I'm an engineer passionate about building intelligent systems that transform complex data into actionable insights. Currently working at ProFinTech Technologies, architecting AI-powered enterprise platforms.
Over the past year, I've been deep in the trenches building multi-agent AI systems, knowledge graphs, and cloud-native microservices. My work sits at the intersection of LLMs, Graph Databases, and Data Engineering.
- Multi-Agent AI Systems - Orchestrating LLM-powered agents using LangChain & Google ADK
- Knowledge Graphs - Building entity relationships with Neo4j & Cypher
- Cloud-Native Architecture - Designing microservices on GCP with Kubernetes & Terraform
- Data Pipelines - Automating ETL workflows with Apache Airflow
- Full-Stack Development - APIs with FastAPI, frontends with React/TypeScript
- DevOps & QA - CI/CD pipelines, E2E testing with Playwright
graph LR
A[Multi-Agent Systems] --> B[Enterprise Automation]
B --> C[Knowledge Graphs]
C --> D[Real-time Insights]
D --> E[Enterprise Scale]
E --> A
- Building sophisticated multi-agent AI architectures with Google ADK
- Scaling graph-based data models with Neo4j
- Creating intelligent automation for accounts payable, receivable, and tax workflows
- Designing cloud-native microservices on GKE
| Repository | Description |
|---|---|
| adk-python | Google's Agent Development Kit - Python toolkit for building AI agents |
| Google-Cloud-Skills-Boost | GCP learning notebooks and exercises |