Waleed A.
Senior Software Architect, Quantitative Systems, Enterprise ERP
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Portfolio
Work experience
NetSuite Solutions Architect
Trading • Self-employed
Jan 2025 - Present • 1 yr 4 mos
Engineering enterprise-grade NetSuite ERP solutions and high-performance algorithmic trading environments for global clients. NetSuite & ERP Architecture: Architecting scalable SuiteScript 2.1 solutions, including User Event, Client, and Scheduled scripts to automate complex business processes. Designing custom "Order-to-Cash" workflows and RESTlets for real-time, secure third-party API integration. Implementing dynamic data validation, error handling, and audit trails to ensure financial compliance and operational efficiency. Quantitative Systems: Architecting low-latency trading infrastructure and MQL5/Python algorithmic strategies. Integrating machine learning models directly into live trading environments for predictive signal modeling. Optimizing server-side infrastructure for high-density terminal hosting and historical data processing.
Lead Quant Developer
XM • Self-employed
Jan 2022 - Present • 4 yrs 4 mos
Architecting high-availability quantitative trading systems and institutional-grade infrastructure. Algorithmic & MQL5 Architecture: Architected and optimized complex Expert Advisors (EAs) and automated trade interceptors designed for precision, low-latency execution, and robust risk management. Engineered custom indicators and proprietary signal-scoring models to enhance trade reliability and drawdown protection. Predictive AI & Data Engineering: Developed and deployed machine learning predictive models utilizing massive training datasets (14M+ market barrier setups). Integrated Python-based predictive signals directly into live MetaTrader 5 environments using vector databases and automated training loops to maintain model edge against shifting volatility. Infrastructure & System Automation: Architected the "Aegis Master Core" automation layer using FastAPI and persistent session management for cross-platform signal routing and system monitoring. Optimized high-density Windows/Linux VPS configurations—including CPU affinity and resource management—to support the simultaneous, 24/7 hosting of 100+ high-frequency trading terminals.