Implement AI-driven or innovative solutions to automating extraction, processing, and interpretation of legal data.

• Built a system using Azure resources to allow internal clients to chat with attorney expertise database enabling hyper-focused query responses

• Developed both RAG document processing applications for extraction of data points from unstructured legal PDF documents

• Created a semantic search system to identify relevant individuals, claims, and dollar amounts in settlement agreements

• Designed and implemented a summarization tool leveraging OpenAI to deliver information regarding claims alleged in a complaint

• Built a data-processing tool to automate the reconciliation of client employee data sets, reducing the amount of time required for analysts to review data by over 50%

• Led a project to utilize APIs in order to gather store docket data in a SQL database

• Refined and instituted standards for documentation and requirements gathering for software applications

Researched and deployed software application to automate drafting of legal documents.

• Leveraged TensorFlow and various Python libraries (Scikit-image, OpenCV, SciPy, Pillow, etc.) to engineer AI solutions for identifying sections of legal documents

• Developed various features in Python and Elixir for extracting unstructured data, based on text patterns, coordinates, etc. from XML encodings of legal documents

• Deployed discovery request classifiers to FloydHub after thorough data analysis, labeling, and experimental training using fastText, ULMFiT, and ELMo

• Coordinated with other developers in planning overall system architecture

Utilized WordPress to create an elegant, consumer-facing website for The Bridge, a Kentucky-based restaurant.

• Programmed and designed components with PHP, JavaScript, HTML, and CSS to enable restaurant employees to easily update the site with photos and captions

• Created a responsive webpage with dynamic menus and effects for a fluid and uncluttered user experience

• Oversaw deployment using AWS

Intensive, 14-week programming bootcamp focused on web development utilizing various stacks.

Python: Python, Django, MySQL, Flask

MEAN: MongoDB, Mongoose, Express, Node, Angular 4

Java: Java, STS, Spring Boot, Javascript

Other: HTML, CSS, Bootstrap, React

Twap It

Recreation of Twitter which allows users to: write posts with a specified location, visualize trending posts on a map, and connect with other users

• Built by a team of four, using Java, JavaScript, Spring, MySQL, JSP, HTML, CSS3, jQuery, AJAX, and

Bootstrap

• Implemented map functionality and interactivity with Google Maps API

• Designed database models, repositories, and services to allow optimal data flow for client-side

requests and server responses

• Created page UX/UI using jQuery and AJAX

• Developed hashtag functionality that filtered data displayed on the map according to trending

hashtags the user was interested in

No WSTED Time

Planner with calendar and chat functionality that allows users to plan events with other users as well as create personalized, date-specific to-do lists

• Built by a team of five, using Mongoose/MongoDB, Angular 4, Express.js, Node.js, Socket.IO,

JavaScript, CSS3, and Bootstrap

• Added calendar functionality and capability for other view components to respond to user

interactions with the calendar in order to display events relevant to the date selected

• Designed a MongoDB schema that allowed users to add and edit events, invite other users to

events, and tied events to a specific date

• Implemented live chat functionality with Socket.IO

• Developed client-side requests and server responses that enabled users to write date-specific

journal entries and ensured that components would also display date-specific information

Collected data through interviewing various sources in order to write tech and medical industry-focused articles for monthly business-to-business newsletters

• Utilized Twitter to draw readership to headline stories when newsletters were not published

• Contributed to layout design of newsletters using Adobe InDesign

• Contacted various business managers, reviewed company earnings, and organized company data using Excel to produce articles relevant to specialty tech and medical markets