Ginan A. Email & Phone Number

Seattle, Wa, Us

California, United States

Reinforcement Learning from Human Feedback (RLHF)Criteria-Based Instruction-Following (CBIF)Multilingual Line Annotation (Arabic, English)Multimodal Data Training (Image Generation, Refinement, and Audio Synthesis)Collaborated with interdisciplinary teams to optimize Grok, a cutting-edge large language model (LLM), through RLHF and strategic refinement efforts, contributing to a 15% improvement in model accuracy across key benchmarks.Spearheaded data quality control and annotation strategies, ensuring datasets meet 99% accuracy standards, directly enhancing Grok’s reasoning, conversational depth, and adaptability across disciplines.Drove advancements in multimodal AI by generating and refining datasets for image and audio synthesis, resulting in a 20% increase in Grok’s multimodal task performance.Analyzed and interpreted model feedback to guide iterative improvements, contributing to a 25% reduction in error rates for instruction-following tasks.Designed and implemented scalable workflows and tools, increasing annotation throughput by 30% while maintaining precision, efficiency, and quality in high-impact data operations.Delivered insights that influence model development strategies, facilitating a 10% enhancement in user satisfaction metrics for Grok’s conversational capabilities.

United States

Conducted comprehensive information architecture and data privacy audits, contributing to a 15% improvement in system compliance and user data security.Designed and executed qualitative, quantitative, and mixed-methods user studies for AR/VR hardware and wearable technologies, driving a 30% enhancement in product development and usability.Piloted innovative haptic artifacts to explore novel interaction paradigms, advancing the field of immersive technologies.Recruited and managed scheduling for over 100 diverse participants using Ethnio, ensuring robust datasets and inclusive research insights.Collaborated with research scientists to optimize study designs, pilot methodologies, and improve study efficiency by 20%, resulting in faster iteration cycles.Conducted in-depth qualitative data analysis using MAXQDA, identifying actionable insights that informed key design decisions.Ensured secure data collection and storage processes, upholding participant privacy and aligning with ethical research standards.

Seattle, Washington, United States

Association for Computing Machinery, Special Interest Group in Human Factors in Computing Systems, Puget Sound ChapterOrganized and facilitated service design sessions and a whiteboarding workshop, engaging over 150 participants and driving actionable insights for nonprofit program improvement.Expanded organizational impact by connecting the nonprofit to expert speakers in UX research and design, leveraging a professional network of 1,500+ HCI professionals.Mentored five junior UX researchers, fostering skill development and contributing to their career advancement in the field of human-centered design.Collaborated with leadership to strategize and execute educational events, enhancing member engagement and achieving a 25% increase in event participation.Coordinated logistics and communication for multi-day events, ensuring seamless execution and positive participant feedback.

Notre Dame, Indiana

Led a project to design guidelines for holistic review software, bridging commercial off-the-shelf applications with client-specific needs within technological constraints.Moderated structured walk-through sessions, guiding clients through potential solutions with computer-supported collaborative work using advanced graphs, charts, and models.Increased user insight elicitation by 45% through the design and facilitation of participatory design sessions, focus groups, think-aloud techniques, and creative ideation methods.Extracted and synthesized client design requirements through affinity grouping and open coding, ensuring alignment with user needs and cognitive executive functions.Improved software usability by 35% by transforming research findings into actionable design recommendations focused on interactive features, data visualization, and entity navigation.Developed a detailed conceptual model of the client domain, enhancing communication between technical teams and clients to optimize software adoption.Authored a published paper in the ACM Human-Computer Interaction Journal and presented findings at the 2020 Computer-Supported Collaborative Work Conference.Awarded a five-year full-time position with a 20% first-year raise based on performance and impact.

Rochester, New York, United States

Led a project on advancing computational appraisal models using deep learning techniques and domain-specific datasets, resulting in a 20% improvement in predictive accuracy.Specialized in Human-Machine Interaction and Affective Computing, contributing to the development of adaptive natural language processing (NLP) systems.Trained pattern recognition and classification models on datasets exceeding 3GB, leveraging high-performance cluster computing for efficient data processing.Applied statistical methods, including regression analysis, data augmentation, and visualization, to enhance the interpretability and functionality of multi-modal NLP models.Designed and deployed personalized-agent tools, such as Roomkey, to adapt virtual user-interview protocols to pandemic constraints, achieving a 30% increase in user engagement.Translated complex research questions in Human-Computer Interaction (HCI) and Cognitive/Affective Computing into actionable research goals, driving successful project outcomes.

Greater Philadelphia Area

Spearheaded a project on algorithm design for the Aditum API, improving Chrome extensions for color-blind accessibility and enhancing web navigation for over 300,000 colorblind users.Conducted a detailed impact analysis on the target customer segment of colorblind web users, increasing API algorithm efficiency by 25% using insights derived from 10+ patent databases and 25+ scientific journal articles on pixel manipulation and display techniques.Refined and optimized API algorithms, achieving 20% improvement in color accuracy and 10% increase in user engagement by adhering to WCAG 2.1 standards and best practices for accessibility.Expanded the internal conceptual model for colorblind accessibility features, ensuring full compliance with WCAG guidelines and directly contributing to reducing barriers for colorblind users by 30%.Presented functional and non-functional requirements to cross-functional teams in weekly company-wide presentations, directly influencing the development of 3 vertical prototypes that enhanced user experience for over 300 beta testers.

Troy, Al

Led a project analyzing a mental health support chatbot, recruiting 20 end-users to evaluate a SaaS solution through ethnographic diary-style studies, providing deep qualitative insights into user experience.Synthesized findings from quantitative surveys, focus groups, and questionnaires, advising design decisions that led to significant product improvements and user satisfaction.Delivered actionable recommendations based on user feedback, contributing to the refinement of the chatbot and enhancing its effectiveness in delivering mental health support.Successfully influenced design changes that were implemented in the final product, resulting in a full-time position offer from the client based on performance and impact.

Bachelor’S Degree, Mathematics And Computer Science, 3.8

Activities and Societies: Honors and Societies: Alpha Lambda Delta Honor Society (Top 20% of freshman class) Omicron Delta Kappa Honor.

Semester Abroad, Human-Centered Computing, 4.0

Activities and Societies: Erasmus Student Network (HiS chapter) memberParticipated in the Human-Centered Computing (HCC) Program as part.

Phd - Incomplete, Computing And Information Sciences

Workshop, Design Accessibility

Activities and Societies: Recipient of Google “Explore Computer Science Research” Grant OurCS@UW+AccessComputing ScholarProject: “Avoiding.

Workshop, Research Methods

Activities and Societies: FOCUS and Intel ScholarParticipated as a FOCUS and Intel Scholar in workshops covering research, graduate school.

Workshop, Computer Systems Networking And Telecommunications

Activities and Societies: Google Stipend RecipientProject: “Software-Defined Network Interface Card (SoNIC)” Attended the program fully.