperature, pressure, relative humidity, and altitude.
• Programmed board utilizing C++ and conducted rigorous tests to ensure the program did not fail during flight.
• Worked with team members to ensure the program interfaced correctly with other parts of the project.
Projects
For a more detailed description of each project please see attached documents
Government RFP Finder (In Progress)
• Creating a mass web scraping tool to scrape government RFPs (Request For Proposal) and allow businesses to filter RFPs to find jobs to submit proposals for. Webpages are scraped daily and each company’s filters are gone through to send a daily update feed of RFPs.
• Created an LLM agent for finding URLs and creating/checking generated parsers.
• Creating a recommendation system based on governments previous RFPs to find governments that have fewer RFP submissions and thus a higher chance for an RFP to get accepted.
Sepsis Case Analysis Utilizing LLMs
• Created a system in partnership with Our Lady of the Lake and Cytovale to adjudicate sepsis cases. If deployed, the project could speed up market adoption for these systems by allowing for faster clinical trials.
• Worked with a team of four people cleaning/segmenting data and fine-tuning OpenAI’s gpt-3.5 on hundreds of sepsis cases to improve adjudication accuracy. Overall, we got an adjudication accuracy of 82% with 0 false negatives.
• Presented to 80+ people at LSU’s AI Symposium.
Automated School System for Declaring a Students Location
Created a system that allows students to declare their location by scanning a RFID tag
Programming Manager for LAACES Northwestern State University Team 2020-21
Programmed board utilizing C++ and conducted rigorous tests to ensure the program did not fail during flight
Programming Assistant for LAACES Northwestern State University Team 2019-20
Assisted in the development of a payload utilizing C++. Payload was launched to altitude of over 100,000ft