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Leticia Quintana
UX Researcher & Content Designer
Phoenix, Arizona
602-880-1972
E: leti.quintana@icloud.com
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Digital Product Design
Figma, Adobe CS, XD, Axure RP, Miro, Sketching, Graphic Design, Illustration, Design Systems, Wireframing, Prototyping, UI/Interaction Design
Web Development & Data
HTML, CSS, R, Python, SQL, JSON, YAML, Data Visualization
Project Management
Slack, ClickUp, Zoom, GitHub, Google Suite, Microsoft 365
Usability Research
Contextual Inquiry, Research (Quantitative & Qualitative), Task Analysis, Cognition, Interviews, Personas, Affinity Diagrams, Journey Mapping, User Flows, Information Architecture, Usability Testing, A/B Testing, Accessibility, Behavioral Analytics, Heuristic Evaluation, Service Design, Storyboarding, Ideation, Problem Framing
Artificial Intelligence
Conversational Design, Prompt Engineering, Natural Language Processing (NLP), Red-Teaming, Ethics, LLaMA, Mistral-7B, Gemini
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E-Solutions | San Jose, CA | NDA (Non-Disclosure Agreement) Contract
Collaborated with cross-functional teams to fine-tune and enhance Large Language Model (LLM) performance in natural language understanding, problem-solving, and task automation.
Engineered context, prompts, and multi-turn conversational flows across natural language, math, Markdown, JSON, YAML, HTML, and Python, improving functionality.
Crafted adversarial utterances to strengthen the model's instruction-following abilities and identify vulnerabilities through red-teaming exercises.
Utilized few-shot and one-shot examples, improving the model’s learning efficiency and reducing training time.
Leveraged cognitive principles and secondary research to expand the model's skillset and improve accessibility, including text-to-speech functionality.
Developed taxonomies, ontologies, and annotation guidelines to ensure quality, uniqueness, and variety of content.
Consulted on UI/UX tool enhancements, resulting in a 25% increase in annotator productivity.
Engaged in RLHF (Reinforcement Learning from Human Feedback) to align the model with human preferences in tasks such as intent detection, entity extraction, classification, and transformation.
Advised on ethical AI principles for content guidelines, adhering to UNESCO standards.
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Cognizant | Mesa, AZ | NDA Contract
Synthesized various sources of information and applied technical writing skills to create clear, engaging, and grounded model responses to user prompts.
Crafted 1000+ short-form and long-form content, meticulously adhering to rigorous style guidelines, including formatting, voice, and tone, tailored to the specific requirements for different content types.
Reviewed, edited, and annotated model responses, enhancing accuracy and relevance.
Exceeded production goals while maintaining a quality score of 90% or higher, ensuring a high standard of excellence.
Delivered presentations covering key principles for ethical AI and new content guidelines.
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Healing Hand Tech | Ireland | Internship
Led user experience research discovery for a stroke, upper-limb rehabilitation device, game, and EHR system, including accessibility research on stroke patients' motivation, cognition, and executive function.
Researched remote Occupational Therapists' needs, addressing HIPAA compliance, scheduling, documentation, follow-up processes, and identifying billable medical codes, driving increased therapist adoption.
Conducted competitive analysis and benchmarking, aligning the product with market trends.
Conducted surveys, usability interviews, cognitive walkthroughs and task analysis, to gather qualitative and quantitative data on user behaviors and identify areas for improvement.
Developed wireframes and a library of reusable UI components in Figma, incorporating Material Design and accessibility guidelines to improve consistency and inclusivity.
Contributed to cross-functional team meeting meetings and on ClickUp, improving team coordination and ensuring productive project management.
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Experis | Tempe, AZ | NDA Contract
Coordinated 200+ usability sessions for cutting-edge Virtual Reality/Augmented Reality (VR/AR) product.
Operated headsets, cameras, eye trackers, and motion capture sensors to collect rich multimodal data.
Handled participant recruitment, screening, onboarding, and off boarding.
Securely transferred all session data to Quality Assurance and documented findings in Excel.
Troubleshot software (Python), hardware connectivity, and operating system compatibility issues.
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Arizona State University | Tempe, AZ | Contract
Assisted the Principal Investigator with user experience testing, verfication, and validation for PERLS (PERVasive Learning System), a scalable e-learning cloud application developed in partnership with the U.S. Department of Defense (DoD).
Recruited, scheduled, and onboarded 14 research participants who met DoD criteria.
Designed and conducted user interviews, task analysis, surveys, and heuristic evaluations.
Refined user flows in Figma to improve system information architecture, usability, and overall effectiveness.
Implemented microlearning principles by ensuring content would intuitively guide teachers to deliver focused information and prevent exceeding course timeline.