Product and AI work across startup environments.

Product engineer on an AI SaaS, building interaction-heavy surfaces across chat, desktop coding agents, browser agents, onboarding, growth, and retention, and owning monetization end to end.

• Shipped core AI SaaS workflows across chat, desktop coding agents, browser agents, onboarding, growth, and retention using React, TypeScript, and reusable frontend architecture.
• Built ChatGPT Imports, Projects, chat history, and prompt-driven workflows, helping users preserve context, organize conversations, and reuse AI outputs across sessions.
• Refactored design-system and component patterns across multiple product surfaces, improving accessibility, UI consistency, implementation speed, and frontend review quality.
• Owned billing, subscription, checkout, and payment flows, enabling pricing experiments, lifecycle state handling, customer account management, and monetization workflows.

Built internal tooling for influencer-marketing operations: analytics, creator workflows, and campaign execution.

• Revamped internal analytics dashboards with React, TypeScript, and reusable UI patterns, giving growth and operations teams clearer visibility into customer workflows and campaign metrics.
• Built creator content submission and approval workflows, reducing manual coordination across operations, creators, and internal review teams during influencer campaigns.
• Implemented multi-select drag-and-drop bulk actions for campaign operations, reducing repetitive creator-management steps and improving internal workflow speed.

Built the frontend for a three-sided skill-assessment marketplace from ambiguous 0-to-1 requirements to launch.

• Built the frontend for a 3-sided assessment marketplace across validators, candidates, and recruiters, turning ambiguous 0-to-1 product requirements into launch-ready workflows.
• Designed consensus-driven validation, assessment, and review experiences with clear UX states, scalable interaction patterns, and trust-focused decision flows.
• Built real-time recording, proctoring, API integrations, and candidate integrity workflows to support reliable remote skill assessment and evaluation.
• Owned frontend architecture, release execution, and deployment from prototype to launch, balancing speed, maintainability, and rapid product iteration.

Led frontend delivery for an AI recruiting workflow SaaS, improving candidate pipeline management and recruiter productivity.

• Led frontend delivery for a recruiting workflow SaaS platform, improving candidate pipeline management, hiring operations, and recruiter productivity.
• Integrated multiple job boards and application sources into a unified recruiter dashboard, centralizing candidate intake, workflows, and pipeline visibility.
• Shipped recruiting automation and GenAI-powered product features from planning to release, supporting recruiter screening, outreach, and pipeline management workflows.

Built frontend systems for a real-time 3D indoor-positioning platform, integrating IoT telemetry with interactive spatial visualization.

• Built frontend systems for a real-time 3D indoor positioning platform, integrating IoT telemetry, location data, and interactive spatial visualization workflows.
• Developed real-time 3D indoor maps with React, Three.js, GSAP, state management, and rendering optimizations for smooth telemetry visualization.
• Improved indoor positioning accuracy from approximately 20cm to under 10cm through HDOP optimization, telemetry analysis, and iterative calibration.
• Managed production infrastructure with Docker, NGINX, load balancers, and networking configurations to keep real-time visualization environments stable.