Software and AI Engineer | 4+ Years Expeirence | Python, Django, AI Engineering, Infrastructure

I’m a Backend Software Engineer with 4+ years of experience building scalable Python services, REST APIs, and production applications across ERP systems and AI agent platforms. I combine backend engineering, practical AI development, and infrastructure experience to take applications from development through deployment and ongoing operation.

My core stack includes Python, Django, FastAPI, and Flask. I build backend services, event-driven microservices, and asynchronous workflows that connect business logic, databases, and external systems. Working on ERP platforms has strengthened my ability to understand complex requirements, navigate existing codebases, and deliver maintainable features without disrupting established workflows.

In AI engineering, I work with LLMs, LangChain, LangSmith, and the Model Context Protocol (MCP) to build AI agents, RAG applications, and tool-driven workflows. My experience includes connecting models with enterprise data, APIs, and application functionality. I focus on making these systems useful in production through clear tool interfaces, input validation, permissions, error handling, and observability.

I have strong knowledge of vector databases, embeddings, semantic search, and retrieval architectures. I understand the complete RAG workflow, from preparing and chunking source content to managing metadata, retrieving relevant context, and integrating it into model responses. I pay attention to how data quality, retrieval decisions, and changing information affect the reliability of an AI application.

My experience extends to databases, server-side systems, cloud infrastructure, and deployments across AWS, GCP, and DigitalOcean. I work with Docker and CI/CD to support consistent releases and manageable environments. I enjoy understanding how services, background workers, databases, and infrastructure interact, and tracing production issues through logs, API behavior, and database queries.

I have integrated third-party platforms including Slack, Gmail and Google services, WhatsApp, Twilio, DocuSign, and Cal.com. These integrations support communication, scheduling, document workflows, and agent capabilities, with attention to authentication, reliability, and predictable behavior.

Testing and code quality are central to my workflow. I have experience reviewing code, improving test coverage, and refining development pipelines. I use Claude Code, Cursor, and GitHub Copilot throughout development, QA, and validation, while taking responsibility for reviewing generated code, checking assumptions, and verifying the final behavior.

I’m particularly interested in opportunities that combine Python backend engineering, production AI, data retrieval, and cloud infrastructure. I bring hands-on implementation experience, a strong understanding of systems, and ownership of the work required to keep applications reliable after deployment.