Shariq Riaz

I build custom AI automation systems for businesses that are done doing things manually. OrchestriAI helps companies replace repetitive operational work with AI agents, workflow automation, and custom integrations. Most clients come to me spending 10-20 hours a week on tasks a well-built system handles in minutes. What I build: • AI agents that handle lead management, client onboarding, and internal operations end to end • MCP servers that connect AI directly to business systems (CRMs, EHRs, databases, APIs) • Workflow automation with n8n and Python that runs reliably without babysitting • Multi-agent orchestration systems for complex business processes Industries I work in: healthcare (CPHIMS certified), financial services, and real estate. 11 years of enterprise BA experience means I understand the business problems before writing any code. 164 public repos on GitHub. Published MCP servers on npm and Smithery. Two projects with 85+ stars. orchestriai.com

Worked across healthcare, pharma, and federal clients on Medicare compliance systems and regulatory frameworks. This is where I got deep into healthcare IT and started building the AI tools that became my full-time focus. Core work: • Built CMS-HCC V28 risk adjustment implementations for Medicare Advantage clients. Designed the compliance monitoring layer in Power BI + SQL + Databricks that gave stakeholders real-time visibility into audit risk. • Ran cross-functional teams of 8-12 (developers, clinical SMEs, regulatory specialists) through full SDLC cycles for FDA and CMS-compliant projects. • Built predictive models in Python for Medicare member risk profiles and pharma trial outcomes. The RAF scoring optimization work cut manual review time significantly. • Started building AI tools on the side that took off: contributed to Roo Code (VS Code extension used by thousands of developers, achieved 50% context reduction), built Maestro (multi-agent orchestration, 92 stars on GitHub), published MCP servers for Vertex AI, xAI, and a unified RAG system on npm/Smithery. • Established vendor protocols and TPA integrations for healthcare partners while maintaining HIPAA compliance. Tech: CMS-HCC V28, Python, SQL, Power BI, Databricks, Medicare/HIPAA compliance

Analyzed operations for Andela's global talent marketplace, matching software developers with Fortune 500 clients including GitHub, Mastercard, and ViacomCBS across 40+ countries. • Designed candidate matching algorithms and evaluation frameworks that improved placement success rates and reduced time-to-hire. The challenge was matching developers across different time zones, tech stacks, and client cultures at scale. • Built BI frameworks in SQL, Python, and Tableau to track project performance, client satisfaction, and developer progression. Turned scattered metrics into dashboards leadership actually used for decisions. • Ran requirements sessions with enterprise clients, translating their technical needs into specs for distributed engineering teams. The gap between "what the client says they want" and "what they actually need" was the whole job. • Automated reporting systems and built real-time dashboards for operations, replacing manual processes that were eating hours every week. • Led process optimization for remote teams across 130+ countries. Standardized workflows that reduced project escalations and made collaboration less painful across time zones. • Analyzed training program effectiveness using statistical methods. Figured out which learning paths actually accelerated developer growth versus which ones just looked good on paper. Tech: SQL, Python, Tableau, automation, CRM systems, remote team operations

Built talent assessment and matching systems for Crossover's premium remote positions ($100K+ USD) across 130+ countries. The role was heavy on data: figuring out what makes a successful remote hire, then building the systems to find more of them. • Developed risk assessment frameworks and matching algorithms for high-value remote positions. Improved candidate-role fit accuracy and cut hiring cycle times by rethinking how we scored and filtered applicants. • Built Python and SQL pipelines to analyze performance patterns across thousands of remote workers. Used the data to optimize pricing strategies and identify what actually predicted success in remote roles. • Reengineered recruitment workflows with automation, cutting admin overhead and speeding up the pipeline from application to placement. • Created Power BI dashboards tracking recruitment metrics, financial performance, and market dynamics. Gave leadership real-time visibility instead of monthly spreadsheet dumps. • Worked across sales, recruitment, and client success teams to build data-driven processes that improved contract renewals and client satisfaction. • Ran competitive analysis on remote work salary benchmarks and market trends. This was 2016-2019, before remote work was mainstream, so the data was genuinely useful for positioning. Tech: Python, SQL, Power BI, statistical analysis, process automation

Managed operations for a medical equipment trading company, importing diagnostic devices from China and sourcing used equipment internationally. Product lines included ultrasound, ECG, CTG, and other diagnostic systems across 25+ hospital projects. • Handled requirements gathering for hospital infrastructure projects and government tenders, translating medical equipment specifications into procurement documentation. • Built vendor evaluation frameworks for Chinese manufacturers and international suppliers. Negotiated contracts that reduced procurement costs while ensuring equipment quality and regulatory compliance. • Managed logistics coordination between international suppliers, customs, and hospital delivery teams. Getting diagnostic equipment from a factory in Shenzhen to a hospital in Karachi has a lot of moving parts. • Created Excel-based analytics for equipment performance tracking and hospital KPIs across 50+ healthcare facilities. • Ran the documentation side: technical specs, training materials for hospital staff on new equipment, and compliance paperwork for government tenders. Tech: Excel, procurement systems, vendor management, regulatory compliance

Computer Science with focus on software engineering and data structures. This is where the foundation for everything I build now started - algorithms, databases, system design. Came back to the AI/ML side years later when the tools caught up to the ideas.