West Lafayette, Indiana, United States
https://siyagoel.org/ [email protected] I’m a senior at Stanford University majoring in Computer Science (AI track) with a minor in Economics. I am simultaneously completing my masters in Computer Science (HCI track). As a builder at heart, I believe advancements in human-centered, ethical, and explainable AI, particularly Generative AI, is critical for bettering society. I've gained extensive experience in software engineering, machine learning, and product management through internships at companies and startups like Google, NVIDIA, Vitaliti, Cardinal Labs, Glocal, and the Department of Defense. Additionally, I am a founding member of Serena, a productivity startup based on a research project I lead with Stanford HAI. I’m also a founder fellow with Dorm Room Fund and RippleX where I have worked on founding Mindscape AI, a personalized journaling app which doubles as an analytics platform for therapists. I've interned with GoAhead Ventures, Heal Venture Lab, and Apprentis Ventures, as well as received a venture capital fellowship from Vencapital, the only undergraduate to do so. My interdisciplinary research background spans over 6 years where I have focused on the intersection of computer science with medicine and business. During my time at Stanford GSB, I enhanced RL recommender systems and NLP algorithms for marketing applications. I've also applied ML to diagnose and treat diseases such as cardiovascular disease, pancreatic cancer, and Alzheimer’s through independent projects and internships at Purdue University, Tufts Medical Center, and the University of Michigan, with my work being published at numerous conferences and papers. I’m deeply passionate about CS education, policy, and inclusion. I serve as the Director of Professional Development/Alumni for Stanford WiCS, Director of Hackspace in BASES, and co-founded Buzz Online, an education platform for CS students. I've also served as a mentor at DEI initiatives like Code in Place and the Athena Fellowship. Looking ahead, I aim to continue exploring AI, software engineering, product management, consulting, and venture capital. Feel free to connect!
Educating the Stanford community on how to use Gemini productively and ethically.
Over the past year at Stanford, I’ve spent much of my time building innovative tools designed to keep humans meaningfully involved in the decision-making loop. I’ve pushed these projects to their full potential both technically and commercially, contributing over 1,000 commits across my personal and professional GitHub accounts. https://web.stanford.edu/class/cs147/projects/IntelligentCreativeTools/clarus/ https://storycut.org/
Post trained and finetuned models for advertising and behavioral research
Working on building RL and NLP algorithms in applications to marketing and recommendations using economic theory. Iterating based on feedback from marketing professionals (researchers and industry leaders).
Worked on GenAI initiatives for YouTube Ads Demographics by generating embeddings using encoder models and experimenting with decoder models. Ran 100+ experiments predicting core demographics through prompting, post-training, and fine-tuning Gemini and Gemma models. Helped drive the team’s shift from legacy deep learning pipelines to LLM-based approaches, shaping the project’s technical direction for 2026.
Built an internal AI agent for GeForce NOW (deployed to 1K+ users) that answers questions about feedback, incidents, alerts, and forums, using MCP, agentic triggers, RAG, and cron jobs for real-time knowledge retrieval, alerting, and agent-to-agent communication.