Projects

Selected systems, documented at their actual stage.

These projects span evidence-grounded AI applications, agent systems, backend engineering, and auditable evaluation. Each entry separates implemented work from current limitations and links to public proof where available.

01Completed

Evidence-grounded AI application engineering

EvidenceBridge Multimodal MCP

A public, evidence-first research workbench that connects document retrieval, citation verification, MCP tool calling, version comparison, human-review routing, and auditable events in one reproducible workflow.

My work

Designed and built the end-to-end system with Next.js and TypeScript, Vercel AI SDK, Python and Flask, PostgreSQL and Prisma, five executable MCP tools, evaluation fixtures, and continuous integration.

Evidence and boundary

The no-key public demo uses six synthetic documents. The repository and CI verify the full Flask, PostgreSQL, Prisma, and MCP implementation through a fixed 45-question evaluation set and 13 Python tests. The Azure adapter is implemented but has not been validated in a live Azure deployment.

02Finalist

Casper Agentic Buildathon 2026

RWA Credit Sentinel

A bounded autonomous underwriting and capital-action system for invoice-backed financing. Eight specialized agents turn public evidence into a risk credential, enforce deterministic vault policy, cap executable principal, and anchor both the credential and execution intent on Casper Testnet.

My work

Designed and built the end-to-end system: agent workflow, content-hashed evidence, server-locked policy, Casper contract integration, live state verification, deterministic safety benchmark, and public judge experience.

Evidence and boundary

The finals record exposes two independently verifiable application state transitions. The public demo reads both contract dictionaries and compares 13 fields against the published evidence without requiring a wallet.

03In Progress

Auditable safety evaluation for embodied LLM agents

SafeTrace-Agent

An evaluation system for auditing the safety behavior of embodied LLM agents. The current artifact set includes a trace schema, safety taxonomy, rule baseline, evaluators, report generation, an AI2-THOR adapter, and a technical report draft.

My work

Developing the evaluation protocol and implementation with an emphasis on traceability: observations, actions, safety events, evaluator decisions, and report evidence remain linked throughout the pipeline.

Evidence and boundary

Real simulator experiments are still running. No simulator performance numbers or completed empirical claims are reported here.

04Submitted

QVAC Hackathon · preliminary screening

LocalVault AI

A local-first confidential contract intelligence workspace for consumer Windows hardware. It combines QVAC local inference with deterministic policy checks, citation-bound findings, amendment drafting, prompt-injection defenses, and auditable report export without remote AI APIs.

My work

Built the document review flow, policy matrix, source-grounded evidence model, local-inference integration, reproducible validation set, and zero-cloud audit evidence.

Evidence and boundary

The public repository documents the validation procedure, hardware context, policy pack, robustness cases, and exported evidence logs.