AI Engineer & Full-Stack Developer
Key Highlights
Capabilities Utilized in Professional Practice
AI Automation Engineering - AI Product Engineering
AI-Enhanced Development Tools ( Codex, Verdent, Claude Code, Trae, Antigravity)
Large Language Models (LLMs), Code Review Tools. (Claude, GPT, Gemini, GLM, Kimi - their various models, CodeRabbit for code reviewing)
Spec Driven Development Tools for Agentic Coding. (Agent OS, Spec Kit, OpenSpec)
AI SDKs (Tanstack AI SDK, Vercel AI SDK)
Data Science
Data Science: Python, NumPy, Pandas, Matplotlib, Seaborn.
Frontend & Full-Stack
React.js, Solid.js, Vue.js, TypeScript, UX design, Next.js, Nuxt, Tanstack Start, Tanstack Query, Shadcn/UI, React Hook Form, Tanstack Form, Tanstack Table Prisma, Zustand, Zod, Vuex, Pinia, Tailwind CSS and its modern libraries.
Backend & Server-Side
Motia, with Python & Typescript, Node.js, Express.js, Clerk, Auth0, JWT, Firebase Authentication, Prisma.
Communication & Media Services
Mailersend, Postmark, SendGrid, Cloudinary, Twilio.
DevOps & Deployment
Vercel, Netlify, Cloudflare, Heroku, Digital Ocean, Docker.
Database, Serverless DB
PostgreSQL, MySQL, MongoDB, Neon, Supabase.
Version Control
Git, GitHub, GitLab.