Banner Image

Skills

  • Node.js
  • API Development
  • App & Mobile Development
  • App Development
  • Data Management
  • Data Processing
  • Design
  • EC2
  • Express.js
  • GIS Development
  • JavaScript
  • Leaflet
  • PostgreSQL
  • Responsive Web Design
  • S3

Sign up or Log in to see more.

Services

  • Full Stack Developer | Node.js, React.js

    $20/hr Starting at $50 Ongoing

    Dedicated Resource

    My expertise includes: ✅ Full REST API development with Node.js / Express.js, Django, Fastapi ✅ Frontend development using React.js, Next.js, and modern UI frameworks ✅ Database design, modeling, and...

    API DevelopmentApp & Mobile DevelopmentApp DevelopmentData ManagementData Processing

About

Full Stack Developer | Web | Mobile | AI

Hi, welcome to my services:

1. Frontend Services:
- JavaScript Frameworks: Skilled in React.js, Angular, and Vue.js for building dynamic user interfaces.
- HTML/CSS: Crafting responsive and accessible web designs.
- TypeScript: Enhancing JavaScript applications with type safety and scalability.

2. Backend Services:
- Node.js: Designing scalable microservices architectures and implementing REST APIs.
- Python: Developing robust backend solutions with a focus on performance and security.
- Java: Building enterprise-level applications with Spring Boot.
- Ruby on Rails: Creating efficient web applications with a focus on simplicity and productivity.

3. Databases:
- SQL: Proficient in PostgreSQL for complex queries and data integrity.
- NoSQL: Expertise in MongoDB and Redis for flexible and high-performance data storage.

4. Cloud and Infrastructure:
- AWS: Managing cloud infrastructure using AWS Lambda, ECS, S3, and RDS.
- Docker: Containerizing applications for consistent environments across development and production.
- Kubernetes: Orchestrating containerized applications for scalability and resilience.

5. DevOps and CI/CD:
- CI/CD Pipelines: Implementing robust pipelines using Jenkins, GitHub Actions, and GitLab CI.
- Infrastructure as Code: Leveraging tools like Terraform and AWS CloudFormation for automated infrastructure management.

6. AI Services:
- Machine Learning: Building predictive models using Python libraries like TensorFlow, PyTorch, and scikit-learn.
- Natural Language Processing (NLP): Developing applications for text analysis, sentiment analysis, and chatbots.
- Computer Vision: Implementing image recognition and processing solutions using OpenCV and deep learning frameworks.
- AI Model Deployment: Deploying AI models using cloud services and containerization for scalable inference.