# Advay Pal > advaypal.com Location: United States, United States Profile: https://flows.cv/advaypal https://advaypal.com/ ## Work Experience ### Forward Deployed Engineer @ Modal Labs Jan 2024 – Jan 2025 | New York City Metropolitan Area • 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 ### Software Engineer @ Applied Intuition Jan 2021 – Jan 2023 | San Francisco Bay Area • 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. ### Adjunct Lecturer @ Stanford University Jan 2021 – Jan 2021 Created and taught Stanford's first class on Transformers. ### Researcher @ Stanford University Jan 2020 – Jan 2021 Worked on the tensor algebra compiler (TACO) with Prof. Fredrik Kjolstad. ### Teaching Assistant @ Stanford University Jan 2019 – Jan 2021 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. ### Researcher @ Stanford University Jan 2019 – Jan 2020 Worked on analyzing Proof of Work protocols using statistical model checking tools. Paper published at the IEEE Blockchain Conference 2020. ### Software Engineering Intern @ Nuro Jan 2020 – Jan 2020 | San Francisco Bay Area Built a log simulation caching mechanism and a timeout feature for a distributed job scheduling framework. ### Software Engineering Intern @ Zilliqa Jan 2019 – Jan 2019 | Singapore • Reduced the inter-process communication overheads between the smart contract interpreter and the blockchain from linear to constant. • Built a dApp on Zilliqa's platform to promote a marketing campaign. ### Researcher @ National University of Singapore Jan 2017 – Jan 2019 | Singapore 2018 - 2019: Worked on mitigating the effects of adversarial nodes in federated learning for my final year dissertation with Prof. Bryan Low. 2017: Worked on using bayesian optimization and automatic differentiation for the hyperparameter tuning of machine learning algorithms under NUS' undergraduate research opportunities program (UROP) with Prof. Bryan Low. ### Teaching Assistant @ National University of Singapore Jan 2016 – Jan 2019 | Singapore Teaching assistant for: CS1101S: Introductory programming based on SICP under Prof. Martin Henz and Prof. Low Kok Lim CS2020: Data structures and algorithms accelerated under Prof. Seth Gilbert CS2010: Data structures and algorithms II under Ket Fah Chong CS2040: Data structures and algorithms under Prof. Harold Soh and Ket Fah Chong My responsibilities included conducting discussion groups, grading assignments, and holding consultation sessions. ### President (2017/18), Coreteam member @ NUS Hackers Jan 2016 – Jan 2019 | Singapore • Led the organisational effort for Singapore's largest student run hackathon. • (Re)started a mock interview initiative to prepare students for technical interviews. • Conducted workshops on topics like HTML, Express, and Git, to audiences of 50-100 students. • Organized weekly technical talks inviting speakers from academia and the industry. ### Software Engineering Intern @ Twitter Jan 2018 – Jan 2018 | San Francisco Bay Area • Worked on applied machine learning for the Twitter home timeline • Used deep neural networks to predict user engagement on videos. Performed data analysis, feature engineering, and model training. • Launched experiments to evaluate the effects of models on production traffic. ### Software Engineering Intern @ Apple Jan 2018 – Jan 2018 | San Francisco Bay Area • Worked on machine learning infrastructure for Siri. • Designed, architected, and implemented a search indexing tool to efficiently query Siri’s ontology. • Presented project to the head of Siri (Apple VP). ### Software Engineering Intern @ Twitter Jan 2017 – Jan 2017 | San Francisco Bay Area • Worked on Twitter Lite, a progressive web app with over 6 million daily users. • Built Twitter Lite’s live video experience, and integrated the chrome credentials management API into the app. ### Software Engineering Intern @ Xfers (YC S15) Jan 2016 – Jan 2016 | Singapore Built a system to streamline Xfers’ KYC onboarding process, and an internal analytics dashboard. ## Education ### Master's degree in Computer Science Stanford University ### Bachelor's degree in Computer Science National University of Singapore ### The Heritage School, Kolkata ## Contact & Social - LinkedIn: https://linkedin.com/in/advay-pal-235493104 - Website: http://advaypal.com --- Source: https://flows.cv/advaypal JSON Resume: https://flows.cv/advaypal/resume.json Last updated: 2026-03-29