I am currently working at Hugging Face as a Machine Learning Engineer. I have been there 3 years and 5 months as a member of the monetization team. I have helped companies such as Johnson & Johnson, Grammarly, Optum, Writer, Uber, and Liberty Mutual improve their machine learning capabilities.
Prior to working at Hugging Face, I was a data scientist at GSK, where I created a search engine to make it easier to understand Medical Voice of Customer data (what the clinicians who use the products think of them).
I believe in being transparent about my work journey, so I will share more than most people typically do. Here is all of my work experience since I was 16.
- Machine Learning Engineer @ Hugging Face (2021 - Present)
- Member of the success team within the monetization team.
- Helping enterprises and startups improve their machine learning capabilities.
- This involves teaching how to use Hugging Face libraries such as transformers, accelerate, datasets, peft, trl, and diffusers.
- Typical use cases:
- Fine-tuning a model on a custom dataset.
- Serving fine-tuned models (both LLM and non-LLMs).
- Pre-training from scratch.
- RAG using LLMs and embeddings.
- Document understanding using vision-language models.
- Curating a high-quality instruction dataset.
- Manage relations with ~$2M worth of customers.
- Most senior member of post-sales MLE team.
- Hired 5 other team mebers.
- Author on BLOOM paper for minor help with datasets.
- Data Scientist @ GSK (2020 - 2021)
- Created a search engine to make it easier to understand what clinicians think of the products.
- Data Science Fellowship @ SharpestMinds (2019 - 2020)
- Fellowship is a generous term. It was a 3-month bootcamp where I taught myself all about data science and machine learning while being mentored by an industry professional.
- High School / Middle School Tutor @ AJ Tutoring (2018 - 2019)
- Dog Walker (2017-2019)
- I ran with my neighbors dog 3 times a week for 3 years.
- We did over 2000 miles together.
- Image Sensor Intern @ ON Semiconductor (2017)
- Quit after 5 weeks because it was a waste of my time. Unrealistic expectations, no guidance, and not much learning.
- Research Assistant Internship @ Stanford University (2016)
- Worked on thermionic energy harvesters.
- Spent too much time in the cleanroom alone at odd hours around dangerous chemicals and tools.
- Financial Manager @ Muwekma Tah-Ruk House (2015-2016)
- Budgeted $100k for 35 students in the house for food and events.
- Research Internship @ Lawrence Livermore Laboratory (2015)
- Fabrication of implantable neural devices.
- Research Internship @ Stanford University (2014)
- Fabricating sensors that work in extreme environments.
- Worked with graphene, high bandgap semiconductors, and cool equipment like scanning electron microscopes and x-ray diffraction.
- Co-author on 2 papers:
- Admin Assistant @ Stanford Graduate School of Education (2014)
- Did various small tasks to help the school run smoothly.
- Research Internship @ Stanford University (2013)
- Worked on helping underrepresented students start learning Computer Science.
- Soccer Coach @ Los Gatos Soccer (2010-2012)
- Coached soccer basics for kids during the summer.