
Software Developer at Hess Services Inc.
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Assessing your cultural and operational fit
Linfield College and University of Oregon
Data Scientist
June 29, 2026 – Present
st-rsuite
March 19, 2026 – Present
RSuite date & time components for Streamlit, built with Components v2 (open source)
View Projectst-custom-static
November 30, 2025 – Present
Drop-in replacements for Streamlit's default loading animation. Swap out the running man with one of 13 polished alternatives in seconds
View Projectanamorpher-app
September 8, 2025 – Present
App to use anamorpher to plant messages on images. Made using an LLM, to be used against LLMs
View Projectclblast-llama-cpp-python
September 3, 2023 – September 3, 2023
A simple guide to compile Llama.cpp and llama-cpp-python using CLBLAST for older generation AMD GPUs.
View Projectembeddings-extraction
April 8, 2023 – August 26, 2024
Scripts for reading, extracting, and organizing data from either HTML or PDF documents and prepare them to be converted into embeddings for use in context-augmented LLM queries.
View Projectreal-time-translator
March 3, 2023 – Present
A quick app to translate speech in real time using the Whisper API for transcribing audio, translating, and then using Google Text-to-Speech (gTTS) to play out the translation.
View Projectaws-app
January 29, 2023 – Present
A simple app that uses an S3 bucket from Amazon Web Services to store and retrieve images made with DALL-E AI-image generator through OpenAI's API. This bypasses token limitations encountered on the web app version.
View Projecthigh-freq-forex-bot
June 22, 2021 – October 27, 2021
Python-automated program for finding and exploiting arbitrage opportunities in international currency exchange market using high frequency forex trading (HFX).
View Projectflowsym
April 2, 2020 – December 26, 2022
A Python API for simulating flow cytometry data.
View Projectgpvolve
July 6, 2017 – December 26, 2022
A Python API for computing evolutionary paths across genotype-phenotype maps and clustering of genotype-phenotype maps.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge AI/ML technologies and a proactive approach to learning and implementing new tools. The diversity of personal projects, from LLM context augmentation to real-time translation and high-frequency trading bots, suggests a curious and self-driven individual. However, the lack of team-based projects or professional experience beyond a single current role (with no specified start date) makes it difficult to fully assess cultural fit in a collaborative environment. The target role is 'Data Scientist', and the projects align well with the technical aspects of this role, particularly in the AI/ML domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear and concise, indicating good written communication for technical topics. However, no psychometric or English test results are available.