- I am a software engineer with over 5 years of experience.
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I specialize in developing large-scale, efficient software solutions
across multiple platforms.
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Over my career, I have worked in a wide array of programming
languages, particularly TypeScript, C#, Java, SQL, and Python.
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I have a strong background in data structures, Agile methodologies,
databases, and localized generative AI.
Software Engineer @
Range,
2024-Present
- 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: Owns 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.
Full Stack Software Engineer @
Alarm.com,
2022-2024
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Project - Cross-Dealer Groups: Engineered and deployed a system
for enterprise business groups that contain multiple security
dealers.
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Project - Single System Logins: Led the development of an
enterprise-scale, highly performant logins management system
project.
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Improved performance tenfold: Reduced load time from 3-12
seconds down to an average of 0.3 seconds for over 1800 logins.
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Modernized legacy code: Built a fast, modern customer
interface in Ember.js using Typescript and Handlebars.
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Mobile-first development: Developed mobile webviews in
native mobile application, synchronizing with web application.
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Cross-Team Collaboration: Coordinated with mobile developers
to build synchronized web and mobile application pages, achieving a
consistent user experience across all devices.
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Feature Engineering: Developed advanced product features
focusing on user management, specifically tailored for enterprise
clients.
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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.
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Beta Development: Partnered with quality engineers and
product managers to develop beta features, maintaining a patch rate
of under 10%.
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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.
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Project - Automated Testing Software: Developed Java-based
virtual testing platforms and an automation tool, adopted by five
additional developers, enhancing productivity by 20-25%.
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Hardware Systems: Built systems for long-term hardware
deployment and monitoring, following government procedures and
testing documentation.
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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.
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Feature Engineering: Communicated directly with CTO and
fellow team members to implement novel HIPAA-compliant features.