Ethan Nelson

Stukent

• Designing and building MLOps infrastructure
• Building support ticket classification system to better improve product
• Using LLMs to create dynamic responses in product

Software Engineer

Stealth Startup

Using LLMs (ChatGPT/LLaMA) to streamline communication in B2C applications

Co-Founder (ML Engineer)

iProspect

• Leading efforts in automation of data delivery by architecting new pipeline logic and managing team of data engineers.
• Engineering new data pipeline that is increasing efficiency in runtime over legacy application by ~250%.
• Solving problems dealing with ad-hoc requests by having a solid understanding of SQL, data transformations and important KPIs. Revamped dashboard to aid in requests and highlight important KPIs.
• Building data scripts to transform and join data to help case study dealing with 50% unattributed data points

Senior Associate, Analytics | Data Science & Analytics Team

ARCTEC Solutions

• Automation of software installation tasks
• Modified existing code to stream data more effectively than natively designed.
• Presented research findings to a team of engineers.
• Created data dissemination tool to pull data from APIs and remote databases to store into a local database.
• Applied programming to signal intelligence applications

Snow Data Science

• Used data visualization to create readable visuals to help users understand data
• Researched unsupervised machine learning algorithms pertaining to k-means clustering and use of PCA
• Manipulated large dataset to work with application

Data Science Intern

Research and Business Development Center

• Checked quality of 80,000+ image dataset to assist in data pre-processing
• Assisted in training new annotators and creating training documents
• Lead team meetings

Data Reviewer

• Conducted research under a Machine Learning Engineer in order to increase working knowledge on machine learning algorithms specifically dealing with Neural Networks
• Contributing to 80,000+ image data set to train machine learning algorithm in recognizing product details

Data Annotator

Worked for RBDC to assist Lineage Logistics in point cloud classification project
• Studied new algorithms pertaining to point cloud classification
• Built neural network with Point Net and TensorFlow to classify point cloud data to help achieve a fully automated warehouse.
• Correctly applied algorithms to guess point cloud data.

Machine Learning Consultant

House Cleaning Captains

Assisted a local startup company in designing a website and increasing exposure
• Built website to increase public exposure and increased exposure by through use of SEO
• Maintained and updated website to help company maintain a professional appearance as well as allow workers to view/manage appointments

Frontend Developer

Brigham Young University - Idaho

• Followed and modified set plans to maximize efficiency in project execution by 100%
• Learned new skills pertaining to carpentry by listening and application
• Major remodels including changing 1000+ doors campus wide, maintenance of ceiling and construction of shelving units

Carpenter

I am a huge data guy. I have experience in software engineering, data analytics, ETL flows and machine learning/ data science.

I love using skills I have acquired to solve problems.


---------- More about me ----------

🔜 I am building a few startups. more to come here soon. needless to say I am using machine learning, LLMs and computer vision.

🏫 I am currently a CS student at Georgia Tech! I graduated from BYUI with a bachelors in computer science.

🛠️ I am a DIY pro. (carpentry, welding, cad, automotive) It is important to me to learn new skills so I do what I can to always give a problem a shot.

Co-Founder AI/ML/CV

Working on 2 startups!

1. Computer vision, ML and NN to solve problems in the manufacturing environment.

2. Chat GPT, LLM, and NLP to solve communication issues in companies.

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