• Joined the company at ~19 employees, $150mil val (now 60+ employees, $1.1B val)

• Worked on a multitude of AI related projects for various customers, including

• GRPO on LLMs for math and coding

• Fine-tuning FLUX and optimizing FLUX inference latency

• Fine-tuning whisper on custom/distilled dataset

• LLM inference optimization (vLLM / TRT-LLM / SGLang)

• Sales: decks, demos, qualification, PoCs, market mapping, outreach

• Joined the company at ~90 employees, $1.25B val (now 1000+ employees, $15B val)

• Built compiler for domain specific language.

• Full stack product development for a new product, regularly interfacing with customers.

• Worked with sales & product for onsite customer visits, workshops, and PoCs.

• Worked with recruiting to source, interview, and close candidates.

Created and taught Stanford's first class on Transformers.

Worked on the tensor algebra compiler (TACO) with Prof. Fredrik Kjolstad.

Teaching assistant for

CS140: Operating Systems under Prof. David Mazières.

CS230: Deep Learning under Prof. Andrew Ng and Kian Katanforoosh.

Responsibilities included teaching sections, holding office hours, and mentoring groups of students in their projects.