I am a Software Engineer, AI Engineer, and Physics graduate with over six years of experience building production-grade backend systems, AI-powered applications, automation platforms, and data-driven products.

My work sits at the intersection of Software Engineering, Artificial Intelligence, and Automation. I specialize in designing scalable systems that combine modern backend architectures, LLM-powered applications, agentic workflows, and intelligent automation solutions.

I currently design and develop systems involving:

• AI Agents and Agentic Workflows
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• MCP (Model Context Protocol) Integrations
• Semantic Search and Vector Databases
• Machine Learning Pipelines
• Data Engineering and ETL Workflows
• Financial Transaction Classification Systems
• Distributed Microservices Architectures
• AI-Powered Automation Platforms

My experience includes:

• Designing and building AI agents capable of interacting with APIs, databases, and external systems
• Developing MCP servers and custom tool integrations
• Building multi-agent orchestration systems
• Implementing RAG architectures and semantic search pipelines
• Working with OpenAI, Azure OpenAI, Ollama, and self-hosted LLM deployments
• Developing vector search and embedding-based applications
• Creating AI evaluation, monitoring, and observability workflows
• Designing production-grade backend services and event-driven architectures
• Automating business processes through intelligent workflows

I also actively build private AI systems powered by local language models, developing self-hosted agents and workflows using models such as Llama, DeepSeek, Qwen, Gemma, and other open-source foundation models. These systems focus on privacy, customization, automation, and local-first AI architectures for personal and business applications.

I also explore automation beyond traditional web applications through the Apple ecosystem, building:

• macOS and iOS automation workflows
• Apple Shortcuts integrations
• AI-driven productivity systems
• Cross-device automations between iPhone, Apple Watch, and macOS
• Remote AI agent execution and monitoring workflows
• Swift-based experiments and native Apple integrations

My academic background is in Statistical Mechanics and the learning dynamics of Artificial Neural Networks, where I explored how concepts from physics can be applied to optimization, learning processes, and modern AI systems.

Languages Python • TypeScript • JavaScript • Swift

AI & Agent Engineering MCP • Pydantic AI • LangGraph • LangChain • Sentence Transformers • OpenAI • Azure OpenAI • Ollama • Llama • DeepSeek • Qwen • Gemma • RAG • Vector Search • AI Agents • Multi-Agent Systems • Prompt Engineering • LLM Evals • Agent Observability

Backend & Data FastAPI • Django • Flask • PostgreSQL • MySQL • MongoDB • Redis • RabbitMQ • Apache Airflow • Apache Spark

Infrastructure Docker • Kubernetes • AWS • Linux • Git

Frontend React • Next.js

Machine Learning PyTorch • TensorFlow • Scikit-Learn

I enjoy building systems that combine software engineering, artificial intelligence, automation, and scientific thinking to solve real-world problems.