Blockchain & Wallet Infrastructure
Full-stack blockchain middleware from node integration to multi-chain wallet systems. Reliable deposit/withdrawal flows engineered for exchange-grade uptime and operational accountability.
Specialized backend engineering for crypto exchanges, DeFi protocols, and quantitative trading firms. Built for reliability where failure is not an option.
End-to-end backend development across four specialized domains - each built for production scale from day one.
Full-stack blockchain middleware from node integration to multi-chain wallet systems. Reliable deposit/withdrawal flows engineered for exchange-grade uptime and operational accountability.
Custom ICP and EVM-compatible contract development with production-grade backend APIs that bridge on-chain logic with external systems - Rust, Solidity, and middleware layers included.
High-performance execution systems for forex, commodities, and equities. From sub-millisecond scanners to full backtesting frameworks and risk management modules - built in C++, Python, and MQL4.
Applied ML for financial signal generation - LSTM price predictors, reinforcement learning traders, NLP sentiment engines, and full feature pipelines from data to prediction API deployment.
Production-hardened languages and tooling across systems programming, backend services, and financial automation.
High-impact engineering built for real financial environments.
Production blockchain transaction monitoring and alerting service processing high-frequency on-chain events across multiple networks. Designed for the operational requirements of a crypto exchange where asset accountability is critical.
Unified wallet system supporting multiple blockchain protocols for a production crypto exchange. Encompasses deposit/withdrawal middleware, private key management, gas fee optimization, and blockchain node integration.
Full-featured quantitative strategy validation framework for testing trading systems against historical market data. Built to support the full research-to-deployment lifecycle for automated trading strategies.
High-performance risk calculation and position sizing engine combining low-level C computation with Python interfaces. Designed to protect automated trading operations with real-time exposure controls and safeguards.
End-to-end deep learning system for short-term price movement prediction. Combines LSTM sequence modeling with an NLP sentiment engine and ensemble framework to produce robust trading signals from price and text data.
Whether you need blockchain infrastructure, trading automation, or AI-driven financial systems - let's scope the work and deliver it right.
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