Full Stack Developer and Software Engineering student with hands-on experience building and delivering production-quality web applications. Strong focus on modern TypeScript-based development, with experience across both frontend and backend architecture. Comfortable working independently or within multidisciplinary teams, from translating requirements and UI designs into responsive interfaces to designing APIs, integrating databases, and deploying applications.
Currently expanding my expertise toward AI, Machine Learning, and intelligent application development, with practical experience integrating LLMs, LangChain, LangGraph, and AI-powered workflows into web applications.
Technical Skills
- Frontend: React, Next.js, TypeScript, JavaScript, Tailwind CSS, responsive UI/UX, GSAP, Framer Motion
- Backend: Node.js, Hono, Express.js, REST APIs, serverless and edge-oriented architectures
- Databases: PostgreSQL, SQL, Prisma, TypeORM, relational data modeling, query optimization
- AI & Machine Learning: Python, LangChain, LangGraph, LLM integrations, AI agents, automation and data processing
- DevOps & Tools: Git, GitHub, Docker, CI/CD fundamentals, VPS deployment, Linux, Vercel, Dokploy
- Development Practices: API design, debugging, code organization, performance optimization, authentication, documentation, Git-based workflows
- Design: UI implementation from Figma/Adobe XD, responsive layouts, interaction design, modern web interfaces
Relevant Experience
- Developed and maintained full-stack web applications using Next.js, React, TypeScript, Hono/Express, PostgreSQL and Prisma.
- Built production-oriented APIs and backend services with authentication, database integration, validation, and structured application architecture.
- Implemented responsive and modern interfaces with React, Next.js and Tailwind CSS, with attention to usability, performance, and visual quality.
- Integrated AI and LLM capabilities into applications using LangChain and LangGraph, including agent-based workflows and tool integrations.
- Worked with Python for automation, data processing, and AI/ML-oriented development.
- Used Git and GitHub for version control, branching, collaboration, and deployment workflows.
- Deployed applications using Docker, VPS environments, Vercel and Dokploy, gaining practical experience with containerized applications and deployment troubleshooting.
- Comfortable working across the complete development lifecycle: requirements → architecture → implementation → testing → deployment → maintenance.
Education
- Engineering studies in Software Development / Digital Engineering, with a current focus on expanding expertise in Artificial Intelligence, Machine Learning, Big Data, and modern software engineering.
