Shawn Underwood

Shawn Underwood

Council Bluffs, IA | (712) 890-9246 | [email protected]

I'm a mobile and web developer with 8+ years of experience, specializing in AI/ML integration to create intelligent applications. I code daily to stay sharp and continuously expand my expertise, recently venturing into game development to push creative boundaries.

Resume Bot Built using DocumentQA

Skills

C#
[8+ years]
Python
[8+ years]
JavaScript
[8+ years]
.NET
Blazor, Framework, Core
Python
Django, Flask, FastAPI
JavaScript
React, Vue, Angular, Svelte
Azure Linode AWS Google Cloud Linux Windows Server ESXi Vmware Firebase Kubernetes Docker Kafka Railway
Vector Databases (Qdrant) SQL Postgres Mongo MySQL SQL Server SQLite
Retrieval Augmented Generation (RAG) LLaMA Models TensorFlow PyTorch Scikit-learn Keras FastAI OpenAI GPT Hugging Face Transformers IBM Watson LUIS (Language Understanding) Dialogueflow (Google)

Projects

Web

Blazor Survey

Survey Workflow Solution; created using Blazor (.NET 8) to offer seamless survey processing capabilities across web and communication(sms + email) platforms.

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Underwood Movies

A dynamic Vue.js and .NET Core (.NET 8) web application, featuring an efficient proxy architecture. Expertly deployed on Railway with Continuous Integration in a Docker container, ensuring robust performance and scalability.

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Twilio Communications Website

Developed with Python Flask, Twilio SDK, and Google Firebase(Realtime Database) hosted on Linux Ubuntu Server using AWS.

E-Commerce Website

Developed with Python Flask hosted on Linux Ubuntu Server with Docker using AWS.

Call Center Management Website

Developed with .NET Framework (4.6.1) and hosted on Windows Server.

Machine Learning

DocumentQA

A document interaction platform that enables uploading PDFs, DOCX, and TXT files to create AI-powered chat interfaces. Built with Svelte and .NET Core, it supports both cloud models (OpenRouter) and local models (Ollama) with embeddable interfaces for websites.

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AI Code Assistant

An intelligent code assistant that allows developers to upload repositories and receive detailed instructions for implementing new features, updates, and code changes. Built with Tree-sitter for code analysis and a dual-database system (PostgreSQL + Qdrant Vector DB), it provides contextual guidance by understanding the entire codebase structure.

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Code Completer

A VS Code extension that provides intelligent code completion using semantic search and LLM integration, offering context-aware suggestions and real-time code formatting capabilities. Features include context-aware code suggestions, interactive completion preview, intelligent code formatting, and confidence score ranking.

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Voicemail Machine

A smart voicemail management service built using Twilio, IBM Watson, and developed with Python FastAPI and Kafka hosted on Linux Ubuntu Server with Docker and Kubernetes using Linode. Redesigned and rebuilt using Vue.js frontend and .NET Core backend to improve performance and user experience.

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Andrew Huberman RAG Search Assistant

An AI-driven Retrieval Augmented Generation (RAG) search tool leveraging open-source Llama models and a Qdrant Vector Database. Users can query Andrew Huberman's podcast transcripts and receive relevant, engaging summaries, making the search experience more informative and enjoyable.

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Credit Probability Predictor

An interactive tool that leverages AI to estimate the likelihood of a user paying their credit card bill based on features like income, age, credit usage, and payment history. The model was built with Microsoft ML and Python for accurate predictions, while the Vue.js frontend and .NET Core backend provide a seamless, modern user experience.

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Stock Predictor

A sophisticated AI model designed to predict stock market trends, indicating whether a stock is likely to rise or fall based on metrics such as daily return, moving averages, RSI, and MACD. Built using Microsoft ML and Python for advanced analytics, with a Vue.js frontend and .NET Core backend to deliver real-time insights in an engaging, intuitive interface.

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Patent Search API

An API to validate US patents. Developed with FastAPI, Redis, and a managed PostgreSQL database cluster.

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Google Voice Assistant

Developed with Dialogue Flow and a Python Flask webhook, hosted on Linux Ubuntu Server using AWS.

Speech and Text Machine Learning Applications

Developed with Python TensorFlow.

Mobile

Android Apps

Android apps (Java & Kotlin) on the Google Play Store.

Games

City Runner

An endless runner game built with Unity and C#, showcasing dynamic gameplay, immersive graphics, and intuitive controls. Deployed as a web build on a Node.js server for seamless accessibility and performance.

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Experience

Software Engineer

Volano Software
DECEMBER 2023 - PRESENT
  • Maintain .NET 4.8 websites for clients, adding new features and resolving bugs.
  • Collaborate with a medium-sized team to build new websites using Vue.js/Nuxt and .NET Core.
  • Specialize in building communication services using Twilio and SendGrid.
  • Contribute to other projects by creating reusable services to streamline development.
  • Implemented performance optimizations, reducing load times and improving user experience across multiple client websites.

Software Engineer

FSC Edge
JANUARY 2021 - DECEMBER 2023
  • Led the production workflow as a software engineer, managing and greatly contributing to the python project processing United States patents.
  • Ensured that the production workflow consistently met our deadlines for deliveries and provided overnight fixes when needed to ensure the workflow was not interrupted.
  • Collaborated with colleagues in France, working on shifted hours, and traveled overseas twice for software training.
  • Created an API for validating US patents using machine learning to ensure that we were able to validate our work.

Software Engineer

ICF International
AUGUST 2016 - DECEMBER 2020
  • Lead daily standup / JIRA morning meetings with the Team and Directors.
  • Developed a large amount of JavaScript features to meet client's needs that I was able to hire a team and manager to further develop and maintain.
  • Developed a machine learning application using Microsoft LUIS and Python TensorFlow to analyze audio recordings, find discrepancies, and display them for quality assurance employees.
  • Developed a call center management portal with schedule and attendance features using ASP.NET and Azure.
  • Developed a machine learning application using Python TensorFlow with other NLP algorithms to analyze documents by the sentence and reorganize the data saving team members days of work.
  • Developed Python scripts for our San Francisco biology lab to help them capture and record species counts.
  • Developed a front-end site using Python Flask with Docker and Kubernetes to process imported data. That data is stored in a database and then is used by a Python TensorFlow machine learning application to process and provide an export for the user.
  • Developed numerous scripts using Python Pandas and JavaScript across the company to save employees time.

New Growth Engineer

Union Pacific Railroad
DECEMBER 2014 - JULY 2016
  • Project Lead in company-wide mobile app rollout which entails inventory management, system activation, software configuration to specific locations, project timeline management and working closely with stakeholders to ensure the project is completed in a satisfactory and professional manner.
  • Developed an Angular mobile application using Cordova for our company-wide mobile app rollout.

Education

The University of Nebraska at Omaha

Bachelors in Computer Science
AUGUST 2015 - MAY 2017

Iowa Western Community College

Associates in Computer Science
AUGUST 2013 - MAY 2015