Protocol Architect

Building verifiable, intelligent systems at the intersection of AI and Blockchain

Smart Contracts
AI Systems
Security
ZK-Proofs
Rust
Elixir

Featured Projects

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RenewGen - Renewable Energy App

Full-stack platform for discovering and knowing renewable energy

KotlinNode.jsMongoDB+1
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Advanced AMM Protocol

High-efficiency automated market maker with advanced features

SolidityHardhatReact+2
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Nexus Core - Verifiable AI Network

Decentralized network for verifiable AI execution with ZK-proofs

RustElixirSolidity+3
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Promptopia - AI Prompt Marketplace

Full-stack platform for discovering and sharing AI prompts

Next.jsNextAuthMongoDB+1

Security Audits

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Protocol Audit Report-Password Store

Independent security audit of a password store contract. Identified a critical vulnerability that would have led to the permanent lock of all user funds.

AuditHigh SeverityFoundry
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PuffyRaffle Security Review-NFT

Security audit of an NFT marketplace smart contract. Found reentrancy vulnerabilities and access control issues that could compromise user assets.

Security ReviewHigh RiskNFT
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T-Swap Audit Report-DEX

Comprehensive security assessment of a decentralized exchange protocol. Uncovered multiple medium-risk issues related to oracle manipulation and flash loan attacks.

DEXCriticalLiquidity Provider
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ThunderLoan Audit Report

Comprehensive security assessment of a decentralized flash loan protocol. Uncovered multiple issues related to flash loan attacks.

Flash LoanReward ManipulationLiquidity Provider
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Boss Bridge Audit Report

Comprehensive security assessment of a bridge that allows users to deposit tokens, which are held into a secure vault on L1. Users can then mint an equivalent amount of wrapped tokens on L2.

TokenVaultOracle Manipulation
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Math Masters Audit Report

Comprehensive security assessment of math master smart contract through formal verification using Certora Prover and Halmos.

CertoraHalmosFormal Verification

Technical Expertise

A comprehensive skill set spanning blockchain, AI, security, and distributed systems

Blockchain & Web3

Solidity90%
Smart Contract Security90%
ZK-Proofs65%
DeFi Protocols80%
Token Standards82%

AI & Machine Learning

LangGraph60%
TensorFlow/PyTorch/Scikit-Learn85%
Natural Language Processing80%
Reinforcement Learning70%
Computer Vision85%

Systems Programming

Rust90%
Elixir/OTP87%
Java85%
Python90%
Kotlin90%

Security Engineering

Smart Contract Auditing91%
Penetration Testing86%
Cryptography89%
Formal Verification70%
Zero-Knowledge Proofs65%

Data & Infrastructure

PostgreSQL88%
MongoDB85%
Redis40%
Docker70%
Kubernetes75%

Cloud & DevOps

AWS70%
Azure50%
CI/CD Pipelines60%
Terraform35%
Monitoring & Logging50%

About Me

I architect and build the next generation of intelligent, verifiable systems that operate at the intersection of blockchain and artificial intelligence.

Technical Vision

My work is focused on solving the hard problems of autonomy and verification at the systems level. I architect solutions where intelligent agents can operate transparently and verifiably without centralized control.

This requires a synthesis of AI for decision-making, blockchain for trust and coordination, and languages like Rust & Elixir to build the secure, resilient infrastructure that makes it all possible.

Core Expertise

  • Blockchain Protocol Design
  • AI Agent Orchestration
  • Smart Contract Security
  • Distributed Systems

Key Tools

  • Rust, Elixir, Python
  • Solidity
  • LangChain/LangGraph
  • Foundry/Hardhat

My Philosophy

I believe the future of technology lies in creating systems that are not just intelligent but also verifiable and trustless. My work focuses on combining AI's predictive power with blockchain's trust guarantees to create a new paradigm of decentralized intelligence.

With expertise spanning smart contract development, zero-knowledge proofs, and AI systems, I'm uniquely positioned to build solutions that address the fundamental challenges of trust, transparency, and automation in digital systems.

My approach is grounded in rigorous engineering principles, security-first design, and a deep understanding of both theoretical concepts and practical implementation challenges.

100%
Focused on
Verifiable AI Systems

Core Principles

Systems Thinking

Architecting complex systems with attention to interactions between components

Intelligent Automation

Leveraging AI to create systems that learn, adapt, and make decisions autonomously

Security First

Building with security as a foundational principle, not an afterthought

Performance

Optimizing for efficiency and scalability in resource-constrained environments

Verifiability

Creating systems whose behavior can be cryptographically verified and trusted

Decentralization

Designing resilient systems that eliminate single points of failure and control