JT McHorse

It's a .NET-based application for launching new phones and offers for existing clients. I liaised with design teams within the organization and external teams to create launch plans with many moving targets.

Acted as a senior front-end engineer working directly with internal stakeholders to help plan, design, build, and launch large and small scale customer-facing projects. I showcased new features within the SaaS application, helped clarify existing features, and helped drive analytics-driven customer software adoption.

An AWS Amplify, React-based application helping clients broadcast live events and analyze user traffic on each event session and breakout room. A core-architected re-usable system capable of monitoring thousands of users streaming simultaneously.

A Quasar-based web app designed to bring high-quality, vetted content to teachers and students in afterschool programs across the country. I was the core front-end developer for building cross-browser tools to manage accounts, contents, and payments.

I led front-end development for a user engagement ecosystem, focusing on core interaction features that drive community participation. I architected and implemented responsive profile, reaction, and rating pages using React, ensuring seamless cross-browser compatibility and real-time updates for user-level progression and community feedback loops. I developed sophisticated React components for interactive data visualizations, transforming complex user interaction data into accessible visual formats that enhanced community engagement analytics and user understanding.

I created engaging level-up animations for mobile applications, improving user retention through gamified progression experiences. I also resolved critical API integration issues using Trello for project coordination, ensuring reliable data flow between front-end and back-end systems.

My work also included actively collaborating with UX and product teams in improvement discussions, providing technical insights that influenced design decisions and enhanced overall platform usability. This project showcased expertise in real-time social platforms, interactive visualizations, mobile-responsive design, and cross-functional product development.

• Delivered production AI features for private-markets workflows by building Python/Django services for document ingestion, extraction, and portfolio intelligence automation.
• Designed NLP-driven processing pipelines to transform unstructured financial documents into normalized entities and analytics-ready records.
• Built and maintained responsive Vue dashboards for portfolio performance, attribution, and operational KPI monitoring with clear analyst-focused interaction patterns.
• Integrated model inference services into existing application workflows and data pipelines, with observability, retry logic, and failure-safe fallbacks for critical processing paths.
• Collaborated with product, research, and platform teams to transition model prototypes into production-grade services with measurable quality and uptime expectations.
• Supported compliance and reliability objectives by implementing secure handling patterns, audit-friendly processing steps, and service-level monitoring practices.