Skills & Technical Capabilities
Organized by engineering capability — combining applied AI and agentic systems with disciplined AI-assisted development (Claude Code, Cursor) and robust backend and full-stack foundations.
Backend Engineering
- Python
- FastAPI
- TypeScript
- NestJS
- Node.js
- PHP
- Laravel
- REST APIs
Frontend Engineering
- React
- Next.js
- Vue.js
- Nuxt.js
- Tailwind CSS
- Material UI
Demonstrated in:
Data, Databases & Caching
- PostgreSQL
- Relational Schema Design
- Query Optimization
- MySQL
- SQLite
- Redis
Demonstrated in:
Applied AI & Agentic Systems
- RAG
- Multi-Agent Systems
- LangChain
- LangGraph
- AWS Bedrock
- ChromaDB
- LLM Evaluation
Demonstrated in:
Cloud & Delivery
- AWS (Bedrock, ECS, Amplify, RDS, S3, CloudWatch)
- Docker
- CI/CD Pipelines
- Logging & Monitoring
Demonstrated in:
AI-Assisted Development
Used throughout development while retaining responsibility for architecture, code review, and testing.
- Claude Code
- Cursor
- Antigravity
Demonstrated in:
Academic Knowledge & Familiarity
Academic coursework and thesis research; separated from production implementations.
- Semantic Web (Ontologies, RDF, OWL, SPARQL)
- PyTorch
- scikit-learn
- Multi-Objective Optimization
- Kubernetes
