Selected Work.
A detailed review of architectures, prototypes, and engineering solutions we have deployed. Each study outlines our rigorous methodology from research through execution.
Legal Document Parser
Project Context
An internal research initiative to evaluate the viability of localized, air-gapped LLM deployments for processing highly sensitive legal documentation without third-party API exposure.
Business Challenge
Traditional legal document parsing relies heavily on manual auditing or cloud-based AI APIs, which pose severe data privacy risks for confidential agreements.
Research Findings
Evaluated several quantized models (Llama 3, Mistral) against state-of-the-art closed models to determine the accuracy of zero-shot entity extraction on legal text.
Solution Design
Designed a secure Retrieval-Augmented Generation (RAG) architecture that runs entirely on local infrastructure, ensuring data never leaves the client environment.
System Architecture
Next.js frontend communicating with a containerized Python backend. The backend hosts a quantized local LLM, utilizing ChromaDB for rapid similarity search of vectorized document chunks.
Implementation
Developed a custom chunking algorithm optimized for legal clauses (identifying definitions, terms, and signatures). Built a React dashboard for attorneys to query documents naturally.
Outcome
Successfully demonstrated a 100% offline document query system that extracts clauses with high accuracy, completely eliminating third-party data exposure.
Lessons Learned
Context window limits in local models require extremely precise vector retrieval; optimizing the chunk overlap was critical to preventing hallucinated clauses.
DeFi Operations Portal
Project Context
A foundational prototype for institutional web3 asset management, addressing the need for secure, cross-chain transaction orchestration.
Business Challenge
Handling asynchronous, multi-step blockchain transactions in a user-facing dashboard reliably without dropped states or misleading UI feedback.
Research Findings
Investigated common failure modes in decentralized applications, noting that state desynchronization between the frontend and RPC nodes causes the majority of user errors.
Solution Design
Architected a state machine that rigidly enforces transaction stages (Pending, Mined, Confirmed, Reverted) and polls multiple RPC nodes for consensus.
System Architecture
React SPA deployed on AWS CloudFront, interfacing with Ethereum RPC nodes and custom Solidity smart contracts. Uses Ethers.js for secure key management.
Implementation
Built the interface with strict TypeScript typings for all contract ABIs. Integrated hardware wallet support to ensure private keys remain physically isolated.
Outcome
Created a robust, institutional-grade portal that gracefully handles network congestion and provides deterministic feedback for complex cross-chain operations.
Lessons Learned
Relying on a single RPC provider introduces a single point of failure; an enterprise system requires a load-balanced, multi-provider network architecture.