CHANCELLOR MINUS

Leading AI/ML engineering initiatives and cloud infrastructure modernization. Building enterprise-grade AI solutions including intelligent chatbots, RAG systems, and AI agents while maintaining scalable data pipelines and DevOps workflows across multi-cloud environments.

• ▹Proficient in implementing governance frameworks, designing networking architectures, and managing cloud databases on AWS, Azure, and GCP.
• ▹Engineered AI-powered applications using LLMs (GPT, Claude, Gemini, Llama) with RAG architectures and vector databases (Pinecone, Chroma, S3 Vector)
• ▹Developed production applications with Azure AI Foundry and AWS Bedrock APIs, integrating Azure OpenAI and OpenAI SDK for intelligent features
• ▹Built full-stack AI web applications using React, Next.js, TypeScript, ShadCN UI with Clerk authentication and Stripe payment processing
• ▹Leveraged modern AI development platforms including Cursor AI, Vibe Coding, Replit, Firebase Studio AI, and Manus for rapid application development
• ▹Implemented MCP (Model Context Protocol) integrations for enhanced AI agent communication and orchestration
• ▹Designed and deployed MLOps pipelines using Amazon SageMaker, Azure Machine Learning, Google Vertex AI, MLflow, and Apache Airflow for model training, versioning, and automated deployment on cloud GPUs
• ▹Architected scalable ETL/ELT data pipelines using Databricks, Data Factory, PySpark, Airflow, AWS Glue, and Delta Lakehouse systems
• ▹Automated infrastructure provisioning with Terraform and Pulumi across AWS, Azure, and GCP environments
• ▹Orchestrated enterprise-level Microsoft 365 environments, managing Teams, SharePoint, and Exchange Online while automating business processes with Power Automate and streamlining device management with AutoPilot and InTune.
• ▹Skilled in Microsoft Fabric for designing and managing scalable data infrastructures to collect, process, and analyze large datasets.
• ▹Implemented CI/CD pipelines using GitHub Actions and Azure DevOps for containerized microservices on Kubernetes
• ▹Developed backend APIs with Python (FastAPI, Flask, Django) and Node.js for AI model integration
• ▹Tested and debugged APIs using Postman and Insomnia for comprehensive validation and documentation
• ▹Integrated streaming data solutions with Kafka and Kinesis for real-time analytics dashboards
• ▹Experienced in using Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn for data manipulation, analysis, visualization, and machine learning

Highly motivated and results-oriented DevOps Engineer with expert knowledge of cloud concepts and AWS services. Proven ability to design, implement, and manage secure and scalable cloud infrastructure across AWS, Azure, and GCP.

• ▹Designed and implemented secure CI/CD pipelines using Jenkins, Azure DevOps, GitLab, and GitHub Actions for microservices deployments across Kubernetes clusters (AKS, EKS, GKE)
• ▹Automated infrastructure provisioning using Terraform and Ansible for multi-tier environments across AWS, Azure, and GCP
• ▹Implemented Helm charts and Argo CD for GitOps-based deployments, ensuring configuration consistency across all environments
• ▹Integrated security scanning with Trivy and secret management using Azure Key Vault, AWS Secrets Manager, and HashiCorp Vault
• ▹Developed automated testing pipelines with Pytest and Selenium for comprehensive application validation
• ▹Implemented service meshes (Istio) and monitoring solutions (Prometheus, Grafana) for enhanced observability
• ▹Architected data integration pipelines using Azure Data Factory, Databricks, and Synapse Analytics for big data processing
• ▹Managed container registries (ACR, ECR, GCR) with strict access controls and versioning policies

Developed and managed Azure, Microsoft 365 cloud, AWS, and On-Premises environments. Performed DevOps tasks including plugin management, automation server configuration, CI/CD pipeline development, and continuous monitoring.

Managed Bravia's Virtual Private Network and Hybrid Cloud infrastructure supporting 250 users across New York, Hong Kong, and Japan. Led migration of On-Premises Exchange, SQL, and SharePoint servers to Microsoft 365 and Azure.

Responsible for developing and supporting on-premise and cloud infrastructure for 125 users across three remote sites. Managed Windows Server, Exchange, SQL Server, SharePoint, Office 365, and network infrastructure.

Built and managed the enterprise LAN, WLAN, and Site-to-Site VPN infrastructure spanning 15 corporate locations. Administered IBM AS/400 (IBM i) systems supporting mission-critical ERP and business applications, and led the operation of a high-availability VoIP network serving 500+ users across 15 remote offices. Oversaw all IT infrastructure operations, providing strategic guidance and reporting directly to the CEO and CFO.