Work
My work sits at the intersection of Product Engineering and Applied AI. I build the "connective tissue" of modern software—architecting systems that allow AI agents to interact meaningfully with human workflows. Currently, I am building vertical SaaS operating systems at DevDash Labs.
Experience
DevDash Labs
Member of Technical Staff (Full Stack & AI)
Core engineer owning the end-to-end architecture for AI-native vertical SaaS products. I operate as the bridge between complex Python-based AI backends and high-performance Next.js frontends, ensuring that our 'Agentic' workflows are robust, type-safe, and user-centric.
Key Engineering Wins:
- Vertical SaaS Architecture: Unified the stack for Growth OS using Next.js 15 and FastAPI. Implemented a strict Pydantic-to-TypeScript pipeline that eliminated schema mismatch errors and accelerated feature velocity.
- Autonomous Agent R&D: Engineered Identifi, a self-driving market intelligence agent using LangGraph. It autonomously executes multi-step SERP analysis to qualify leads with zero human oversight.
- Complex State Management: Solved critical synchronization challenges in real-time streaming interfaces using Zustand and TanStack Query, achieving sub-100ms optimistic UI updates.
Products Built:
- WSHP (Growth OS): Intelligent outreach and lead qualification platform.
- Identifi: Agentic workflow for automated market signal detection.
- Atlantis: Research automation platform with editorial-grade UI and streaming responses.
DevDash Labs
Frontend Development Intern
Rapidly translated design concepts into production-grade software. Focused on establishing the company's UI/UX patterns (ShadCN/Tailwind) and building internal tooling that streamlined data operations.
Key Engineering Wins:
- Figma to Code: Converted complex prototypes into pixel-perfect React components, establishing the foundational design system.
- Internal Tooling: Built automated Markdown generation systems to streamline client data reporting workflows.
- Cloud Integration: Collaborated with AI engineers to debug serverless AWS Lambda functions for data ingestion pipelines.
Education
Acme College of Engineering
Diploma in Computer Engineering
- Focused on Software Engineering patterns and Database Management Systems.
- Built foundational projects in Python/Django and React.