Solidity Developer

Architected and deployed systematic Forex trading strategies (MACD, EMA, TDI) using Python and Pandas, achieving a 5% reduction in drawdown through rigorous backtesting and forward-testing on 8+ years of historical data. Performed backtesting and forward testing on historical market data to evaluate strategy robustness and reduce overfitting. Engineered signal generation systems for real-time trade identification and automated execution. Developed multi-factor trading strategies combining momentum, trend, and price action signals. Contributed to performance evaluation, analyzing metrics such as win rate, drawdown, and consistency across varying market conditions.

Developed a cross-platform Forex signal bot integrating WebSockets and Pine Script, automating execution for over 15 daily trades with 99.9% uptime. Built and maintained REST APIs and backend services using Django REST Framework, ensuring scalability and high uptime. Developed automation scripts and trading bots integrating Pine Script, Deriv XML, and Telegram for real-time trading. Led backend optimization and architecture restructuring, improving response times by 40% under high user loads. Created user workflows and real-time communication systems.

Spearheaded Tverza’s ecosystem — a digital platform connecting industries through seamless transactions and collaboration. Architected backend systems for transaction tracking, approvals, and analytics across multiple business sectors. Co-founded and architected a multi-sector industrial ecosystem, integrating Ethereum/Polygon smart contracts to automate transaction approvals, reducing manual errors by 35% and increasing transparency for enterprise clients. Directed platform security, compliance, and scalability initiatives, ensuring enterprise-level reliability. Provided technical direction for the dev team, ensuring delivery of secure and scalable production systems.

Designed and implemented backend architecture for an oil & gas technology platform handling complex calculations. Engineered a distributed microservices architecture (14+ services) using Flask and Django for the Oil & Gas sector, optimizing complex data retrieval by 25% through advanced PostgreSQL indexing and query optimization. Built optimized database models and queries, improving data retrieval efficiency by 25%. Created APIs for real-time data processing and automated business-critical reporting. Ensured system reliability, achieving 99.9% uptime for production deployments.

Supported backend development in Django, focusing on CRUD operations and REST API implementation. Collaborated with senior developers to enhance API endpoints and maintain database integrations. Gained hands-on experience in debugging, testing, and maintaining production-grade systems.