Top Prompt Engineers - San Francisco

I explore AI in art, transforming algorithms into visual wonders. Creator, rule breaker, innovator — that's me.

I work in computational linguistics for Adobe Enterprise.

- Language Model Development: Demonstrated ability in language modeling, data annotation, NLU, and NLP; Proven track record in developing NLU features from system and annotation design through to modeling, evaluation, and deployment to production pipelines; Experienced with data collection and generation for model training and testing - LLM Modeling: Experienced in leveraging LLMs for feature development and related modeling techniques including in- context learning, prompt engineering, and prompt chaining to improve model inference - Data Analysis: Demonstrated experience in data analysis, transforming data and drawing insights from user experiences and behaviors to identify issues, determine solutions, and surface feature gaps and business opportunities - Effective Communication: Proven ability to communicate complex and technical concepts to a wide range of cross- functional audiences to drive features and programs forward; History of developing SOPs and best practices documentation - Programming and Scripting: Experienced in SQL, Python, Bash, and Git

Summary: - Have 5+ years of experience building and annotating multilingual language datasets, developing data pipelines, and evaluating NLP and LLM systems. - Skilled in Python, SQL, R, and statistical modeling (linear and logistic regression, frequentist and Bayesian approaches) for large-scale data analysis. - Proficient in engineering prompts for LLMs, analyzing linguistic data, and evaluating transformer-based models (GPT-2, LLaMA, DeepSeek) for real-world applications. - Experienced in authoring academic publications, managing NLP research pipelines, and with a strong background in cross-functional collaboration and presentation skills I recently got my PhD in Linguistics and Cognitive Science from the University of Delaware and I'm actively seeking full-time opportunities of data scientist, prompt AI engineer, linguistic engineer, and machine learning engineer. About my research: With a strong foundation in psycholinguistics, sentence processing, and experimental syntax, my research is motivated by a desire to understand the cognitive processes behind real-time language processing as human language is often ambiguous. I'm particularly interested in how grammatical constraints and morphosyntactic cues help disambiguate complex sentence structures, such as garden-path sentences and interpretation of ambiguous anaphoric pronouns (“pronoun resolution”). My work also explores the relationship between working memory and syntactic processing. I'm also interested in investigating the alignment between computational predictions and human behavioral experiments.

Prompt Engineer with a deep specialization in designing, optimizing, and deploying high-impact prompts that unlock the full potential of large language models and generative AI systems. My expertise lies at the intersection of artificial intelligence, human intent, and strategic problem-solving—where precision in language directly translates into performance, accuracy, and measurable outcomes. With a strong command of prompt architecture, context engineering, role-based prompting, chain-of-thought optimization, and iterative refinement, I help organizations transform vague inputs into reliable, scalable, and production-ready AI outputs. I work extensively with advanced AI models to enhance automation, content intelligence, research synthesis, decision support, and workflow efficiency across multiple industries. Beyond prompt creation, I bring a research-oriented mindset—analyzing model behavior, reducing hallucinations, improving response consistency, and aligning outputs with business objectives. I collaborate closely with product teams, developers, marketers, and executives to ensure AI solutions are not only technically sound but also strategically aligned and ethically

Data Scientist and Prompt Engineer with experience training large language models, building machine learning pipelines, and applying statistical modeling to real-world problems. Skilled in Python, SQL, and cloud platforms (AWS, Azure). Strong background in applied data science, with professional experience in prompt engineering, AI alignment, data curation, and building interactive analytics.

As an engineer who is passionate about human-computer interaction, I have a wealth of experience and skills in this field. I have an in-depth understanding of the design and development of human-computer interactions, and am able to combine user needs with technical implementations to create a great user experience.

My QA background allows me to curate high quality machine learning datasets for clients such as Accenture, Google, and Meta. I've worked on multiple LLMs and generative AI projects.I am passionate about the developing field of AI and its potential applications across different domains and industries. I have published content in both English and Spanish.I have special interests in quality, localization, conversation design, UX, and agentic AI.