Rydham Goyal
I study applied AI and Deep Learning at Stanford. I'm currently researching long-context memory for personal agents at SAIL, in the SALT Lab under Professor Diyi Yang. Before that I worked briefly at xAI after winning their hackathon and being offered a role, which also got me an invite to watch a Starship launch in person. Alongside that, I'm at Illumio this summer as a product intern, learning how cybersecurity products get built at scale. Longer term, I want to build agentic systems at scale. I'm still figuring out where, probably somewhere AI hasn't really touched yet.
Experience
- IllumioJun 2026 — Present
Technical Product Management Intern · Sunnyvale, CA
Building agentic deployment-simulation infrastructure for zero-trust security workflows.
- Stanford AI Lab (SAIL)Mar 2026 — Present
Undergraduate Student Researcher · Palo Alto, CA
Investigating different agentic memory architectures for optimal storage of relevant information and active recall across long-term, multi-session interactions, under Prof. Diyi Yang and advised by Vishakh Padmakumar at the SALT Lab.
- xAIJan — Feb 2026
Software Engineer, Talent Engineering · Palo Alto, CA
Joined after taking first place at xAI's hackathon. Iterated daily with Grok Build, working alongside an insanely cracked team.
- Stanford NeurosurgeryJun — Dec 2025
Machine Learning Researcher · Stanford, CA
Diffusion-based generative models synthesising post-Diamox brain MRIs from pre-scans, over 30 years of clinical data. First author on the resulting MIDL 2026 paper.
Leadership
- Stanford AI ClubJun 2026 — Present
Board Member · Palo Alto, CA
- Pareto HoldingsJan 2026 — Present
Pareto Fellow
Fellow and venture scout.
- Product PathwaysOct 2025 — Present
Leadership Team · Stanford
- Organised Stanford's largest AI and product conference, with speakers from OpenAI, Databricks, Sierra, Google, Glean, and Harvey.
- Ran VC office hours with Accel, Innovation Endeavors, Notable Capital, and Basis Set — over 700 pitch signups.