Providing expertise and feedback in Visual Design for models for a top AI lab.

• Architect and deploy agentic AI assistants for staffing workflows, integrating multi-agent orchestration, job posting, and operational escalation via conversational AI.

• Designed AI observability and evaluation workflows to monitor model drift, hallucination rates, and latency—translating complex system data into clear, actionable dashboards that improve model transparency and learning feedback loops.

• Partnered with engineers to visualize embeddings, evaluation data, and inference metrics, providing transparency and trust in assistant behavior and performance.

• Ran continuous discovery through user interviews, journey mapping, and usability testing to identify failure modes and guide improvements in conversational accuracy and task success rates.

• Designed conversation flows and fallback scenarios prioritizing clarity, empathy, and accessibility so that users could confidently complete tasks or be routed to live support when needed.

• Collaborated cross-functionally with Product, Engineering, and CX to identify and simplify high-friction employer workflows.

• Helped craft the assistant’s visual and personality design to align with brand tone across U.S. and UK markets.

• Ensured AI use cases and business objectives remained aligned, refining chatbot capabilities to support key staffing metrics and deliver tangible operational value.

• Mentor a cohort of UI/UX design students, offering guidance and feedback to help them achieve their learning objectives.

• Conduct regular one-on-one and group mentoring sessions to provide personalized support and address individual learning needs.

• Assist students in developing their design portfolios, providing constructive critique and suggestions for improvement.

• Stay up-to-date with the latest trends and developments in UI/UX design and share industry insights with students.

• Provide career guidance and assist students in job placement by sharing job search strategies, interview preparation, and resume building tips.

• Lead UX team for revenue mapping and ad tech solutions to enhance the delivery and targeting of Ads. Spearheaded AI-driven user research initiatives using AI/LLMs and cloud-based analytics to validate design decisions

• Balanced enterprise UX (internal/partner-facing tools) with consumer UX (global mapping and ad products), ensuring cohesive user experience using Figma

• Collaborate with engineers designing workflows that integrate with large-scale cloud infrastructure (GCP) to improve ad relevance and system performance.

• Design and optimize user-focused workflows in Salesforce, improving usability and efficiency. Collaborated with teams to align designs with user and business needs, leveraging Salesforce tools to enhance processes and engagement

Mitek

• Lead the design direction for key software, services, and engineered products within the building

industry. Collaborated closely with cross-functional teams to understand user needs, define design strategies, and create user experiences

• Spearheaded the redesign of a 3D software platform, enhancing collaboration between contractors, builders, and HVAC professionals to identify and address specification misalignments in the

schematics.

• Worked on refining UX for spec validation and real-time 3D rendering integrating with backend

engineering logic.

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L'Oréal Dec 2023 - Feb 2024 (Contract)

• Redesigned a native app and web-based e-commerce platform for L’Oréal, focusing on enhancing the user experience through intuitive interfaces, seamless navigation, and visually compelling design.

• These improvements led to increased customer satisfaction, higher conversion rates, and a more engaging shopping experience, driving overall business growth and reinforcing L'Oréal's position as a leader in the beauty tech space.