Engineering
Forward Deployed Engineer
Modal Labs · Full-time
- 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 and distilled data
- LLM inference optimization with vLLM, TRT-LLM, and SGLang
- Sales work across decks, demos, qualification, PoCs, market mapping, and outreach.
Software Engineer
Applied Intuition · Full-time
- Joined the company at ~90 employees, $1.25B val (now 1000+ employees, $15B val).
- Built a compiler for a domain-specific language.
- Did full-stack product development for a new product while interfacing regularly with customers.
- Worked with sales and product on onsite customer visits, workshops, and PoCs.
- Worked with recruiting to source, interview, and close candidates.
Software Engineering Intern
Nuro · Internship
- Spent the summer on Nuro's simulation team.
- Built a caching mechanism and timeout feature for a distributed job scheduling framework.
Software Engineering Intern
Zilliqa · Internship
- Worked on more efficient communication between the blockchain core process and the smart contract interpreter.
- Reduced inter-process communication overhead from linear to constant.
- Built a dApp on Zilliqa's platform for a marketing campaign.
Software Engineering Intern
Apple · Internship
- Worked on machine learning infrastructure for Siri in Cupertino.
- Built a search indexing tool to efficiently query Siri's ontology.
- Presented the project to the head of Siri at Apple.
Software Engineering Intern
Twitter · Internship
- Worked on applied machine learning for the Home Timeline.
- Trained deep neural networks for user engagement on videos.
- Launched multiple experiment iterations on production traffic.
Software Engineering Intern
Twitter · Internship
- Worked on Twitter Lite as part of the Responsive Web Team.
- Built the Live Video experience and integrated the Chrome credentials management API.
- Shipped code used by more than 6 million users daily.
Software Engineering Intern
Xfers · Internship
- Worked as a full-stack web developer at a YC-backed payments startup.
- Helped build an onboarding system used daily by customers.
- Built an internal analytics dashboard.
Research
Research Assistant
Stanford Compiler Group · Research
- Worked with Professor Fredrik Kjolstad on TACO.
- Built better support for blocking and workspaces in the tensor algebra compiler.
Research Assistant
Stanford University · Research
- Worked with two other students and Professor John Mitchell to analyze proof-of-work protocols with statistical model checking tools.
- Co-authored a paper published at IEEE Blockchain 2020.
Undergraduate Researcher
National University of Singapore · Research
- Worked on mitigating the effect of adversarial client nodes in federated learning as a final year dissertation.
- Supervised by Professor Bryan Low.
Undergraduate Researcher
National University of Singapore · UROP
- Explored Bayesian optimization and automatic differentiation for tuning machine learning algorithms.
- Worked in PyTorch and built a stronger foundation in statistics and machine learning.
- Supervised by Professor Bryan Low.
Teaching
Adjunct Lecturer
Stanford University · Teaching
- Created and taught the world's first university course on transformer deep learning models, advised by Professor Christopher Manning.
- The class had 100+ signups and the online lectures reached 100k+ YouTube views.
Graduate Teaching Assistant
Stanford University · Teaching
- Teaching assistant for Operating Systems under Professor David Mazières.
- Previously teaching assistant for Deep Learning for four quarters under Kian Katanforoosh and Professor Andrew Ng.
- Held office hours, graded assignments, and conducted sections.
Undergraduate Teaching Assistant
National University of Singapore · Teaching
- Teaching assistant for Data Structures and Algorithms and Programming Methodology.
- Conducted discussion groups, graded assignments, and held consultation sessions for students.