I'm a Full-Stack Software Engineer with a strong focus on AI systems, LLM applications and intelligent agents. I design and build scalable back-end architectures while integrating machine learning and generative AI to solve real-world problems.
- AI & LLM Engineering: RAG pipelines, semantic search, embeddings, vector databases (Qdrant, pgvector), LLM orchestration, tool-based agents, LLM API integrations.
- Backend Engineering: Node.js (Express, NestJS, Fastify), Python (FastAPI), REST APIs, authentication, scalable architectures.
- Databases & Messaging: MongoDB, PostgreSQL, MySQL, Redis, Elasticsearch, RabbitMQ.
- Frontend & Mobile: React, Next.js, React Native, modern UI patterns and API integration.
- Machine Learning: TensorFlow, Scikit-learn, NumPy, Pandas, predictive modeling and feature engineering.
- Cloud & DevOps: AWS (S3, EC2, Lambda), Docker, CI/CD, GitHub Actions, Linux.
- AI agents that automate complex workflows and decision processes.
- LLM-powered systems with retrieval and reasoning capabilities.
- Scalable APIs for AI-driven applications.
- Master’s degree in Applied Computing.
- Development of patented software in bioinformatics and agriculture.
- Research combining neural networks and evolutionary algorithms for predictive modeling.
- Advanced LLM architectures and multi-agent orchestration.
- Evaluation, observability and reliability in AI systems.
- Scalable system design for AI-driven applications.
- AI Engineering roles
- Backend or Full-Stack positions involving intelligent systems
- Collaborations on AI and developer tools projects
