Fanli 郑梵力 Ramsey

About Fanli 郑梵力 Ramsey

I help clients build generative ai solutions. I am an AI Engineer with a strong background in statistics and machine learning as well as understanding full-stack application development. Strong product sense and ability to design and implement ai solutions. Early adopter of neural networks (taught Tensorflow and Deep Learning) and usage of transformers in the design research and product development process. I have won many hackathons including a recent one by Anthropic and Langchain. I have built ml solutions for startups to fortune 100 companies. Summary- I have 10 years of experience as a lead AI engineer specializing in deep learning and NLP- Strong communication and presentation skills developed through 6 years at IDEO working on ML and human-centered design- Research background in applied deep learning for education and predicting emotions from physiological signals- Language of choice Python, Rust, Javascript- Worked closely with AI companies (Cohere, Langchain, Labelbox, Databricks, Azure, GCP)- Technical skills include Python, TensorFlow, R, and Google Cloud AI- Limited but have built full-stack web applications solo ( Python backend + JS front end )- Fluent in English and learning Mandarin Chinese- Co-author of a course on deep learning and TensorFlow- Lived for 3 years as a monk.Relevant Skills- Deep expertise in applied deep learning and NLP since 2014- Communication, leadership, presentation skills honed at IDEO- Research in applied deep learning for education and emotion recognition- Proficient in Python, TensorFlow, Rust, R, and Google Cloud (amongst other things)- Deep Early Adopter of Transformer Models and Generative AI- Learning Mandarin Chinese.Additional DetailsLived at a Zen monastery (3 years).Avid reader with 500+ books logged.Author of life blog and book list.Co-author of deep learning course.

Experience

1. Lead Data Scientist

   IDEO

   Sep 2021 — Present · San Francisco, CA, US

   Focused on bringing cutting-edge NLP machine learning / deep learning techniques to the design process. Working on machine learning / data mining / and social signals.

Education

• Stanford University

  None, Human Behavioral Biology

  2017 — 2017

• Udacity

  Nanodegree, Data Analyst/Science

  2015 — 2016

• Coursera

  Specialization, Data Engineering on Google Cloud Platform

  2017

• Udacity

  Machine Learning Engineer Nanodegree, Artificial Intelligence

  2017 — 2018

• Applied Anthropology Apprenticeship

  Apprenticeship, Applied Anthropology & Ethnography

  2013 — 2015

Skills

• Python
• Amazon Web Services (Aws)
• User-Centered Design
• Applied Psychology
• Experience Design
• Ethnography
• Interviews
• Deep Learning
• Design Thinking
• Bigquery
• Organizational Design
• Innovation
• Distributed Deep Learning
• Sql
• Sas
• Data Analysis
• Interaction Design
• Product Design
• Design Strategy
• Usability Test
• Anthropology
• Semiotics
• R
• Synthesis
• Exploratory Data Analysis
• Javascript
• Machine Learning
• User Experience
• Product Innovation
• Data Mining
• Data Visualization
• Research
• Service Design
• Qualitative Research
• Business Design
• Design Research
• Programming
• Google Cloud Platform
• Design of Experiments
• Microsoft Excel