HuggingFace
About Me
Work Experience
I am currently working at Together AI as a Forward Deployed Engineer. I have been there since February 2025, and I spend my time training custom speculators, optimizing engine configurations, and helping customers understand how to get cheaper/faster/higher quality inference.
Before Together AI I was at Hugging Face for 3 years. I was a member of the monetization team and 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.
- Forward Deployed Engineer @ Together AI (2025 - present)
- Member of GTM team
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Mainly focusing on LLM inference.
- Training custom speculators.
- Optimizing engine configurations (vllm, sglang, tensort-llm) for throughput/latency.
- Helping customers understand how to get cheaper/faster/higher quality inference through fine-tuning and distillation.
- Machine Learning Engineer @ Hugging Face (2021 - 2025)
- 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)
- Shared my love for physics, math, and chemistry with students in the Bay Area.
- I even worked with the daughter of Google's CEO.
- One of my students was in the scandal where parents paid to get their kids into college.
- 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.
Education
- Coterminal M.S. in Electrical Engineering @ Stanford University (2016-2018)
- Did not graduate.
- Decided that I wasn't interested in the classes I was taking (physics, analog devices, signal processing, networks).
- I was also sick of doing research in a cleanroom.
- B.S. in Electrical Engineering @ Stanford University (2012-2016)
- Focus on semiconductor device physics.
- Los Gatos High School (2008-2012)
- Played Varsity Soccer for 3 years.
- Captain of the Varsity Soccer Team (2011-2012).
- Co-MVP of the league (2012).
- Honorary mention in CCS (2012).
Volunteering
All of my volunteering is tutoring.
- Lucile Packard Children's Hospital (2013 - 2014)
- Tutored kids who had been in the hospital for a long time.
- East Palo Alto Tennis and Tutoring (2019)
- Tutored high school students in math and science.
- Student U (2019-2020)
- Tutored high school students in math and science.
Hobbies
My main hobbies are going on walks with my dog, playing soccer, doing Kaggle competitions, reading, photography, and taiko. This last one, taiko, is probably the most interesting, though I am on a bit of a hiatus. I played taiko for 12 years, starting with San Jose Junior Taiko and continuing with Stanford Taiko. Here is a video of me performing in Stanford's Bing Concert Hall.
Stanford Instagram also featured me on their page.