Malik Williams
I build production AI systems, distributed microservices, and enterprise infrastructure. Currently at RealPage shipping MCP-powered AI tooling and A2A orchestration at scale. Based in Las Vegas, NV.
Skills
Languages
- Python
- Java
- JavaScript
- Go
- R
- HTML / CSS
- JCL / COBOL
AI & ML
- MCP (Model Context Protocol)
- Agent-to-Agent Orchestration
- Vector Stores
- Quantum-Classical Hybrid
- Data Science / ETL
Backend & Architecture
- CQRS / Event-Driven
- Microservices
- REST APIs
- Spring / Node.js / Django
- IBM z/OS Mainframe
Cloud & DevOps
- AWS
- Azure DevOps
- GitLab CI/CD
- VMware vSphere
- Docker
Observability & Infra
- ScienceLogic
- F5 Load Balancers
- Graylog
- Zabbix
- SAST / Security Gates
- Secrets Management
- SCADA Systems
Experience
- Built a production MCP server integrating Claude Code into internal engineering workflows — enabling AI-assisted code generation and automation adopted transparently across the org.
- Upskilled a senior engineering team on MCP architecture and practical AI integration, accelerating AI-assisted development practices organization-wide.
- Developed an A2A (Agent-to-Agent) orchestration system in Java coordinating multi-step AI tasks and context-sharing via vector store across distributed microservices.
- Implemented CQRS-based database architecture, improving performance and data clarity for application workflows.
- Designed Python-based ETL pipelines to extract and load infrastructure data from vSphere into application-ready data stores.
- Modernized legacy backend systems, reducing technical debt by 30% through cleaner API patterns and automated refactoring pipelines.
- Built and automated enterprise-grade CI/CD pipelines in GitLab and Azure DevOps — zero manual intervention Dev to Production with integrated security gates and observability hooks.
- Maintained and updated JCL jobs on IBM z/OS, resolving abends, dataset issues, return codes, and scheduling failures for mission-critical utility operations.
- Created and implemented JCL batch jobs supporting COBOL-based mainframe applications.
- Monitored enterprise infrastructure across Windows, Oracle/Linux, VMware, F5 load balancers, and SCADA systems using ScienceLogic.
- Responded to production incidents impacting critical utility operations; documented batch workflows and operational procedures for knowledge transfer.
- Provided Tier II technical support, diagnosing and resolving complex customer-facing issues in a high-volume environment.
Projects
Personal SaaS project built to stay sharp at the cutting edge of AI tooling. A production-grade MCP server enabling AI-assisted code generation and workflow automation.
Agent-to-Agent orchestration layer in Java coordinating multi-step AI tasks and context-sharing via vector store across distributed microservices at scale.
Exploring quantum computing integration with classical AI systems. IBM Certified Associate Developer in Quantum Computation using Qiskit, with multiple IBM Quantum Challenge Advanced completions.
Education
Open to New Opportunities
Looking for senior and staff-level engineering roles, consulting, and interesting problems at the intersection of AI and distributed systems.