Evan Lewis

Portrait of Evan Lewis

I'm a rising senior at the University of Maryland studying Computer Science with a machine learning concentration and a business minor. I'm interested in applied machine learning and financial markets, particularly in systems that produce answers you can trace back to a source. Most of what I build starts with something I wanted to understand better.

Experience

Projects

Unified brief showing cited SEC filing evidence beside an options-market context panel

SEC Filing Intelligence

Python · SEC EDGAR · Hybrid Retrieval · Citation Validation · Evals

A point-in-time research platform that answers analyst questions from 10-K, 10-Q, 8-K, and EX-99 disclosure, with every claim tied to a validated inline citation and an options-market context panel kept in a separate, clearly labeled block so retrieved and market-implied values are never merged. Ingestion runs on idempotent SEC pulls with section-aware chunking, and a validator fails closed on any citation the retrieved evidence does not support. Over a 12 ticker corpus of roughly 6,300 chunks, offline lexical retrieval reaches a 0.86 section hit rate and answers score 1.00 citation validity, with zero hallucinated or uncited claims.

Knowledge graph view of HVAC distributor documents

GraphHVAC: AI Operating Manual

Python · Claude Agent Loop · Hybrid Retrieval · Evals

A retrieval system that answers operational questions for an HVAC parts distributor. It ingests manufacturer bulletins, regulatory filings, supplier emails, and SOPs into a knowledge base where every answer carries an inline citation to the document it came from. On a 30 question evaluation set, hybrid retrieval reaches 0.97 recall@5 and the agent loop reaches 0.98 citation recall.

3D globe visualization with the CoWoS packaging constraint highlighted across the AI supply chain

AI Supply Chain Globe

TypeScript · Three.js · React · Graph Modeling

An interactive 3D globe that maps the AI supply chain as a layered graph running from power grids and fabs through advanced packaging, data centers, and model labs. Bottlenecks such as CoWoS packaging capacity and grid equipment lead times are modeled directly, so selecting one highlights everything downstream that depends on it. Every node and edge traces to a public, dated source.

Interests

Topics

  • Applied AI
  • AI Ecosystems
  • Financial Markets
  • Business Technologies
  • Physics

Books

  • The Changing World Order by Ray Dalio
  • The Hobbit by J.R.R. Tolkein
  • Einstein's Unfinished Revolution by Lee Smolin
  • The Iliad by Homer
  • One Up On Wall Street by Peter Lynch

Podcasts

  • Dwarkesh Podcast
  • Sean Carroll's Mindscape
  • Relentless
  • Lex Fridman Podcast

Movies

  • The Prestige
  • The Shawshank Redemption
  • Oppenheimer
  • The Lord of the Rings Trilogy
  • The Pianist