Top Prompt Engineers - San Francisco

- 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

- 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.

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.

I work in computational linguistics for Adobe Enterprise.

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.

Recent Computer Science graduate from Cal Poly with a strong foundation in troubleshooting, technical support, and operating systems. I'm passionate about solving technical problems, working with end users, and keeping systems running smoothly. I’m actively pursuing entry-level IT Support or Helpdesk roles where I can bring hands-on knowledge of Windows, macOS, Linux, networking (TCP/IP, DNS, DHCP), and cloud platforms like Azure and AWS. Currently working toward my CompTIA A+ certification. Let’s connect if you’re looking for someone who’s eager to learn, fast to pick up new systems, and ready to contribute right away or contact me at [email protected]!

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.