Chief Technologist | Technology Executive | Enterprise Architect | Software and System Developer | AI Architect | Cloud Native Engineer
Building intelligent systems that scale seamlessly across clouds and data platforms
Building autonomous AI agents that can reason, plan, and execute complex workflows. Currently exploring:
- AI-powered workflow automation (n8n, Langflow)
- RAG systems with advanced retrieval and contextual reasoning
Creating scalable, resilient applications using modern cloud patterns:
- Serverless architectures (Lambda and Azure Functions)
- Container orchestration (Docker, Kubernetes, ECS, ECR, GitHub Container Registry)
- Microservices (Kafka, MCP)
- Infrastructure as Code (Terraform, CDK, CloudFormation)
Leveraging Snowflake and modern data stacks for insights:
- Snowflake data modeling (LakeHouse, Medallion Architectures)
- Data pipeline orchestration (Tasks, Streams, Procedures)
- Real-time analytics (Steamlit, Cortex Analyst, Cortex Search)
AI Frameworks:
- LangChain, Ollama, OpenAI, Anthropic Vector DBs:
- PostgresVector, Chroma ML/Ops:
- MLflow, Kubeflow, Weights & Biases
AWS Services:
- Compute: Lambda, ECS, EC2, Fargate
- Storage: S3, RDS, DynamoDB, Elasticache
- Analytics: Glue, Athena, Redshift, QuickSight
DevOps Tools:
- IaC: Terraform, AWS CDK, CloudFormation
- CI/CD: GitHub Actions, AWS CodePipeline, Azure Pipelines
- Monitoring: CloudWatch, Datadog, Prometheus
- Containerization: Docker, Kubernetes, Helm
Snowflake Expertise:
- Data Modeling: Star Schema, Data Vault 2.0, LakeHouse
- Performance: Clustering, Materialized Views
- Security: RBAC, Data Masking, Row Access Policies
- Visualization:Streamlit and Native Apps
- Data PipeLines and CI/CD: Streams, Procedures, AWS S3 Integration, OpenAI/Cortex Integration, Azure DevOps/GitHub
- Frontend: React, Next.js, JavaScript, Tailwind CSS
- Backend: Node.js,Express.js, Next.js
- Databases: Oracle,MySQL,PostgreSQL, MongoDB, Redis, Neo4j
- APIs: REST, GraphQL, gRPC, WebSocket
- Cross Platform: PWA, Native Apps, Chrome Browser Extensions
Multi-agent system for complex business process automation
✨ Features:
- Dynamic agent orchestration
- Real-time reasoning and planning
- Enterprise-grade security
- Scalable cloud deployment
- Next.js Frontend with both Server/Action Components and API's
Tech Stack: n8n, Ollama, Snowflake, Docker
Real-time analytics platform
🚀 Highlights:
- Serverless data ingestion pipeline
- Real-time Snowflake transformations
- AI-powered anomaly detection
- Cost-optimized architecture
Tech Stack: Snowflake, Cortex, SchemaManager, Streamlit
n8n-powered automation with AI decision making
🎯 Capabilities:
- AI-driven workflow optimization
- Multi-cloud deployment
- Advanced error handling
- Comprehensive monitoring
Tech Stack: n8n, Ollama, PostgreSQL, Redis, AWS ECS
- 🎯 Advanced Agentic AI - Multi-modal reasoning, long-context processing
- 🌪️ Snowflake Native Apps - Building data applications directly in Snowflake
- ⚡ Performance Optimization - High-throughput AI inference systems
