Full Stack Developer & AWS
As a dedicated Full Stack Engineer, I have built scalable and good-looking web applications. I do systems design and create robust infrastructures with no downtime and smooth end-to-end functionality. With hands-on experience across both frontend and backend development, I have successfully delivered multiple freelance projects as you can see in my projects section.
Frontend: React, Next.js, TailwindCSS, ShadCN UI, Framer Motion, Recoil, GSAP, React Hook Form, NextAuth, Amplify UI
Backend: Node.js, Express.js, AWS Lambda, API Gateway, Firebase, Serverless Architecture, REST APIs, Webhooks
AWS: Lambda, API Gateway, DynamoDB, S3, RDS, CloudFront, Route 53, CloudWatch, IAM, Secrets Manager, SQS, SNS, KMS, Amplify, Cognito
AI & RAG Systems: AWS Bedrock, Vector Databases, RAG Pipelines, Embedding Models, STT/TTS Pipelines
Databases: DynamoDB, PostgreSQL, MySQL, MongoDB, Firestore
Auth & Security: Cognito, NextAuth, JWT, OAuth2, IAM Roles & Policies, HTTPS, CORS
Deployment & DevOps: AWS Amplify, Vercel, Serverless Framework, CI/CD Pipelines
Tools & Other: Git, Figma, Postman, Zod, WebSockets, Real-time Systems
A modular AI chatbot platform using AWS Bedrock, Next.js, a custom RAG workflow, prompt management, and S3-based vector storage. Replaced OpenSearch with S3 VectorDB to cut costs by nearly 90%. The frontend delivers a real-time chat interface built with Next.js and Tailwind CSS, deployed via AWS Amplify with a custom Cognito authentication flow.

An OTT platform powered by a cloud-optimized backend using AWS VOD Foundation, Cognito, CloudFront, and Next.js. The SPA frontend is built with Next.js, Tailwind CSS, and Acternity UI. The system automates video upload, transcoding, and delivery through S3, MediaConvert, and Lambda, providing fast, low-latency streaming through global CDN distribution.

A skin disease analysis and prediction system built using machine learning models and a robust Django backend. Implements ensemble techniques including Random Forest, Gradient Boosting, AdaBoost, and SVM for accurate classification. Integrated with AWS Bedrock to enhance diagnostic support through LLM-driven insights.

Portfolio website for rudramx org. Built using Next.js and Tailwind CSS, deployed on Vercel. Responsive design with smooth animations and dark mode support.

A highly responsive single-page web application built using React.js. The interface was developed by translating client-provided Figma designs into precise, pixel-perfect UI components. The SPA maintains full responsiveness, ensuring seamless user experience across all screen sizes and devices.

Full Stack Developer & AWS
As a dedicated Full Stack Engineer, I have built scalable and good-looking web applications. I do systems design and create robust infrastructures with no downtime and smooth end-to-end functionality. With hands-on experience across both frontend and backend development, I have successfully delivered multiple freelance projects as you can see in my projects section.
Frontend: React, Next.js, TailwindCSS, ShadCN UI, Framer Motion, Recoil, GSAP, React Hook Form, NextAuth, Amplify UI
Backend: Node.js, Express.js, AWS Lambda, API Gateway, Firebase, Serverless Architecture, REST APIs, Webhooks
AWS: Lambda, API Gateway, DynamoDB, S3, RDS, CloudFront, Route 53, CloudWatch, IAM, Secrets Manager, SQS, SNS, KMS, Amplify, Cognito
AI & RAG Systems: AWS Bedrock, Vector Databases, RAG Pipelines, Embedding Models, STT/TTS Pipelines
Databases: DynamoDB, PostgreSQL, MySQL, MongoDB, Firestore
Auth & Security: Cognito, NextAuth, JWT, OAuth2, IAM Roles & Policies, HTTPS, CORS
Deployment & DevOps: AWS Amplify, Vercel, Serverless Framework, CI/CD Pipelines
Tools & Other: Git, Figma, Postman, Zod, WebSockets, Real-time Systems
A modular AI chatbot platform using AWS Bedrock, Next.js, a custom RAG workflow, prompt management, and S3-based vector storage. Replaced OpenSearch with S3 VectorDB to cut costs by nearly 90%. The frontend delivers a real-time chat interface built with Next.js and Tailwind CSS, deployed via AWS Amplify with a custom Cognito authentication flow.

An OTT platform powered by a cloud-optimized backend using AWS VOD Foundation, Cognito, CloudFront, and Next.js. The SPA frontend is built with Next.js, Tailwind CSS, and Acternity UI. The system automates video upload, transcoding, and delivery through S3, MediaConvert, and Lambda, providing fast, low-latency streaming through global CDN distribution.

A skin disease analysis and prediction system built using machine learning models and a robust Django backend. Implements ensemble techniques including Random Forest, Gradient Boosting, AdaBoost, and SVM for accurate classification. Integrated with AWS Bedrock to enhance diagnostic support through LLM-driven insights.

Portfolio website for rudramx org. Built using Next.js and Tailwind CSS, deployed on Vercel. Responsive design with smooth animations and dark mode support.

A highly responsive single-page web application built using React.js. The interface was developed by translating client-provided Figma designs into precise, pixel-perfect UI components. The SPA maintains full responsiveness, ensuring seamless user experience across all screen sizes and devices.
