Backend Engineering
Python and Django based applications, REST APIs, database-driven systems and business logic.
I work primarily with Python and Django, building practical software systems, REST APIs, automation workflows and AI-powered applications. I also work with Docker, Git and AWS deployment workflows.
Python · Django · REST APIs · Docker · AWS · AI
I'm a Software Engineer focused on building reliable, practical and scalable software.
My experience has involved developing backend systems, business applications, APIs and automation workflows using Python and Django.
I've worked on real-world systems involving healthcare, HR, pharmacy, manufacturing and enterprise workflows.
Recently, I've also been exploring AI-assisted applications, RAG pipelines, Docker-based deployments and AWS cloud infrastructure.
Python and Django based applications, REST APIs, database-driven systems and business logic.
Designing and integrating REST APIs for communication between applications and services.
Building automation workflows that reduce repetitive manual processes and improve operational efficiency.
Experience with MySQL, PostgreSQL and Django ORM for application data management.
Containerizing applications, environment configuration and deployment workflows.
Exploring RAG architectures, embeddings, vector search and LLM-powered applications.
A practical engineering stack focused on backend development, APIs, databases, cloud deployment, automation and AI-powered applications.
Professional certifications and credentials that support my engineering, Python, AI and cloud skill set.
Professional certification demonstrating Python programming knowledge and development skills.
Certification focused on generative AI, ChatGPT and practical AI application concepts.
Certification covering practical usage of Claude Code for modern AI-assisted development.
Verified Microsoft credential demonstrating participation and achievement in AI learning.
A selection of real-world software systems, backend platforms and deployment projects I've worked on.
I'm exploring practical AI systems, especially Retrieval-Augmented Generation, embeddings, vector search and LLM-based assistants.
I'm using this project to learn and demonstrate real-world deployment using Docker and AWS while keeping the infrastructure cost-conscious.
Source control and version management for the complete project.
Cloud deployment and infrastructure learning using AWS services.
Containerized application environment for consistent deployment.
Backend framework powering the application and content.
Open to interesting engineering problems, backend systems, AI projects and cloud opportunities. If you're building something useful, let's talk.