Agents with Superpowers: Context Engineering Hackathon

Engineer, researcher, and writer. Ex-Plaid & Duke. Interested in tools to enable the next trillions of AI infrastructure buildout.

Embodied / physical AI, AI compute, semiconductors, chip design, novel hardware products, custom ASICs, SW-HW co-design.

Working on tools for scaling AI infra. Writing at oscarhong.net

Dhyey is driven by complex problems at the intersection of mathematics, computer science, statistics, and economics. His liberal arts foundation equips him uniquely to build innovative solutions, leveraging strategic thinking and deep technical expertise. A strategic thinker at heart, Dhyey excels in dissecting intricate problems and devising actionable solutions. He believes in the power of collaboration, cherishing partnerships with professionals from diverse backgrounds to produce outstanding results.

• Generative AI & Machine Learning • Quantitative & Computational Research • Scalable Software Development • Product Management

I'm judging hacks! Building: New hires ramp slowly because tribal knowledge is scattered across Notion/Confluence, Slack, Google Drive, Jira, and recorded calls. Managers spend dozens of hours repeating the same context, and new teammates take 60–90 days to become productive. Ramper builds an AI onboarding co-pilot that assembles a personalized 30-day “ramp” from your existing docs, tickets, code, and recordings—answering questions, generating SOPs, and verifying understanding with checks.

Talon Miller is a Principal Technical Marketer at Redis, with 10 years of experience. He studied Information Systems into Business Intelligence and Data Science with a Business Management Minor at Utah Valley University.

Redis for AI & startups

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I’ve been writing code since I was 12 years old, and now seeing the same joy of building red coding agents

System engineering

AI for Insurnace