Backend API Development
Design and build secure backend services using Python, FastAPI, Django, and Django REST Framework.
Freelance Software Engineer
I help startups and product teams build scalable APIs, AI-assisted workflows, and cloud-ready services. You get structured execution, clear communication, and production-minded implementation.
Services
I offer execution-focused engineering support across backend systems, AI integration, frontend integration, cloud delivery, and security hygiene.
Design and build secure backend services using Python, FastAPI, Django, and Django REST Framework.
Build practical LLM workflows with LangChain, OpenAI API, and ChromaDB for product and internal use cases.
Improve response time and reliability with Redis caching, bottleneck fixes, and targeted backend tuning.
Prepare applications for cloud rollout with Docker-based deployment flows and CI/CD support in AWS environments.
Support React.js and Flutter implementation for API-connected pages, forms, and business workflows.
Apply practical security checks and safer implementation patterns across applications and supporting infrastructure.
Why Me
I work with founders, agencies, and product teams that need dependable engineering delivery without long hiring cycles. I can step in for greenfield builds, feature sprints, and stabilization of existing backend services.
My background spans backend engineering, AI/RAG workflows, frontend integration, and cloud operations. I focus on clear communication, realistic milestones, and consistent delivery from implementation to handover.
Understand goals, constraints, and user impact before implementation.
Ship in clear weekly checkpoints so progress is visible and reviewable.
Test critical flows, improve reliability, and prepare deployment safely.
Provide documentation and post-launch support for smooth ownership transfer.
Technical Stack
To keep this trustworthy, tools are grouped by actual usage level in my projects.
Used regularly in production and core project delivery.
Used when project scope needs integration, deployment, or UI support.
Practical exposure from internships and earlier engineering roles.
Primary
Daily stack for API design, service logic, testing, and performance-focused backend delivery.
Primary
Used in project workflows for retrieval-based assistants and LLM-backed developer tooling.
Supporting
Used for containerization, deployment workflows, and release support during delivery.
Supporting
Used to connect backend services with product-facing UI screens and workflows.
Foundation
Hands-on exposure from cybersecurity and Linux administration roles.
Foundation
Used for data preparation and experimentation support in ML-oriented tasks.
Selected Work
Built and owned a FastAPI pricing backend with Redis caching and test coverage for high-volume product flows.
Built an AI assistant that combines RAG retrieval with MCP tool calls to answer developer questions using indexed code context plus live Git data such as commits, branches, and repository history.
Worked on Linux server operations, AWS infrastructure support, and practical security tasks including vulnerability scanning and network diagnostics.
Contact
Share your scope, timeline, and current blockers. I will reply with a practical plan, estimated engagement model, and next steps.