Seasoned Solution Architect with AI/ML Integration Expertise

As a Solution Architect with more than two decades of hands-on experience, I specialize in designing and delivering end-to-end, high-availability systems that harness AI/ML, cloud platforms, and microservices to solve complex business challenges. At MetaMirror.ai, which I co-founded in May 2024, I led the architecture of our flagship analytics platform. I defined a hybrid cloud strategy—leveraging AWS for burst compute and Azure for identity services—while implementing Kubernetes-orchestrated microservices to ensure zero-downtime deployments. I collaborated with data scientists to embed machine learning models directly into API-driven services, boosting inference throughput by 40%. By codifying infrastructure as code (Terraform and ARM templates), I reduced provisioning times by 60% and enabled consistent, audit-ready environments across development, staging, and production.

In my role as AI Value Creator at Optimus Exitus, I architected modular AI contact-center solutions that integrate speech-to-text and NLP engines with existing CRM systems. I designed secure, event-driven data pipelines on AWS Lambda and Kinesis, which ingested and processed over 2 million customer interactions per month. This architecture accelerated actionable insights, shortening decision-cycle times by 25% and reducing client acquisition costs by 20%. As Advisor, Go-To-Market for Stay At Home Docs, I translated telehealth business requirements into a scalable, HIPAA-compliant microservices architecture. I defined API contracts, chose containerization patterns (Docker Swarm), and established CI/CD workflows that supported bi-weekly releases—ultimately growing active users 250%.

Earlier engagements have sharpened my ability to apply solution architecture principles in diverse sectors. As Chief Revenue Officer at We Decode, I championed a cloud-native genomics analytics pipeline, combining AWS Batch for batch genomics workflows and Amazon S3 for data archival. At Lifemesh.ai, I architected an AI-driven contact center processing 40,000 patient calls monthly; by introducing asynchronous messaging and stateless worker pods, call-abandonment rates dropped by 89%. My tenure at MicroStrategy showcased my skills in high-performance ETL: I designed a $5 million analytics pipeline that fused on-premises Oracle warehouses with cloud-based Snowflake environments. Leading the NSF I-Corps call-routing prototype, I devised an AWS Connect integration that cut call abandonment by 83%.

My foundation in enterprise BI and data warehousing was forged over nine years at Mi9 Retail, where I progressed from team lead to Solution Principal. I architected multi-tenant, dashboard-driven analytics platforms with 99.9% uptime, improved forecasting accuracy by 41%, and automated 200+ ETL reports. Earlier roles at Holt Renfrew, Nextnow, and Amdocs entrenched my expertise in data modeling, dimensional design, and pre-sales proof-of-concepts for telecom and retail giants.

Core competencies:
• Solution architecture for AI/ML and big-data ecosystems  
• Cloud-native design (AWS, Azure, hybrid, on-premises)  
• Container orchestration (Docker, Kubernetes) and microservices  
• Infrastructure as code and CI/CD pipelines  
• API design, event-driven architectures, and real-time data processing  
• High-availability, disaster recovery, and security best practices  

I combine strategic vision with deep technical acumen to deliver scalable, maintainable solutions that demystify emerging technologies and drive measurable business value.