Norman Colon

Designed and implemented quantitative trading algorithms in SQX/MetaTrader 5 for XAU USD (Gold), integrating liquidity trap strategies with MACD, ATR, and Bollinger Bands. Developed and optimized the PRG TRADES GOLD Robot, an AI-powered Expert Advisor with customizable risk profiles and strict drawdown controls. Conducted backtesting and forward testing under real market conditions, validating consistent weekly ROI (3-15%) across multiple risk settings and live accounts. Built smart capital allocation and risk management systems that adapt to trader profiles, reducing exposure while maximizing compounding growth. Integrated real-time data feeds and execution pipelines to ensure low-latency performance, emotion-free trading, and precision order handling. Collaborated with traders and developers to enhance strategy parameterization, optimization routines, and reporting dashboards, improving transparency and usability for non-technical users; Documented algorithmic models, performance reports, and compliance-focused risk assessments for internal stakeholders and client presentations

Migrated high-traffic payments system from monolith to microservices (Node.js, Redis, RabbitMQ); built frontend admin interface in React + TypeScript for transaction audits, reducing support ticket volume by 22%. Refactored CI/CD pipelines using Docker and GitHub Actions, reducing product deployment time from 40 minutes to 12 minutes. Implemented distributed caching with Redis, improving average API response times. Collaborated cross-functionally with product and design teams to enhance dashboards, increasing UX. Mentored 2 engineers weekly and documented reusable component patterns for the UI library, accelerating new feature dev by 15%; Conducted security audits of payment APIs, resolving 4 vulnerabilities and passing third-party compliance review; Integrated feature flag system using LaunchDarkly, enabling safe rollout of 6 critical backend features

Promoted from contract to full-time after launching a high-priority telemetry pipeline under production loads. Built internal performance dashboards using React, Azure Functions, and Cosmos DB; developed backend microservices in C#/.NET Core to process 100K+ daily telemetry events using Azure Service Bus; Led migration of Office365 localization tool to asynchronous architecture, improving translation accuracy by 40%; Integrated Azure Monitor + Logic Apps for auto-alerting, cutting average incident detection time from 35 minutes to under 3 minutes; Maintained frontend localization preview tool in React with i18n support, improving QA efficiency by 30%; Partnered with Redmond-based teams to deploy production changes across 3 time zones with zero downtime; Used Swagger, Postman, and Jest to validate and document over 25 REST API endpoints