I'm a backend-focused developer building intelligent systems using TypeScript, Python, and Generative AI tools. I'm currently a student, self-taught, and laser-focused on becoming a high-quality backend + AI integration engineer for real-world systems.
- Languages: TypeScript, JavaScript,
- Backend: Node.js, Express, REST API design, User Authentication and Authorization (with JWT and cookies), Input Validation (using Zod), Server-side Logging (with Winston)
- Database: PostgreSQL, Prisma ORM, schema design, relational modeling
- Frontend (Basic): React, Tailwindcss
- Tools & Workflow: Git, GitHub, Postman, VS Code, Docker and Docker Compose (dev environments), WSL (Ubuntu)
- Fundamentals: HTTP, JSON, MVC pattern, Containerization, Environment Configuration
- Python for GenAI & Microservices: FastAPI, Pydantic, requests, microservice orchestration.
- LLM Workflows: LangChain, prompt chaining, vector DBs (FAISS/Chroma), embedding pipelines.
- Computer Science: Discrete Mathematics, System Design, Design Patterns, Data Structures
- Databases: Advanced SQL Concepts (indexes, optimization, transactions)
- Security: Web security best practices (auth, validation, sanitization)
- Testing: Unit, integration, and API testing workflows
- DevOps: Docker (production readiness), CI/CD basics, Advanced Linux concepts
- Real-Time Systems: WebSockets, Socket.IO, Event-Driven Architecture
- Caching: Redis
To become a Backend + GenAI Integration Engineer, specializing in building intelligent APIs and scalable AI infrastructure using TypeScript and Python.
I aim to work with remote, high-growth startups (US, EU, or AU), or contribute to open source GenAI tooling (LangChain, vector DBs, orchestration frameworks).
I'm committed to production-grade engineering, clean system architecture, and shipping real-world, AI-powered backend solutions.
I'm committed to real engineering practices. If you're working on GenAI, backend infrastructure, or want to build AI-integrated systems, feel free to connect or collaborate.