Project Portfolio
Deep technical dives into the systems I've architected, deployed, and scaled in production environments.
Serverless Orchestration Engine for Autonomous Operations
The need for a robust, scalable, and intelligent system to execute complex, multi-dependency workflows that exceed the capabilities of off-the-shelf automation tools. Existing solutions (Zapier, Make, n8n) lack the sophistication for true enterprise-grade orchestration: dynamic dependency resolution, sophisticated error recovery, and stateful execution across distributed systems.
The Architecture
The system is built on an event-driven, blueprint-based architecture. It leverages a multi-worker, serverless design using AWS Lambda for actions, ensuring both infinite scalability and minimal operational cost. The engine interprets declarative blueprints (workflow definitions) and orchestrates execution across distributed compute resources.
Core Design Principles:
- Event-Driven: Triggered by external events (API calls, scheduled cron, webhook events)
- Declarative Blueprints: Workflows defined as code, version-controlled, and easily testable
- Stateful Execution: Persistent tracking of every workflow instance, enabling pause/resume and forensic analysis
- Serverless-First Compute: Lambda-based action execution for cost efficiency and infinite horizontal scaling
Key Technical Features
Multi-level Dependency Management
Supports sequential, parallel (fan-out), and conditional dependencies. The orchestrator builds a directed acyclic graph (DAG) from blueprints and executes nodes based on dependency resolution.
Production-Grade Error Handling
Configurable retry logic with exponential backoff, dead-letter queues for failed actions, and automated rollback mechanisms for critical workflows.
Persistent State Management
PostgreSQL-backed state store tracks every workflow execution, action result, and system event. Enables complete audit trails and post-mortem analysis.
CI/CD Pipeline Integration
Automated deployment via GitHub Actions. Every blueprint change triggers automated testing, linting, and deployment to staging/production environments.
AI-Powered Decision Making
Integrated RAG (Retrieval-Augmented Generation) module for dynamic decision-making. The engine can query knowledge bases and make intelligent routing decisions mid-workflow.
Stateful & Idempotent Execution
Ensures workflows can be safely retried and recovered, preventing duplicate operations in critical systems.
Real-time Monitoring & Observability
Custom dashboard for live workflow tracking, performance metrics, and alerting. CloudWatch integration for infrastructure-level monitoring.
Technology Stack
Infrastructure: AWS Lambda, S3, EventBridge, SQS, RDS (PostgreSQL)
Orchestration: Custom-built DAG execution engine
CI/CD: GitHub Actions, Docker
AI Integration: OpenAI API (GPT-4), LangChain for RAG
Monitoring: CloudWatch, custom dashboards
Why This Matters
This is not a proof-of-concept. This is production-grade infrastructure designed to handle mission-critical workloads. The architectural patterns used—serverless compute, event-driven design, stateful execution—are the same ones proven at scale by companies like Airbnb (Airflow), Uber (Cadence), and Netflix (Conductor). I built this from first principles, demonstrating deep systems thinking and architectural competence.
Autonomous Digital Asset Venture
System Architecture
Technical Highlights
Hybrid Low-code/Pro-code Architecture
Leveraged n8n for rapid API orchestration while using custom Python and Playwright scripts for complex transformations where low-code tools failed.
"Last-Mile" Automation
Successfully automated marketplace deployment using custom browser automation, achieving true end-to-end automation without manual intervention.
Scalable Asset Management
Utilized AWS S3 for cost-effective storage, allowing the portfolio to scale to thousands of products without infrastructure constraints.
Business Impact
Technology Stack
AI Services: OpenAI API (GPT-4 for content generation)
Storage: AWS S3 (asset storage), Supabase (PostgreSQL)
Automation: Playwright (browser automation), Google Sheets (data queue)
Infrastructure: Google Drive (templates), Digital Marketplace APIs
Interested in Working Together?
I design and deploy systems like these for high-value clients and organizations. If you have a complex operational challenge, let's discuss.
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