Backend Engineering · Blockchain · Trading Automation

Production-grade
infrastructure
for financial systems.

Specialized backend engineering for crypto exchanges, DeFi protocols, and quantitative trading firms. Built for reliability where failure is not an option.

10+
Years in C
4+
Years Golang
80kWh
Mining Ops
Core Services

Engineered for
high-value systems

End-to-end backend development across four specialized domains - each built for production scale from day one.

01 / 04

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.

Multi-Chain WalletsNode IntegrationDeposit/WithdrawalPrivate Key OpsGas OptimizationTransaction Monitoring
02 / 04

Smart Contract Integration

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.

ICP ContractsEVM / SolidityRustAsset Swap APIsWeb3.js / Ethers.jsGraphQL Blockchain APIs
03 / 04

Trading Automation

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.

Stock ScannersForex BotsBacktestingRisk ManagementMQL4 / PineScriptC++ / Python
04 / 04

AI & Machine Learning

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.

LSTM / Deep LearningReinforcement LearningNLP SentimentFeature EngineeringTensorFlow / PyTorchModel Ensemble
Technical Depth

The stack
behind the systems

Production-hardened languages and tooling across systems programming, backend services, and financial automation.

C / C++
10+ yrs
Systems
Node.js
4+ yrs
Backend
Golang
4+ yrs
Backend
Python
Expert
ML / Automation
TypeScript
4+ yrs
Backend
Rust
Advanced
Smart Contracts
Solidity
Advanced
EVM
MQL4
Expert
Trading
InfrastructureDockergRPCOpen-TelemetryRabbitMQRedisMySQLPosgreSQLDuckDB
$ luxeave --status
-> Backend Systems: OPERATIONAL
-> Blockchain Middleware: OPERATIONAL
-> Trading Automation: OPERATIONAL
-> ML Pipeline: OPERATIONAL
$ _
Case Studies

Selected
production systems

High-impact engineering built for real financial environments.

CASE / 001

Real-Time Transaction Monitoring Service

Golang · RabbitMQ · Blockchain

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.

  • Real-time event processing via RabbitMQ message queues
  • Multi-chain transaction lifecycle tracking and alerting
  • Operational visibility for wallet funding and asset accounting
  • High-throughput, low-latency Go service architecture
Production
CASE / 002

Multi-Chain Wallet Infrastructure

Node.js · Golang · Web3.js · Ethers.js

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.

  • Unified abstraction layer across heterogeneous blockchain protocols
  • Dynamic gas fee optimization for Ethereum using Ethers.js
  • Secure private key operations and wallet funding workflows
  • RESTful and GraphQL APIs for chain data consumption
Production
CASE / 003

Python Backtesting Framework

Python · Pandas · Statistical Analysis

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.

  • Strategy simulation over multi-year historical datasets
  • Integrated position sizing and drawdown analysis
  • Performance reporting: Sharpe, Sortino, max drawdown
  • Composable signal and execution modules
Live System
CASE / 004

C / Python Risk Management Module

C · Python · Quantitative Finance

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.

  • Real-time position sizing across open exposures
  • C core for microsecond-latency risk calculations
  • Stop-loss, take-profit, and max-drawdown enforcement
  • Python bindings for integration with trading strategy layer
Live System
CASE / 005

LSTM Deep Learning Price Predictor

Python · Keras · TensorFlow · PyTorch

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.

  • LSTM sequence model for short-horizon price forecasting
  • NLP sentiment layer ingesting news and social media feeds
  • Reinforcement learning agent for adaptive trade execution
  • Model ensemble combining XGBoost, LightGBM, and neural nets
Research + Prod
Available for New Engagements

Ready to build
mission-critical systems?

Whether you need blockchain infrastructure, trading automation, or AI-driven financial systems - let's scope the work and deliver it right.

[email protected]