Skills & Expertise
From understanding a problem to building the solution. The disciplines and tools I connect to design software, work with data, and bring AI into real applications.
Data Science
Reason with data
Explore patterns, test assumptions, and turn raw information into useful models and decisions.
- Python
- pandas / NumPy
- scikit-learn
- Statistical Modeling
- Feature Engineering
- Data Visualization
- Experiment Design
Machine Learning & AI
Build intelligent applications
Connect models, retrieval, and application logic to make AI useful in real workflows.
- LLM Development
- RAG Systems
- LangChain
- Prompt Engineering
- PyTorch
- TensorFlow / Keras
- XGBoost / LightGBM
- Graph Neural Networks
Data Engineering
Keep information moving
Design pipelines and event flows that connect sources, transform data, and support downstream systems.
- Data Pipelines
- ETL / ELT
- SQL
- Data Modeling
- Apache Airflow
- RabbitMQ
- Event-Driven Data Flows
Databases
Give data the right structure
Choose storage and access patterns for relational, document, graph, and vector workloads.
- PostgreSQL
- MySQL
- MongoDB
- DynamoDB
- Redis
- Pinecone
- Neo4j
- Qdrant
MLOps & Cloud
Take systems into production
Bring deployment, infrastructure, and observability together so applications can be operated and improved.
- AWS
- Docker
- Kubernetes
- GitHub Actions
- Model Serving APIs
- Monitoring & Observability
Backend & APIs
Connect the pieces
Build services and interfaces that translate business requirements into maintainable software.
- FastAPI
- Node.js / NestJS
- Java / Spring Boot
- REST APIs
- GraphQL
- Microservices
Soft Skills & Tools
Make engineering a team effort
Communicate technical decisions, clarify requirements, and coordinate work across disciplines.
- English (Fluent C1)
- Technical Communication
- Scrum
- Design Thinking
- Confluence & Jira
From tools to working solutions