Seasoned Full-stack Software Engineer with extensive experience building scalable web and cloud applications. Passionate about delivering end-to-end solutions, from backend architecture to intuitive UIs, with expertise in AWS/GCP cloud deployments, AI integrations, and cross-functional collaboration in fast-paced environments.
- Built a Model Context Protocol (MCP) server in TypeScript/Node.js for automated AWS infrastructure security scanning
- Integrated Python-based tools (Checkov, Semgrep, Bandit, Syft) with LangGraph orchestration
- Leveraged AWS Bedrock's Claude Sonnet LLM for AI-driven vulnerability explanations
- Performance: Reduced security review time from 20+ minutes to under 4 minutes
- Tech: TypeScript, Node.js, Python, AWS Lambda, LangGraph, React, Redux Toolkit
- Developed comprehensive testing platform for Google hardware (Pixel phones, watches, tablets)
- Built Python FastAPI backends paired with Node.js services for data aggregation
- Created real-time Angular dashboards with RxJS observables and Angular Material
- Integrated TensorFlow-based ML models for predictive hardware failure analysis
- Impact: Improved maintainability and reduced bundle size by 25%
- Tech: Python, FastAPI, Node.js, Angular, TypeScript, TensorFlow, GCP, Kubernetes
- Re-architected monolithic healthcare system into microservices using Node.js/NestJS and Python/Django
- Built secure HL7/FHIR API endpoints with encrypted communication for HIPAA compliance
- Developed React/TypeScript dashboards with Redux Toolkit and React Query
- Implemented revenue cycle management workflow automating claims submission and payment reconciliation
- Performance: Improved load times and reduced bundle size by 20%
- Tech: Node.js, NestJS, Python, Django, React, TypeScript, AWS ECS, RDS, S3
- Microservices & Event-Driven Architecture
- API Gateway & CQRS Patterns
- Serverless Architectures (AWS Lambda, GCP Cloud Functions)
- Component Libraries & Design Systems
- CI/CD Pipelines (GitHub Actions, Jenkins, GitLab)
- Container Orchestration (Docker, Kubernetes)
- Advanced RAG pipelines and Vector Search implementations
- AI-powered development tools and LLM integrations
- Edge computing and real-time data processing
- Web3 and blockchain technologies
