About Hunter

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Remote Work, USA

Professional Summary

I am a software engineer with over 5 years of experience.
I specialize in developing large-scale, efficient software solutions across multiple platforms.
Over my career, I have worked in a wide array of programming languages, particularly TypeScript, C#, Java, SQL, and Python.
I have a strong background in data structures, Agile methodologies, and RESTful APIs.
Attention Recruiters: I am very happy in my fully remote position.
- Do not contact me with in-office work or low-ball offers.
- Do not contact me about "AI startups" that are just API wrappers over OpenAI, Anthropic, or similar services.

Data Science API: Asynchronous decision engine API managing multi-stage data collection workflows with stateful task orchestration and third-party service integration

Architected and deployed a RESTful API using FastAPI and Python, leveraging async/await patterns with SQLAlchemy ORM for PostgreSQL database operations, implementing structured logging middleware and exception handling for production reliability
Designed task orchestration system managing stateful workflows with dependency validation, integrating with multiple third-party services via async HTTP clients, and implementing Pydantic schemas for type-safe data validation across API endpoints

Lead AI Initiatives: Designed and built Range's LLM-powered chat service, enhancing financial planners' efficiency by streamlining member context gathering and decision support.
AI Strategy & Infrastructure: Spearheaded the development of Range's AI strategy, establishing automation pipelines and AI-driven workflows that serve as the foundation for scalable intelligence across the company.
LLM Performance & Evaluation: Developed in-house AI evaluation frameworks using PromptFoo, LangSmith, and custom methodologies, ensuring data-driven improvements in RAG, MCP (Model Context Protocol), and Tool Use.
Full AI Stack Development: Engineered end-to-end automation pipelines for AI-driven financial insights, integrating OpenAI, Anthropic, and Gemini models, alongside a GraphQL-based Pub/Sub architecture for real-time chat.
Subject Matter Expert in Applied AI: Owned the integration of RAG, Tool Use, and custom API connectivity, ensuring LLM deployments go beyond simple wrappers to deliver high-impact, production-ready AI solutions.

Project - Cross-Dealer Groups: Engineered and deployed a system for enterprise business groups that contain multiple security dealers.
Project - Single System Logins: Led the development of an enterprise-scale, highly performant logins management system project.

Improved performance tenfold: Reduced load time from 32 seconds down to 0.2 seconds for over 1800 logins.
Modernized legacy code: Built a fast, modern customer interface in Ember.js using Typescript and Handlebars.
Mobile-first development: Developed mobile webviews in native mobile application, synchronizing with web application.

Cross-Team Collaboration: Coordinated with mobile developers to build synchronized web and mobile application pages, achieving a consistent user experience across all devices.
Feature Engineering: Developed advanced product features focusing on user management, specifically tailored for enterprise clients.
Performance Tracking: Monitored ticket metrics for performance and increase customer usage, leading to a 20% increase in user satisfaction as reported by security dealer feedback.
Beta Development: Partnered with quality engineers and product managers to develop beta features, maintaining a patch rate of under 10%.

Project - Monitoring Systems: Designed and implemented confidential C and C++ systems monitoring and data management tools for submarines with an expected service life of 42 years.
Project - Automated Testing Software: Developed Java-based virtual testing platforms and an automation tool, adopted by five additional developers, enhancing productivity by 20-25%.
Hardware Systems: Built systems for long-term hardware deployment and monitoring, following government procedures and testing documentation.

Project - PDMP Retrieval Automation: Created an automated workflow using Python scripts to securely retrieve confidential patient data, achieving 100% automation of the task while maintaining all HIPAA procedures.
Feature Engineering: Communicated directly with CTO and fellow team members to implement novel HIPAA-compliant features.