I’m a Full-Stack Developer specializing in AI-driven SaaS products, with experience building reliable, user-focused platforms from end to end. I enjoy working on projects where technology solves real problems for real people, and I focus on keeping my solutions simple, scalable, and effective.
On the backend, I build secure and maintainable APIs, integrate AI features, and design architectures that can handle growth without slowing down. On the frontend, I create clean, responsive interfaces that feel fast and intuitive, using modern frameworks and best practices to improve user experience.
I’m comfortable working across the full product lifecycle — planning, development, testing, deployment, and ongoing improvement. I collaborate closely with teams, communicate clearly with non-technical stakeholders, and always aim to deliver high-quality results on time.
I have built and delivered multiple full-stack projects, including an AI-based B2B Smart Parking SaaS platform featuring real-time vehicle recognition, automated monitoring, admin dashboards, and scalable backend services. My work spans end-to-end development across FastAPI, Python, Node.js, React, PostgreSQL, AWS, Docker, and CI/CD pipelines, covering features like API integrations, data processing workflows, role-based dashboards, secure authentication (OAuth2/JWT), and performance-optimized UIs. I have also developed internal tools, booking systems, AI-powered automations, and high-traffic web applications, maintaining clean architecture, reliability, and production-ready code throughout all projects.
I have built and delivered multiple full-stack projects, including an AI-based B2B SaaS platform for smart parking at ParkingComplianceSystems.com — a system designed to help parking operators automate vehicle recognition, real-time occupancy tracking, and automated billing & enforcement. I developed the backend services, integration with AI and sensor data, and the web dashboard for admins and operators, using technologies like Python, FastAPI, PostgreSQL, React, Docker, and AWS. I have also built internal tools, booking and reservation systems, and high-traffic web applications always ensuring scalable architecture, maintainable code, secure authentication (OAuth2/JWT), and responsive user interfaces.
InsightFlow is an AI-driven B2B analytics platform designed to help small and mid-sized companies turn raw business data into real-time insights, forecasts, and automated reports. I developed the platform’s full-stack architecture, including the data ingestion pipeline, backend APIs, authentication workflow (OAuth2/JWT), and the admin dashboard. I integrated AI models to generate automated insights, anomaly detection alerts, customer behavior predictions, and natural-language summaries for weekly reports. On the frontend, I built interactive dashboards using React, React Query, and Tailwind CSS, with data visualizations powered by Recharts. The platform was deployed on AWS using Docker, CI/CD pipelines, and scalable PostgreSQL instances. InsightFlow helped clients reduce manual reporting time by 70% and improved decision-making with AI-generated insights.




