AI Agent Evaluation Researcher

CCC Intelligent Solutions - Industry-Sponsored Project

September 2026 – Present

• Collaborating with CCC Intelligent Solutions' Innovation Foundry to build verifier-grounded evaluations for autonomous agents, cluster trace failures, and design held-in and held-out regression tests.

Software Engineering Intern

QT Holding LLC

June 2026 – August 2026

• Built and deployed an ultra-low-latency public social media ingestion system using headless Chromium, Groq-hosted GPT-OSS-120B, and SQLite; runs daily on on-premises bare-metal infrastructure to surface macro signals for trading decisions.
• Developed and maintained a containerized research terminal that consolidates market-moving public communications, economic releases, and overnight market activity with retrieval-augmented generation, giving the desk a continuously updated pre-session view.

Software Engineering Intern

QT Holding LLC

June 2025 – August 2025

• Built a low-latency macro news ingestion and LLM analysis pipeline with Next.js, surfacing market-moving events and trade context. Released a lite demo at marketepoll.com.

Software Engineering Intern

Citadel LLC, Chicago, IL

June 2020 – September 2020

• Built real-time trading data interface in .NET, providing fixed income traders with immediate visibility into bond market flows and reducing latency in decision-making.
• Enhanced compliance SQL database by restructuring queries and schemas, cutting average query execution time and streamlining regulatory audits.

Research Assistant

University of Chicago BSD - Kidney Stone Lab, Chicago, IL

June 2019 – September 2019

• Automated data-processing workflow via Python (JSON to CSV), reducing manual lab work by ~5 hours/week and improving reproducibility for ongoing chemical assays.
• Designed AutoCAD-based anaerobic solution chamber, stabilizing pH measurements post-collection and improving accuracy of long-term kidney stone research data.

University of Illinois at Urbana-Champaign

Master of Computer Science (Expected December 2026)

Bachelor of Science in Computer Science + Economics (August 2025)

GPA: 3.80 / 4.00

Relevant Coursework: Applied Machine Learning, Machine Learning for Software Engineering, Linear Algebra, Algorithms and Data Structures, Causal Methods, Economic Forecasting

BloomBERT

• Built a private NVIDIA research terminal combining SEC filings, structured XBRL financials, and FRED macroeconomic data in a Dockerized Next.js, FastAPI, and PostgreSQL stack.
• Designed a typed LangGraph workflow that routes financial questions to SQL, filing questions to Qdrant, macro questions to FRED data, and mixed questions to both.
• Implemented evidence-grounded analyst briefs and a 36-question evaluation suite measuring routing accuracy, retrieval recall, citation correctness, and unsupported numerical claims.
• Technologies: Python, FastAPI, LangGraph, Qdrant, PostgreSQL, Next.js