{ What I do? }
I love to code for contract based projects and help companies expand their businesses.🤜🤛
My tech expertise are as follows:
Frontend Engineering
⚡ Developing responsive single-page and server-rendered web applications using React.js, Next.js, Vue 3 and Astro.
⚡ Managing application state with Redux, Redux Saga, Pinia and React Context.
⚡ Building reusable, modular component libraries with Tailwind CSS, ShadCN, Material-UI and Bootstrap, working from Figma designs.
⚡ Writing type-safe frontends in TypeScript, with an eye on accessibility, responsiveness and performance across devices.
⚡ Working with internationalisation (i18n), embeddable widgets and third-party frontend integrations.
Backend Engineering & APIs
⚡ Designing and building RESTful APIs, services and microservices with Node.js, Express.js, NestJS and Fastify.
⚡ Working with both relational and document databases — PostgreSQL, MySQL, MongoDB and DynamoDB — through ORMs and ODMs like Prisma, Sequelize and Mongoose.
⚡ Implementing authentication and authorization using JWT, OAuth, OTP verification and role-based access control.
⚡ Using Redis for caching and session management, and designing schemas and migrations for evolving data models.
⚡ Integrating third-party APIs and webhooks, and building notification pipelines over email and SMS.
Cloud, DevOps & Infrastructure
⚡ Building and deploying on AWS — Lambda, DynamoDB, S3, CloudFront, ECS Fargate and EC2 — with infrastructure defined as code using the AWS CDK.
⚡ Containerising applications with Docker, and configuring Nginx and Caddy as reverse proxies.
⚡ Automating testing, builds and deployments through CI/CD pipelines on GitHub Actions, GitLab CI/CD and Jenkins.
⚡ Writing unit and end-to-end tests with Jest and Playwright to keep codebases reliable as they grow.
⚡ Working across GCP, Azure and Firebase alongside AWS, and collaborating through Git and Jira.
AI & Agentic Engineering
⚡ Building AI-powered products and agentic workflows with LLMs from Anthropic (Claude), OpenAI and others.
⚡ Working with the Model Context Protocol (MCP) to expose tools and data to coding agents and AI clients.
⚡ Integrating retrieval over documents, websites and databases, with human review and guardrails around model output.
⚡ Automating content and page generation pipelines, from model output through build and deployment.
⚡ Writing agent tooling, skills and prompts that stay version-controlled and reproducible.