🛠 Data Tools & Software

LinkedIn	Twitter	YouTube	GitHub	HuggingFace	Medium Profile	Towards Data Analytics	GlassBox

• Develop complex prompts to expose LLM edge-cases in maths reasoning • Annotate & tune speech-to-text models for linguistic precision • Full-stack model lifecycle: scoping → training → QA

Focused on upskilling in Python-centric, research-heavy prompt-engineering roles that intersect neurology, energy, aerospace, & urban tech.

Grew the community, curated speakers, and ran hands-on AI-prompting workshops.

• Delivered TEKS-aligned math & science lessons to 30-40 students • Embedded ed-tech & data-driven RTI strategies into daily practice

▶︎ Prior Roles (Oct – Dec 2023, Aug – Oct 2023)

• 4th-Grade Math & Science Teacher (3 mo)
• Guest Educator across 3rd-6th grades (3 mo)

Part of the aiOps Tiger Team—rolled out ML dashboards (QuickSight, Domo) & LLM prompt R&D.

▶︎ Data Analyst Intern (Mar → May 2023)

Automated ETL pipelines for partner districts; modelled student-outcome predictors (Python, Cognos, Domo).

Contract analytics (IBM Cognos, Plotly) & intensive ML skill-building bootstraps.

Automated production reporting (Power BI + Python + VBA) → 20 % throughput uplift, first data hire on site.

• Provided frontline tech support for iTV classrooms • Designed MS Visio diagrams of A/V layouts for events

• 10× Homer-Award‐winning customer service & sales • Optimised merchandising layouts to lift engagement

• Shot & edited ag-marketing footage (Canon C300) • Storyboarded campaigns for digital-first audiences

Electrical Eng., advanced maths, comp-bio & CS; Majored in University Studies – Math · Plant & Soil Science · Leadership

• 🌍 I'm a lifelong data scientist based in Austin, Texas, with a strong skill set in Python programming, and data analysis using Pandas, NumPy, PowerBI, and Excel.

• 🎓 I hold a Master's in Strategic Analytics from Brandeis University and a Bachelor's degree from Texas Tech University, majoring in University Studies in Mathematics, Agricultural Leadership, and Plant and Soil Science.

• 🔭 Previously, I interned as a Data Analyst for an Ed-Tech Coaching Company, engage2Learn, Inc., where I served on a multidisciplinary 🐯 Tiger team of ten specialists to integrate modern ML & AIOps Tools into our product offerings: Algorithmic prediction, GPT-4, chatGPT, and ML for ed-tech data, coaching effectiveness, and promoting educator well-being. They have many e2L projects, from determining use cases for large language models in our codebase to developing data visualization dashboards using Domo and AWS QuickSight.

• 🧩 I'm proficient in various tech tools and libraries, such as VSCode, ChatGPT, Plotly, Seaborn, OpenAI, GitHub Copilot, Sklearn, Machine Learning, OpenCV, Regex, NLTK, and SpaCy.

• 📚 I am also a Technical Author on Medium, contributing as a Top Writer for MLearning.AI with over 130+ published articles and 200 personal followers.

• 🌱 I'm expanding my knowledge in Neural Networks and Text Summation in Sklearn, and I am keenly interested in exploring Natural Language Processing and GPT-4 with OpenAI.

• 📫 Feel free to contact me on LinkedIn.

Project Name	Status Metrics	Focus	Est. Completion
Milton		Cross-platform GUI toolkit for “making your things just right” – written in Python with a minimal shell harness.	Q4 2025
SceneSort Clustering		CLIP-powered image / video scene detector that groups footage via DBSCAN / HDBSCAN, then auto-organises your folders.	Beta – Summer 2025
WatchMeOS		Experimental “gesture-first” operating shell that fuses pose-estimation, fuzzy logic & custom templates.	TBD
density_prompt		Research repo exploring prompt‐engineering heuristics vs. token-density for controllable LLM output.	TBD
RL-GPT		Reinforcement-learning pipeline for fine-tuning GPT-4 style models with custom reward functions.	Prototype – End 2025
GrahamsSimulations		Gallery of JS, HTML, CSS & Python mini-sims (physics, AI stick-figures, orbital mechanics, etc.).	Rolling
PySeas		NOAA buoy-cam harvester that chases the perfect sunset using computer vision & geospatial filters.	Alpha refresh in 2025
Lorebook Generator for NovelAI		Wiki-scraper & JSON builder that bootstraps lorebooks for NovelAI authors.	v1.0 candidate
UAP Report Analysis		NLP & data-viz dive into the 2021 UAP disclosure.	Maintenance
Reddit NLP Analysis		PushShift-powered Reddit text miner for trend sentiment.	Back-burner

Presentation Name	Topics	Focus	Date	Location & Organization	Link
Augmenting Your Workflow with AI Assistants: From GitHub Copilot to chatGPT		GitHub Copilot, chatGPT, LLMs	Feb 8th 2023	Austin Python Meetup, BlackLocus	Watch Here
Using The Faker Package to Solve Real Challenges with Synthetic Data	Synthetic Data, CRM, GPT-4, Ethics	Faker	2023-05-16	Austin/Washington DC Python Meetup	Watch Here

Project Name	Badges	Description
Drug Information Scraper		A Python script that scrapes drug information from the FDA website.
Clark Kent Reporter		This tool converts a traditionally formatted overview (in a readme file) into a populated Jupyter Notebook for data science presentations or findings presentations.

Project Name	Badges	Description
How Time Flies		A research experiment using requests and Google Images to illustrate how a search query visually changes when supplied with a year.

Project Name	Badges	Description
Genre Identity		Why should music be confined to the genres that society imposes on it? This project seeks to truly understand the inner workings of what makes a musical genre using Spotify's Python API.
Quantifying Disasters via NLP		Can NLP be used to quantify the impact of a disaster?

11/10/2022

Successfully Logged Six Days of Data from the NOAA API

There are promising results in the images that the PySeas project has produced. Finally, finding the perfect sunset is likely over the horizon!

The next step is to use CV2 to stitch these images together and optimize the algorithm to retrieve the photos at the most optimal time of day. I'm also looking into using any open-source equivalent of Google Cloud Vision API to detect the horizon line and crop the images accordingly. Again, CV2 may be able to do this, but at scale, it may not be the most efficient.

IBM has made strides toward collating Wikipedia knowledge and creating a knowledge graph. This is an excellent step towards creating a lorebook generator for authors. In addition, I've been working on a project allowing authors to use the NovelAI API to generate a lorebook for their world. This will enable authors to jumpstart their productivity with machine learning. I've been working on this project for a few weeks now, and I'm excited to see the results. I hope to have a working prototype by the end of the month.

November 21, 2022

So far, we have gathered data for WWDD from Gutenberg's corpus. What data can we collect about Arthur Conan Doyle that will enable us to solve this problem? We need every book he's ever written, around 80 books, provided through the Gutenberg repository. These books are included in the Data folder as text files; second, I would like to have anything he wrote that was a first-hand account because this is where we will get his personal preferences and his turns of phrase, and maybe even his personal biases, which are probably the most important things to gather once we gather his diaries, journals. Things other people said about him are the next step. Many people have researched historical figures for years, and repeating them seems like a useless task and is a waste of precious resources. So in this step, we want to gather any biographies about Arthur Conan Doyle and any articles about him, primarily if they were written about him in the time he lived. And this might be most useful if we were to gather the names of all of his second-degree connections. If we think about it, in terms of a LinkedIn network, though, Doyle's second-degree connections are the most likely to have the most accurate depictions of his preferences. This is, of course, an assumption that I am making. Once we gather the names of his second-degree connections, I think it would be an excellent step to assign weight to their accounts based on the boolean characteristic 'writer' (if they authored anything themselves besides what they said about Doyle).

If you are interested in what I have been working on lately, check out my latest projects (shown above). I include a short description of each project and a link to the repository. If you have any questions or comments, please feel free to reach out to me on Twitter or LinkedIn.

If you'd like to contribute to the hours I spend staring at my screen in deep concentration, I welcome any caffeine donations. ☕ Also, if you'd like to sponsor a project you see on my page, please let me know where I should focus my attention. Open Source is a big brave new world. Cheers!

You can also find me on Discord by clicking below.