Cloud Solution Architect with over 8 years of experience designing enterprise-scale Azure and AWS solutions for AI, cloud migration, security, and data analytics. Approximately 60% presales support driving six- to seven-figure opportunities in banking, healthcare, and government.
Organizations need more than technical skills. They need architects who can run client requirements workshops, build PoC demonstrations, author SOWs and roadmaps, present ROI to C-level stakeholders, and then follow through with implementation leadership.
That is the role I play: translating business requirements into cloud and AI solutions, then guiding teams from proposal through production with clarity, compliance, and measurable results across regulated industries.
Microsoft Azure (IaaS, PaaS, Compute, Storage, Networking, M365, DR, Backup, Migration), AWS, Hybrid and Private Cloud, Multi-Cloud Strategies, Enterprise Architecture, Landing Zones.
Generative AI, Agentic AI, RAG, MCP, Prompt Engineering, Fine-Tuning, Evaluations. Azure AI, OpenAI Services, LangChain, Haystack, Copilot Studio, GitHub Copilot, Ollama. Prompt Flows, AI Custom Bots/Agents.
TCP/IP, VLAN, VPN, NAT, IPS/IDS, WAF, Load Balancing, IPsec, SD-WAN. Firewalls (Cisco, Fortinet, Palo Alto), Alert Logic XDR, MDR, SOAR, SIEM. Routing (BGP, OSPF), Switching, SDN.
Terraform, CI/CD Pipelines, Kubernetes, Docker. Virtualization (Hyper-V, VMware, vSphere). Backup/DR (Veeam, Commvault, Zerto).
SQL (Joins, Subqueries, Triggers, Views), NoSQL. Data Capture (ABBYY, Kofax). Azure DevOps, Azure Fabric, Power Platform.
ServiceNow, JIRA, Salesforce, Dynamics CRM, Wireshark. IDEs: Kiro, Visual Studio Code. Languages: Python, Java, YAML, PowerShell, Bash.
100+ projects across banking, healthcare, and government at enterprise scale.
Led enterprise-scale Azure hybrid cloud architecture and presales for over 100 projects, aligning solutions with security, scalability, and business needs across regulated industries.
Bringing Azure AI and generative AI into enterprise client workflows.
Integrated AI into client solutions using Azure OpenAI, LangChain, and Haystack, delivering enhanced monitoring, observability, and data-driven enterprise capabilities.
Bridging technical depth and business outcomes for six- to seven-figure deals.
Led pre-sales engagements and PoCs including cloud automation demos using Terraform/CI-CD that achieved measurable efficiency gains and secured multimillion-dollar contracts. Presented architectures and demos to C-level stakeholders.
Full lifecycle delivery from requirements through production in regulated environments.
Analyzed client requirements to design and implement tailored workflows, managed full project lifecycles including Azure migrations, testing, security vulnerability resolution, and SLA-compliant support.
"Delivered 100+ cloud and hybrid solutions across finance, healthcare, government, and non-profit sectors, meeting strict performance, security, and compliance standards."
"Led pre-sales engagements and PoCs, including a cloud automation demo using Terraform/CI-CD that achieved 25% operational efficiency gains and secured multimillion-dollar contracts."
"Presented architectures and demos to C-level stakeholders, bridging technical and business teams to support six- to seven-figure deals."
The best conversations are about enterprise cloud architecture, AI integration, presales engineering, or evaluating how cloud and AI leadership can accelerate your organization's goals.