I'm Ramesh Das, a developer with 6.6+ years of experience. I build AI apps, RAG systems, AI agents, Automation, API, and SaaS tools using Python, FastAPI, Node.js, Express.js React.js, and Next.js. My clients are startups and teams who need real AI products, not just demos.

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6.6+

Years Experience

10+

AI Projects Delivered

Production AI Agents

Client Success Stories

About Me

AI Full-Stack Developer

Backned LLM, RAG & AI Agent Developer

AI Full-Stack DeveloperAI Agent DeveloperAI SaaS DeveloperPython Backend DeveloperFastAPI DeveloperNode.js Backend DeveloperNext.js DeveloperDevOps Engineer

I cover the full product — AI logic, APIs, databases, user interfaces, billing, deployment, and monitoring. Most clients work with me from the early planning stage all the way to the live release.

I care about AI that actually works for the people using it. That means chatbots with good answers, search that finds the right documents, agents that stay on task, and SaaS tools that don't break under load. I keep an eye on cost, security, and code that your team can later read and change.

6.6+

Years Experience

10+

AI Projects Delivered

Production AI Agents

Client Success Stories

AI Agents & Workflows

I build full stack AI agents that use tools, follow defined steps, request approval when needed, and keep track of state. Common tools include LangGraph, CrewAI, AutoGen, and custom Python workflows.

RAG & Knowledge Search

I build RAG systems for document search and question answering, including ingestion, chunking, embeddings, hybrid retrieval, reranking, citations, and evaluation.

Core Expertise

What I Build

What I build day to day: AI features, backend APIs, React and Next.js interfaces, and full stack SaaS products.

AI Agents & Workflows

I build full stack AI agents that use tools, follow defined steps, request approval when needed, and keep track of state. Common tools include LangGraph, CrewAI, AutoGen, and custom Python workflows.

RAG & Knowledge Search

I build RAG systems for document search and question answering, including ingestion, chunking, embeddings, hybrid retrieval, reranking, citations, and evaluation.

AI SaaS Products

I build AI SaaS products from product planning through release: accounts, billing, tenant isolation, AI features, APIs, dashboards, cloud deployment, and monitoring.

React & Next.js Apps

I build accessible React and Next.js interfaces for AI products, dashboards, internal tools, and marketing sites. I use TypeScript, Tailwind CSS, server rendering, and practical state management.

Backend & API Development

I build Python and Node.js services with FastAPI, Django, NestJS, REST, GraphQL, authentication, PostgreSQL, Redis, background jobs, and API documentation.

Why Work With Me?

One Engineer, Full Product Delivery Guarantee

I can build the AI features, APIs, database, frontend, backend, deployment, and monitoring. That reduces handoffs and keeps product decisions connected.

Built for Production

I include testing, error handling, logging, monitoring, security checks, and documentation. The goal is software your team can run and extend.

Business Goals First

I start with the problem, users, budget, and success measures. Then I choose the smallest technical approach that can meet the goal.

Clear Communication

You get direct updates, working demos, and plain-language explanations. I flag tradeoffs early so there are no surprises late in the project.

Technology Stack

Tools & Technologies

Tools and technologies I work with regularly — from LLM frameworks and vector databases to React, Next.js, and cloud deployment.

AI & Generative AI

OpenAI APIGPT-4oGPT-4ClaudeGeminiDeepSeekHugging FaceLLM Fine-tuningPrompt EngineeringAI Model IntegrationMultimodal AIText-to-ImageSpeech-to-TextAI VisionWhisper API

LLM Frameworks & Orchestration

LangChainLlamaIndexLangGraphCrewAIAutoGenSemantic KernelvLLMOllamaFunction CallingTool CallingLLM StreamingLLM CachingStructured OutputReasoning Workflows

Agentic AI & Autonomous Systems

AI AgentsMulti-Agent SystemsReAct PatternPlan-and-ExecuteWorkflow AutomationHuman-in-the-LoopAgent OrchestrationAutonomous WorkflowsAI Task PlanningTool Use AgentsMemory SystemsAgent State Management

RAG & Vector Search

Retrieval-Augmented GenerationRAG PipelinesAdvanced RAGHybrid SearchPineconeWeaviateQdrantChromaDBpgvectorEmbeddingsOpenAI EmbeddingsSemantic SearchDocument IntelligenceKnowledge BasesDocument ChunkingRe-ranking

Python Backend Development

Python 3.xFastAPIDjangoDjango REST FrameworkFlaskCeleryAsyncioPydanticSQLAlchemyAlembicPytestPython Type HintsBackground TasksWebSocketsServer-Sent Events

Node.js Backend Development

Node.jsNestJSExpress.jsFastifyTypeScript BackendtRPCPrisma ORMTypeORMZod ValidationBull QueueNode.js StreamsWebSockets (ws)JWT AuthPassport.js

API Design & Architecture

REST API DesignGraphQLApollo ServergRPCOpenAPI / SwaggerAPI VersioningRate LimitingAPI GatewayWebhook DesignOAuth 2.0JWTAPI SecurityCORSAPI Documentation

Microservices & Distributed Systems

Microservices ArchitectureService DecompositionEvent-Driven ArchitectureMessage QueuesRabbitMQKafkagRPC Inter-ServiceService DiscoveryAPI Gateway PatternCQRSEvent SourcingDistributed TracingCircuit BreakerLoad BalancingHealth Checks12-Factor App

React & Frontend Development

React 18React HooksReact ContextRedux ToolkitZustandReact Query / TanStack QueryReact RouterReact Server ComponentsCustom HooksCode SplittingLazy LoadingPerformance OptimizationAccessibility (a11y)

Next.js & Full-Stack Frontend

Next.js 14/15App RouterPages RouterServer ComponentsServer ActionsStatic Site GenerationIncremental Static RegenerationServer-Side RenderingAPI RoutesMiddlewareNext.js AuthImage OptimizationEdge Runtime

UI & Styling

TypeScriptJavaScript (ES2024)TailwindCSSShadcn/uiRadix UIFramer MotionCSS ModulesResponsive DesignDark ModeDesign SystemsStorybookFigma-to-Code

Databases & Storage

PostgreSQLMySQLMongoDBRedisPrismaSQLAlchemyDatabase Schema DesignQuery OptimizationIndexingDatabase MigrationsConnection PoolingRead ReplicasTransactionsSupabasePlanetScale

Vector Databases

PineconeWeaviateQdrantChromaDBpgvectorMilvusFAISSVector IndexingANN SearchEmbedding StorageMetadata FilteringNamespaces & Collections

Cloud & Infrastructure

AWS (EC2, S3, RDS, Lambda, ECS)Google Cloud PlatformVercelRailwayDigitalOceanDockerDocker ComposeKubernetes (K8s)NginxReverse ProxySSL/TLSCDN

DevOps & CI/CD

GitHub ActionsCI/CD PipelinesDocker HubAutomated TestingBlue-Green DeploymentRolling UpdatesEnvironment ManagementSecrets ManagementPrometheusGrafanaLog AggregationError Tracking (Sentry)LLMOps

Auth, Payments & Integrations

StripePayPalStripe WebhooksNextAuth.jsAuth.jsClerkSupabase AuthOAuth 2.0JWTRBACMulti-tenancyResendSendGridTwilioZapier / Make

Automation & Workflow Tools

ZapierMake (Integromat)n8nActivepiecesPipedreamCeleryAPSchedulerCron JobsGitHub Actions WorkflowsWebhook AutomationEvent-Driven TriggersTask QueuesBull / BullMQRedis QueuesBackground WorkersScheduled JobsEmail AutomationSlack IntegrationsNotion APIGoogle Sheets API

Trusted Technologies

OpenAI LangChain Python FastAPI Node.js Next.js React TypeScript PostgreSQL Redis Kafka Docker Kubernetes AWS

Experience

Career Timeline

I've worked with remote teams and individual clients since 2019, building Full Stack AI products, backend services, and web apps.

Jan 2023 — Present

Lead AI Full-Stack Developer

KLIKY AIRemote

I lead the development of WinstaAI, an AI SaaS platform that now serves over 1,000 users. I work across LLM workflows, RAG pipelines, agent systems, Next.js interfaces, FastAPI services, and PostgreSQL. Over time I've cut operating costs and improved answer quality and system reliability.

Jan 2021 — Present

AI & Full-Stack Development Consultant

Freelance / IndependentRemote | Global Clients

I build custom AI applications for startups and small teams. Projects I've shipped include support chatbots, document search tools, data extraction pipelines, and LLM integrations. I usually work in Python, FastAPI, Next.js, React, LangChain, OpenAI, and AWS.

Jun 2018 — Dec 2022

Senior Full-Stack Developer

Tech Startups & AgenciesRemote

Built web apps used by 100,000+ people. I worked on REST APIs, database performance, authentication systems, and third-party integrations. I collaborated closely with product, design, and engineering teams and shipped regularly under deadlines.

Portfolio

Featured Projects

Real products live in production — AI SaaS platforms, campaign automation, e-commerce, and full-stack web apps.

Live ProductionCash Prize CompetitionsAI Trend Templates

Winsta — Competitions & AI Trends Platform

Full-stack social platform where users compete for cash prizes, create content from viral AI-generated templates, and run targeted ad campaigns. Features a real-time leaderboard, daily challenge engine, reward point system, AI image/video trend discovery, and a business ads manager with audience targeting and live analytics.

Next.jsNode.jsPostgreSQLRedisAWSDocker

View Project

Live ProductionAI Campaign GenerationMeta + TikTok Publishing

Sarah AI — Autonomous Campaign Copilot

Enterprise AI marketing platform that automates the full paid media workflow. Sarah AI generates audience profiles, ad copy, creative briefs, and budget allocations from a product prompt, then routes campaigns through an owner-approval guardrail before publishing directly to Meta Ads and TikTok Marketing APIs. Includes influencer discovery with niche-alignment scoring across Indonesia and the Philippines.

Next.jsFastAPIOpenAILangChainMeta Ads APITikTok APIPostgreSQLRedis

View Project

Live ProductionMulti-platform SchedulingAutomated Cross-posting

SMT — Winsta Social Media Tool

Internal social media management and automation tool powering the Winsta ecosystem. Handles multi-platform scheduling, cross-posting workflows, content queuing, and engagement automation to keep brand accounts consistently active without manual intervention.

Node.jsNext.jsPostgreSQLRedisDocker

View Project

Live ProductionMulti-source AggregationUnified API Layer

MultiDataHub — Data & Analytics Platform

Production data aggregation and analytics platform that centralises data from multiple sources into a single queryable hub. Built for teams that need reliable data pipelines, structured reporting, and a clean API layer over diverse data stores.

Node.jsFastAPIPostgreSQLRedisDockerAWS

View Project

Live ProductionCustom Garment ConfiguratorPerfect Fit Guarantee

KhanTailor — Bespoke Tailoring E-Commerce

Made-to-measure tailoring platform for a Hong Kong bespoke suit brand. Customers design custom garments, select from thousands of premium Woolmark-certified fabrics, save measurements, and order online or book in-store showroom appointments. Includes a product configurator, pricing engine, booking system, newsletter integration, and worldwide shipping management.

Next.jsNode.jsPostgreSQLStripeAWS S3Docker

View Project

Live ProductionSEO OptimisedCMS-driven Content

rameshdas.dev — AI Developer Portfolio

Personal portfolio and professional website built with Next.js, fully managed through a CMS-style data layer. Showcases AI projects, services, experience, and open-source work. Optimised for SEO with structured data, canonical URLs, Open Graph, and server-side rendering. This site itself is the project.

Next.jsTypeScriptTailwind CSSPrismaPostgreSQLDocker

View Project

Open Source Contributions

MIT License

Next.js Full-Stack Starter

Production-ready Next.js 15 + React 19 frontend with multi-token JWT auth, RBAC, real-time WebSocket dashboard, i18n (English/Arabic RTL), media management, activity logging, and shadcn/ui. Free starter to accelerate any full-stack project.

View on GitHub

MIT License

Node.js Backend with SQL

Enterprise-grade Express.js REST API with Instagram-style multi-token JWT auth, RBAC, Prisma ORM, Redis caching, Google Cloud Storage, Twilio OTP, Swagger docs, Nginx, and Docker. Supports PostgreSQL, MySQL, MongoDB, and more via Prisma.

View on GitHub

MIT License

FastAPI Backend with SQL

Production-ready Python REST API built with FastAPI, SQLAlchemy 2.0, Alembic, multi-token JWT, RBAC, Redis, Sentry error tracking, Google Cloud Storage, Kubernetes configs, and Nginx. Async-first and fully Dockerised.

View on GitHub

Services

AI Development Services

I work with product teams on AI features, RAG search, agent systems, backend APIs, and full-stack web apps.

Generative AI & LLM Development

Build AI applications with OpenAI, Claude, DeepSeek, Gemini, or open-source models. Work includes prompts, evaluations, structured output, tools, streaming, and model cost control.

✓Custom AI chatbots and assistants
✓Document intelligence and extraction
✓AI content generation platforms
✓LLM orchestration with LangChain / LlamaIndex
✓Prompt engineering and structured output
✓LLM cost and performance optimization

AI Agents & Agent Systems

Build AI agents for multi-step work, tool use, approvals, scheduling, and workflow automation with CrewAI, LangGraph, AutoGen, and Python.

✓Single and multi-agent system design
✓Tool-calling and function execution
✓ReAct and plan-and-execute patterns
✓Human-in-the-loop approval workflows
✓Agent memory and state management
✓Workflow automation and scheduling

RAG & Knowledge Systems

Build RAG systems that answer from your documents with retrieval, citations, access control, evaluation, and monitoring.

✓Document ingestion and chunking pipelines
✓Vector database setup (Pinecone, Weaviate, Qdrant)
✓Semantic and hybrid search
✓Source citation and answer grounding
✓Advanced RAG with re-ranking
✓Enterprise knowledge base integration

Backend API Development

Build secure REST and GraphQL APIs with FastAPI, Django, NestJS, and Express, including authentication, tests, and OpenAPI documentation.

✓REST API design and implementation
✓GraphQL API with Apollo Server
✓FastAPI and Django REST Framework
✓NestJS and Express.js backends
✓JWT / OAuth2 authentication
✓OpenAPI / Swagger documentation

Microservices Architecture

Design or split services using event-driven messaging, Kafka, RabbitMQ, gRPC, API gateways, tracing, and resilience patterns.

✓Service decomposition and domain modeling
✓Event-driven architecture with Kafka / RabbitMQ
✓gRPC inter-service communication
✓API Gateway and service discovery
✓CQRS and event sourcing patterns
✓Circuit breaker and resilience patterns

React & Next.js Frontend Development

Build fast, accessible React and Next.js frontends for AI products, SaaS dashboards, internal tools, and marketing websites.

✓Next.js App Router and Server Components
✓React 18 with hooks and state management
✓TypeScript-first development
✓TailwindCSS and Shadcn/ui design systems
✓Server-side rendering and static generation
✓Performance optimization and Core Web Vitals

AI SaaS Platform Development

Build AI SaaS products with user accounts, tenant isolation, subscriptions, billing, AI features, dashboards, APIs, and cloud deployment.

✓End-to-end SaaS architecture
✓Stripe subscription and billing integration
✓Multi-tenant data isolation
✓User authentication and RBAC
✓AI feature integration (chat, search, generation)
✓Cloud deployment and auto-scaling

Technical Consulting & Code Audits

Review AI applications, LLM use, backend architecture, APIs, database queries, security, and cloud costs. You receive a prioritized action plan.

✓AI system architecture review
✓Backend and API performance audit
✓LLM cost and quality optimization
✓Database schema and query analysis
✓Security and compliance review
✓Prioritized improvement roadmap

Development Process

From discovery to deployment, here's how I work with clients to deliver exceptional results.

01. Discovery & Planning

We define the user problem, data sources, technical constraints, success measures, scope, and delivery plan.

02. Architecture & Design

I plan the application, model strategy, retrieval layer, APIs, database, security, deployment, and monitoring.

03. Development & Testing

I build in short iterations with demos, test coverage, evaluation cases, and clear progress updates.

04. Deployment & Support

I release the application, set up monitoring and documentation, and can provide ongoing development support.

Testimonials

What Clients Say

Real feedback from real clients who've worked with me.

"Ramesh built Sarah AI from the ground up — audience targeting, ad copy generation, Meta and TikTok publishing, and the approval workflow. He understood the product deeply and shipped fast without cutting corners."

Sarah AI — Campaign Copilot

Winsta Team

Product Lead

"The competition engine, reward system, and AI trend discovery on Winsta are all Ramesh's work. The platform is reliable and the codebase is clean enough for our team to extend on our own."

Winsta Platform

Winsta Team

Engineering Lead

"Our tailoring website needed a custom garment configurator, fabric browser, measurement flow, and booking system. Ramesh delivered all of it — it looks great and converts well."

KhanTailor E-Commerce

KhanTailor Team

Operations Director

"Ramesh unified our data pipelines into a single hub with a clean API layer. What used to require manual aggregation now runs automatically. The difference is immediately visible in our reporting."

MultiDataHub Platform

MultiDataHub Team

Head of Data

"We needed the social media automation tooling behind Winsta to be bulletproof. Ramesh built the scheduling, cross-posting, and queue system in a way that just works. No surprises, no downtime."

Winsta SMT

Winsta Team

Growth Manager

"The open-source starters saved our team weeks of setup. The Node.js and FastAPI backends have real production patterns baked in — auth, RBAC, Redis, Docker — not the usual toy boilerplates."

fullstack-open-source

Open Source Community

Full-Stack Developer

FAQ

Frequently Asked Questions

Everything you need to know about working with me.

What is your main area of work?

I build AI applications — chatbots, document search tools, AI agents, and SaaS products. I work in Python, FastAPI, React, and Next.js, and I can carry a project from the first conversation to a live, working app.

Can you add AI features to my existing app?

Yes, that's something I do a lot. I can add a chatbot, document search, data extraction, or other LLM features to what you already have. I'll work within your existing stack rather than asking you to rewrite everything.

Which AI models and tools do you use?

I've used OpenAI, Anthropic Claude, Google Gemini, DeepSeek, and open-source models from Hugging Face. For orchestration I work with LangChain, LlamaIndex, LangGraph, and CrewAI. For vector storage I use Pinecone, Weaviate, Qdrant, and ChromaDB.

Can you build AI agents?

Yes. I build agents that use tools, follow multi-step plans, and hand off to a human when needed. I've built them for customer support, data processing, operations tasks, and reporting workflows.

What is RAG and do you build RAG systems?

RAG stands for Retrieval-Augmented Generation. Instead of relying on what the model already knows, it finds relevant text from your own documents and uses that to answer. I build full RAG pipelines — from document ingestion and chunking to vector search, reranking, and cited answers.

How do you run a project?

I start by understanding the problem, who uses the product, what data is available, and what success looks like. Then I put together a plan, build in small steps, share working demos along the way, test thoroughly, and deploy. After launch I stay available for support.

How do you price your work?

It depends on the project. For well-defined work I prefer a fixed price so there are no surprises. For open-ended or exploratory work, hourly or a monthly retainer usually works better. We can talk through what makes sense for your situation.

How long does it take to build an AI app?

A simple chatbot usually takes 2 to 3 weeks. A RAG system with document ingestion and search is typically 4 to 6 weeks. A full SaaS product with multiple AI features can take 2 to 3 months. It really depends on the scope and how clear the requirements are at the start.

Do you offer ongoing support after launch?

Yes. I can stay involved after launch for bug fixes, new features, model tuning, cost reviews, and security or performance work. A lot of my clients start with a project and then move to a monthly retainer.

Why hire you instead of another developer?

Most AI developers are strong in either the AI side or the product side. I cover both. I can build the AI layer, the backend, and the frontend — which means fewer handoffs and a product that actually holds together. I also care about whether the end user finds it useful, not just whether the code runs.

Build Your AI Product & Services

Tell me what you want to build, improve, or automate. We'll discuss the best practical path for your project.

Schedule a Free Consultation View AI Projects