As a Software Developer on the AI Copilot team at Appian, I build AI-driven solutions that enhance developer experience, improve application quality, and reduce operational cost. My work spans AI agent development, observability infrastructure, and intelligent automation.

Key areas:

AI Agent Development: Building AI agents that help developers create Appian applications — including SAIL interface generation, process model creation, and multi-step planning workflows. Contributing to Appian Composer, an AI-driven tool that helps teams plan and build applications.

AI Observability & Evaluation: Designed tracing and evaluation services that capture full execution trees for AI agent runs — enabling debugging, cost analysis, and quality measurement across the platform.

Production Readiness: Hardening AI services for production — structured error handling, resource lifecycle management, tenant isolation, and trace-based cost optimization.

Generative AI for Test Automation: Developed LLM-powered test case generation and model-graded scoring metrics, reducing manual testing effort.

Integrated tools like Playwright MCP to enable AI agents to dynamically explore and test web UI.

Technological Expertise

AI/ML: Anthropic Claude, AWS Bedrock, LLM orchestration, agent frameworks, MCP (Model Context Protocol), RAG, NLP, Kiro, Claude Code, Cursor, A2A

Development: Python, FastAPI, Java, Spring, TypeScript, React

Infrastructure: PostgreSQL, AWS, Docker, Kubernetes, Helm, ArgoCD, GitLab CI/CD, OpenTelemetry

Key Responsibilities and Achievements:

API Development: Led the development of REST APIs for the Ellucian Ethos Integration initiative, establishing and enforcing technical standards for REST APIs and data models.

Code Generation Tools: Developed advanced code generation tools that auto-generate C# source code and MOQ unit tests from JSON schemas. This innovation significantly streamlined the development process, reducing manual coding and testing efforts, and improving overall efficiency by automating repetitive tasks.

Extensible APIs: Designed and implemented extensible, no-code APIs using ERP configuration screens, empowering end users to create and deploy new resources without writing any code. This approach enhanced flexibility and reduced the time required for resource deployment.

Test Automation: Maintained a comprehensive suite of functional tests for API code coverage using

Postman Collections, integrated with a CI pipeline. Developed dashboards and tools to auto-generate these collections, ensuring thorough and automated test coverage.

Mentorship: Mentored interns who successfully transitioned into full-time team members, providing guidance and support to help them grow professionally and integrate into the team.