I am a software engineer specializing in system architecture, backend development, data engineering, and artificial intelligence.

My work focuses on designing scalable systems, selecting the right technologies, solving complex engineering problems, and building reliable solutions from architecture to production.

I enjoy working at the intersection of software engineering, cloud infrastructure, data platforms, and AI, where technical decisions have a direct impact on performance, maintainability, and business outcomes.

• Designing scalable, maintainable, and secure software architectures.
• Building backend services, REST APIs, and distributed systems.
• Designing authentication, authorization, and service integrations.
• Evaluating architectural trade-offs and selecting technologies.
• Developing full-stack applications with modern frameworks.

• Designing and implementing ETL/ELT pipelines.
• Building data ingestion, transformation, and orchestration workflows.
• Developing analytical data models and reporting infrastructure.
• Automating data processing and business intelligence workflows.
• Working with relational databases, SQL optimization, and data integration.

• Building Retrieval-Augmented Generation (RAG) systems.
• Integrating large language models into applications and workflows.
• Working with embeddings, vector search, and semantic retrieval.
• Exploring model training, fine-tuning, and local LLM deployment.
• Designing AI-powered services and agent-based architectures.

• Designing and deploying cloud-based applications.
• Containerizing applications and managing multi-service environments.
• Implementing CI/CD workflows and automated validation.
• Working with cloud identity, authentication, and infrastructure security.
• Exploring infrastructure as code and Kubernetes orchestration.

Software Architecture

Designing systems with clear boundaries, maintainable components, secure integrations, and well-defined responsibilities.

Distributed Systems & Backend Engineering

Building reliable APIs, asynchronous workflows, service integrations, and scalable backend infrastructure.

Data Platforms

Creating robust data pipelines, analytical infrastructure, and automated processes that transform raw data into useful information.

Applied AI

Integrating LLMs, retrieval systems, and AI agents into real-world applications, with an emphasis on reliability and practical value.

Cloud & Platform Engineering

Improving deployment workflows, infrastructure automation, observability, and the developer experience.

I believe good engineering is not about using the most technologies. It is about making the right technical decisions.

My approach emphasizes:

• Architecture first: Understand requirements, constraints, and trade-offs before implementation.
• Pragmatic technology selection: Choose tools based on actual needs rather than trends.
• Security by design: Treat authentication, authorization, and data protection as architectural concerns.
• Automation: Reduce repetitive work through reproducible processes and tooling.
• Maintainability: Build systems that are understandable, testable, and adaptable.
• Continuous learning: Explore emerging technologies while maintaining strong engineering fundamentals.

• AI agents and Model Context Protocol (MCP).
• Local LLM deployment and inference infrastructure.
• Kubernetes and cloud-native architectures.
• Infrastructure as Code.
• Advanced software architecture patterns.
• AI-assisted software development workflows.

I am particularly interested in engineering challenges involving:

System Design · Backend Architecture · Data Platforms · AI Engineering · Cloud Infrastructure · Technical Leadership

My goal is to build systems that are not only functional, but also reliable, scalable, secure, and sustainable over time.