AI development services for modern applications.
Build AI-powered applications that combine modern AI models with reliable software architecture, APIs, databases and user experiences.
- 5+ yearsProfessional experience
- 40k+Users across shipped projects
- DirectDeveloper communication
5+ yrs
building AI applications
Earned through freelance work
Active users across projects
GitHub contributions
Professional experience
Production apps shipped & maintained
Services
AI development services
AI development covers a wider range of problems than most people expect walking in — a single LLM call bolted onto a form, a RAG system that answers questions from your own documents, a multi-step agent that takes actions on your behalf, or a full AI SaaS product with billing and dashboards built around a model. Not sure which of those your project actually is? That's exactly what this page is for. I build complete applications around AI models — frontend, backend, data layer and the AI workflow itself — using Gemini and OpenAI for the model layer, and Qdrant or ChromaDB when a project needs retrieval over your own data instead of just the model's training data. The six services below cover the landscape; if what you actually need is a tool-calling, multi-step agent rather than a single AI feature, building an AI agent goes deep on that specific problem. And if you already know you're building a subscription product around AI, SaaS MVP development covers the non-AI product side of that build.
Generative AI Development
Wire Gemini or OpenAI into your product to generate, analyze, summarize or transform content on demand — with structured outputs your application can parse and act on, not just raw text in a chat window.
AI Application Development
A full application built around the model — frontend, backend, database, auth and deployment — not a single API call patched into an existing page. That's the difference between an AI feature and an AI product.
RAG Development
Connect an LLM to your private documents, databases or knowledge base using embeddings and a vector database like Qdrant or ChromaDB, so answers come from your actual data instead of the model's training data.
AI Agent Development
Agents that reason through a task, call tools and APIs, and complete multi-step workflows on their own instead of returning a single response — the deepest part of this stack, and its own dedicated page below.
AI Automation
Replace manual, repetitive processes with AI-driven decisions wired into your existing APIs, queues and background jobs — built to run unattended, not demoed once and left alone.
AI Chatbots
Contextual assistants that hold conversation history and retrieve from your documentation or product data, so answers stay scoped to your product instead of drifting into generic responses.
Use cases
AI use cases
Real-world applications of AI that solve actual business problems.
Customer Support
AI assistants that read your product documentation and support history to answer customer questions accurately, escalating to a human when the answer isn't in your data.
Document Intelligence
Extract structured fields, summarize long documents and answer questions against contracts, reports or forms — turning unstructured files into data your application can actually use.
Content Generation
Generate structured content — drafts, summaries, product descriptions — that follows your workflows and formatting rules instead of generic prose you have to rewrite by hand.
Knowledge Assistants
Let employees or customers query internal wikis, docs or knowledge bases in plain language instead of digging through folders, tickets or search results.
Workflow Automation
Chain AI decisions with API calls and background jobs to automate multi-step business processes that used to require manual review at every step.
Recruitment
AI-powered interview, screening and candidate evaluation systems that assess responses consistently instead of relying on ad hoc manual review.
Let's build your AI application.
Tell me what you're building. If your goal is an autonomous workflow, explore my dedicated AI agent development service or learn about hiring an AI developer for specialized model integration.
Tech Stack
AI technology stack
The model layer — Gemini and OpenAI — handles generation and reasoning; Qdrant or ChromaDB handle retrieval when an application needs to answer from your own documents instead of the model's training data; and the application itself — Next.js, Node.js, PostgreSQL, Redis — is what turns a model response into a product with authentication, data persistence and a UI, deployed on Vercel or AWS.
LLMs
4 core tools
AI
4 core tools
Vector Search
4 core tools
Application
4 core tools
Backend
4 core tools
Infrastructure
5 core tools
Selected work
Complete digital products, not just websites
SaaS platforms, AI systems, mobile apps, automation pipelines and business management platforms — designed, built and shipped for real clients.
Swasthify — Healthcare Management Platform
The same production discipline that goes into the AI applications above — a real data layer, authentication, admin tooling and integrations that hold up under real usage — built this healthcare platform too: a unified system connecting doctors, laboratories, patients and administrators, live in production and supporting 10k+ users across a web app and a dedicated Android app.
Web platform + Android application supporting 10k+ users across projects.
AI
AI Voice Interview Platform — Real-time Voice Assessment
An AI-powered real-time voice interview platform designed for technical and language assessments with conversational AI, voice interaction and intelligent evaluation.
AI
AI Video Ads Generator — Automated Content Creation
A generative AI use case from the other end of the spectrum: instead of retrieving answers from documents, this platform uses AI to generate promotional video advertisements directly, wrapped in an automated content-creation workflow so the output is production-ready rather than a one-off prompt experiment.
Donation / NGO
Bring Smile — Donation Platform
A modern donation website designed to help organizations collect donations, communicate their mission and create a simple digital fundraising experience.
Donation / NGO
Plan to Empower — Donation Platform
A purpose-driven donation platform focused on connecting supporters with meaningful social initiatives through a clean and accessible digital experience.
Finance
Legal257 — Finance & Loan CMS
A finance and loan management platform designed to simplify financial service operations, content management and customer workflows.
Donation / NGO
Jonojivan — Donation Platform
A donation-focused digital platform built to support social initiatives, manage campaigns and provide an accessible contribution experience.
E-commerce
Jonojivan — E-commerce Platform
An e-commerce platform designed to manage products, customers, orders and online commerce workflows.
E-commerce
Cleanveda — E-commerce Platform
A complete e-commerce experience with product discovery, shopping workflows, order management and a powerful administrative backend.
AI Blog Automation Platform
Multi-worker AI automation system
AI automation at the workflow level: this system runs research, planning, outline and writing as separate queued workers built on BullMQ and Redis, with Gemini generating content at each stage and an AI quality-evaluation step before anything publishes — the kind of multi-step AI workflow a single API call can't replicate.
Factory Management Platform
Manufacturing ERP
A complete manufacturing management platform for managing factory operations, workforce, raw materials, agents, distributors, offers, inventory and sales from one centralized system.
Site map
Explore related services
This is a hub page — dive into a specialised service below, or head back up to see everything I offer.
AI services
3 servicesAI features, agents, and AI-powered products.
Process
How AI development works
A clear, predictable process — from identifying the problem to deploying and iterating on AI workflows.
Who I work with
How I can help
Building an AI product
Turn your AI idea into a production-ready application.
Adding AI to existing app
Integrate AI capabilities into your current application.
Automating with AI
Use AI to automate repetitive business processes.
Identify the Problem
Determine where AI actually provides value for your product or business.
Select the Approach
Decide whether the application needs prompting, RAG, tool use, fine-tuning or another approach.
Build the Application
Develop the frontend, backend, data layer and AI workflows.
Connect Your Data
Integrate documents, databases, APIs and external systems.
Evaluate
Test output quality, reliability, latency and failure scenarios.
Deploy
Deploy the application and establish monitoring and iteration workflows.
Pricing
AI development pricing
Transparent, fixed-price quotes — no hourly billing surprises. Every engagement includes deployment and post-launch support.
AI Integration
For adding AI features to an existing application.
Starting at ₹49,999
- LLM API integration
- AI chat or generation
- Basic RAG setup
- Existing app integration
- 2–4 week timeline
- 30 days post-launch support
AI Application
For building a complete AI-powered application.
Starting at ₹1,29,999
- Full AI application
- Advanced RAG
- Custom AI workflows
- Authentication & database
- Admin dashboard
- 6–10 week timeline
- 30 days post-launch support
AI Platform
For complex AI platforms with agents and advanced infrastructure.
Custom pricing
- Everything in Application
- Multi-agent systems
- Complex AI workflows
- Multiple integrations
- Advanced infrastructure
- 10–16+ week timeline
- 60 days post-launch support
Need a custom estimate?
Free project estimate
Tell me what you want to build.
Share a few details, links, or a brief. I’ll review the scope personally and reply with practical next steps and a rough estimate.
What happens next
- 01Tell me about your project
- 02Get a rough estimate
- 03Agree the scope and milestones
- 04Launch with post-launch support
WhatsApp me
The fastest way to reach me. Message me directly — or call me on WhatsApp if you'd rather talk it through.
Chat NowEmail me
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support@devkitmarket.com
GitHub
LinkedInFAQ
AI development — FAQs
Have a different question? Send a short brief directly — no obligation, no sales calls.
support@devkitmarket.comLet's build your AI application.
Message me on WhatsApp or email me a short brief — I'll reply within one working day with next steps and a rough estimate.