You will get an AI/ML Engineer for AI Agents & Full-Stack AWS Development
Top Rated

Top Rated

Project details
Get a production-ready AI/ML Full-Stack application designed around your specific business requirements. I can build AI/ML solutions, AI agents, RAG workflows, REST APIs, database-driven features, authentication, third-party integrations, and responsive Full-Stack interfaces. The application can be deployed on AWS with scalable infrastructure, secure configurations, performance optimization, testing, and production-ready architecture.
Whether you need an AI agent, SaaS application, automation workflow, API-driven platform, or a custom AI/ML solution, I can handle the development from architecture through deployment and handover.
Note: Every client has different requirements and project complexity. The final scope, timeline, features, and pricing will be discussed and agreed upon after a brief conversation. The package price is only an initial reference and may change based on your exact requirements.
Whether you need an AI agent, SaaS application, automation workflow, API-driven platform, or a custom AI/ML solution, I can handle the development from architecture through deployment and handover.
Note: Every client has different requirements and project complexity. The final scope, timeline, features, and pricing will be discussed and agreed upon after a brief conversation. The package price is only an initial reference and may change based on your exact requirements.
Programming Languages
JavaScript, Python, ASP.NETCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$99
|
Standard
$299
|
Advanced
$699
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 3 | 6 | 10 |
Design Customization | |||
Content Upload | |||
Responsive Design | - | ||
Source Code | - | - |
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JC
Jonathan C.
May 3, 2026
AI Developer Needed to Build a Small Intelligent Application (MVP)
Ghawk Technologies has been a pleasure to work with!
AP
Abhishek P.
Dec 23, 2025
AI/ML expert
Nice working with the Ghawk team.
CW
Cloud W.
Oct 8, 2025
AWS Lambda & Node.js Developer
About Vinayak
AI/ML Engineer | Full-Stack, AI Agents, n8n & RAG, Claude, Python, AWS
100%
Job Success
Noida, India - 10:29 pm local time
I’m an AI/ML Engineer and Full-Stack Developer with 8+ years of experience building production applications, SaaS platforms, AI solutions and cloud infrastructure. My primary focus is combining AI/ML engineering, Full-Stack development and AWS to build reliable, scalable products.
As an AI/ML Engineer, I work with Python, machine learning, LLMs, RAG, AI agents, OpenAI, Claude, AWS Bedrock and LangChain. I design AI/ML solutions that integrate naturally into production applications rather than treating AI as an isolated feature.
As a Full-Stack Developer, I build complete products using React, Next.js, TypeScript, Node.js, Python, FastAPI, PostgreSQL, MongoDB, Redis and Supabase. My Full-Stack experience covers frontend architecture, backend development, APIs, databases, authentication, dashboards, integrations, background jobs and scalable SaaS platforms.
My AWS experience covers application architecture, deployment and cloud infrastructure using EC2, ECS, Lambda, RDS, S3, API Gateway, CloudFront, Cognito and CloudWatch. I use AWS services according to the actual application requirements, with Docker, Terraform, GitHub Actions and CI/CD where appropriate.
AI/ML Engineering
• AI/ML applications and intelligent SaaS platforms
• RAG pipelines and AI knowledge systems
• AI agents and automated workflows
• OpenAI and Claude integrations
• AWS Bedrock implementations
• Document intelligence systems
• Conversational AI
• Voice-to-voice and text-to-text AI
• AI-powered business automation
I focus on practical AI/ML engineering, including API integration, data processing, orchestration, evaluation and production deployment.
Full-Stack Development
• React and Next.js applications
• Node.js and Python backends
• TypeScript development
• REST APIs and third-party integrations
• PostgreSQL, MongoDB, Redis and Supabase
• Authentication and role-based access
• Multi-tenant SaaS platforms
• Dashboards and admin systems
• Background jobs and queues
• File storage and notifications
• Subscription and payment workflows
I approach Full-Stack development from the perspective of the complete product, making sure the frontend, backend, database and APIs work together cleanly.
AWS Development & Cloud
• AWS EC2
• AWS ECS
• AWS Lambda
• AWS RDS
• AWS S3
• AWS API Gateway
• AWS CloudFront
• AWS Cognito
• AWS CloudWatch
• Docker
• Terraform
• GitHub Actions
• CI/CD pipelines
My AWS experience includes designing cloud architecture around scalability, reliability, security and long-term maintenance.
Why Clients Work With Me
• 8+ years of software development experience
• Experienced AI/ML Engineer
• Strong Full-Stack development experience
• Strong AWS development and cloud experience
• Production-focused architecture
• Clean and maintainable code
• Clear communication and regular progress updates
• End-to-end product ownership
• Top Rated Plus
• 100% Job Success
• AWS Certified Developer - Associate
• AWS Certified AI Practitioner
• Azure AI Engineer Associate
• Azure Developer Associate
Whether you need an AI/ML Engineer to develop an intelligent feature, a Full-Stack developer to build an entire SaaS product, or an engineer experienced with AWS to take your application into production, I can handle the technical implementation from architecture through deployment.
AI/ML + Full-Stack + AWS is the core combination I bring to every project.
If you’re looking for an AI/ML Engineer who can handle Full-Stack development and AWS end-to-end, let’s have a quick call to discuss your requirements, architecture and how I can contribute.
Steps for completing your project
After purchasing the project, send requirements so Vinayak can start the project.
Delivery time starts when Vinayak receives requirements from you.
Vinayak works on your project following the steps below.
Revisions may occur after the delivery date.
Planning
Define requirements, architecture, AI/ML workflow, APIs, database, and AWS infrastructure.
Development
Build the AI agents, Full-Stack application, integrations, and deploy the solution on AWS.