Conversations
A call, a chat, a form. Every engagement arrives as language, not as data.
AI SYSTEMS / VOICE AI / AUTOMATION
I build intelligentsystems that take action.
I help ambitious teams turn repetitive work into reliable AI systems that qualify leads, support customers, and move the business forward.
Available for AI, automation, Voice AI, and full-stack projects.
Built for teams that want useful AI, not another demo.
01
Business-firstOutcomes before hype
02
Production-readyReliable, measurable systems
03
Fast collaborationClear weekly progress
04
One accountable builderStrategy through launch
The pipeline
From conversation to automation. From idea to production.
AI models
Intent, entities and sentiment extracted with prompts that hold up on the thousandth call.
Business data
Grounded in your CRM, catalogue and documents through retrieval, so answers cite something real.
APIs
Tool calls that read and write to the systems the business already runs on.
Automation
Routing, qualification, follow-ups and escalation running without anyone copying and pasting.
Real actions
A booked meeting, an updated record, a sent quote. The outcome, not the transcript.
Expertise
Systems that understand, decide, and act.
01
02
03
04
AI agents & LLM applications
Intelligent assistants, tool-calling systems, RAG applications, structured-output workflows, and AI-powered products.
Voice AI & calling automation
AI receptionists, inbound and outbound voice agents, real-time calling systems, and speech workflows.
AI automation & CRM integrations
Forms, CRMs, APIs, webhooks, notifications, lead qualification, replies, and follow-ups — connected.
Full-stack SaaS development
Dashboards, authentication, APIs, payments, databases, real-time systems, and scalable business platforms.
Selected work
Products running in production.
CallerSync — 01 / 04
AI-powered conversations that become qualified opportunities.
A production-focused AI calling and automation platform that handles conversations, understands customer intent, qualifies leads, and connects business workflows.
Case studies
How the work actually gets built.
A closer look at the problem, the workflow, and the product decisions behind the systems I build.
CallerSync
Every missed call was a lost quote.
Service businesses answered a fraction of inbound calls and lost the rest to voicemail. The concept: an AI caller that picks up instantly, holds a real conversation, and hands qualified leads to sales with full context.
0Inbound coverage
0Calls transcribed & scored
0Lead in CRM after hang-up
Solution, workflow and stack
Key workflow
Call lands on a telephony number, audio streams to speech-to-text, an LLM turn runs with scoped tools, and audio streams back — inside a sub-second latency budget.
Main features
- Instant answering with barge-in and natural turn-taking
- Intent detection and lead scoring during the call
- Live transfer on high value or frustration
- Summary, transcript and next action written to the CRM
Technology
Voice AI, OpenAI, Twilio, Deepgram, real-time agents, webhooks, CRM automation.
Business value
Inbound demand is captured around the clock, and sales starts every conversation already knowing what the caller wanted.
CallAgent
Outbound that sounds like a colleague, not a robot.
Teams needed to reach hundreds of leads without a call centre. The concept: configurable voice agents that run campaigns, hold context across a conversation, and pass warm leads on.
0Target response latency
0Voice & telephony providers
Solution, workflow and stack
Key workflow
A campaign runner dials from a list, loads the agent's prompt, voice and tools, then streams the conversation with interruption handling and voicemail detection.
Main features
- Agent builder: prompt, voice, guardrails, tools
- Retry logic and voicemail detection
- Post-call classification and analytics
- Recordings and searchable transcripts
Technology
LLMs, Voice AI, telephony, speech-to-text, text-to-speech, Node.js, APIs.
Business value
Outbound reach scales without headcount, and every call ends with a structured, reportable outcome.
AI automation systems
The work between the lead and the reply.
Agencies were pasting enquiries between a form, a spreadsheet, a CRM and an inbox. The concept: one workflow that reads every enquiry, decides what it is, and does the next step itself.
0Manual steps removed
0Enquiry to first response
0Enquiries overnight
Solution, workflow and stack
Automation logic
Webhook trigger, enrichment, an LLM call with a strict output schema, validation, branch on score, CRM update, notification, scheduled follow-up.
Main features
- Capture from forms, chat, WhatsApp and calls
- Structured extraction into fixed JSON
- Scoring rules that route hot leads to a human immediately
- Drafted replies and multi-step follow-up sequences
Technology
n8n, OpenAI, Claude, webhooks, REST APIs, CRM integrations, structured outputs.
Business value
Nothing sits in an inbox overnight, and the team spends its time on conversations rather than admin.
Full-stack SaaS
From an idea in a doc to a product with paying users.
A business process living in spreadsheets needed to become a product: accounts, roles, billing, an audit trail, and an interface a customer would trust.
0Uptime target
0API endpoints shipped
Solution, workflow and stack
Product concept
A typed full-stack application with server-rendered pages, a documented API, background jobs, and a dashboard built around the customer's daily task.
Main features
- Authentication, roles and team workspaces
- Subscription billing and usage limits
- Real-time updates and notifications
- Admin tooling, logging and error monitoring
Technology
React, Next.js, Node.js, Python, Java, PostgreSQL, MongoDB, Supabase, Stripe.
Business value
A repeatable process became a product that can be sold, measured and improved.
How I build
A process that ends in production.
- 01
Understand the business problem
What is slow, expensive or getting missed today, and what a good outcome actually looks like.
- 02
Design the AI or automation workflow
Map the trigger, the decision points, the fallbacks, and where a human stays in the loop.
- 03
Connect APIs, data, and business tools
Wire up the CRM, telephony, knowledge base and internal systems so the agent works with real data.
- 04
Build and test the product
Ship in small pieces, test against real conversations and edge cases, tighten the prompts and schemas.
- 05
Deploy, monitor, and improve
Release, watch the logs and call outcomes, keep improving quality, cost and latency after launch.
Services
Build less manually. Make more happen.
01AI agent development
Assistants that use tools, follow rules and finish tasks instead of just replying.
02Voice AI receptionists
An agent that answers every call, day or night, in your business's own words.
03AI automation & CRM integrations
Lead qualification, routing, CRM updates, notifications and follow-ups without manual copying.
04RAG and knowledge-based AI
Answers grounded in your documents, with the source attached.
05AI-powered SaaS products
Useful web products that turn an idea or manual process into something customers can use and pay for.
06CRM and API integrations
Your tools, finally talking to each other without a spreadsheet in between.
07Lead qualification workflows
Sales sees the right leads first, while they are still warm.
08Automated follow-up systems
Nothing goes quiet by accident.
09AI-powered SaaS products
An AI feature customers will actually pay for.
10Full-stack web and mobile applications
The product built around the intelligence.
Technology
Tools are different. The way they work together is the advantage.
AI and LLM
reasoning, extraction, grounding
OpenAIClaudeGeminiLangChainRAGPrompt engineeringStructured outputs
Voice AI
real-time speech, telephony
VapiRetellTwilioPlivoElevenLabsLiveKitDeepgramAssemblyAIGoogle TTS
Automation
the glue between systems
n8nWebhooksREST APIsCRM integrationsWorkflow automation
Development
the product layer
ReactNext.jsNode.jsPythonJavaFastAPITypeScript
Data and infrastructure
where it runs and persists
PostgreSQLMongoDBRedisSupabaseAWSDockerCI/CD
About
Building useful intelligence for real-world products.
Raj Mehta
AI Developer · Full-Stack Engineer
Open to work
Surat, Gujarat, India
Remote worldwide
Raj Mehta is an AI Developer and Full-Stack Engineer focused on building practical, scalable, and production-ready software.
I build AI agents, Voice AI, automation workflows, and full-stack products that turn manual work into reliable business systems.
01
AI products
AI agents, Voice AI, RAG, and LLM-powered applications.
02
Automation systems
Lead qualification, CRM workflows, follow-ups, APIs, and integrations.
03
Full-stack engineering
SaaS products, dashboards, mobile apps, backend systems, and scalable APIs.
Contact
Have an idea that should do more?
Let's turn your business process, product idea, or AI opportunity into a reliable working system.
Available for new projects
Usually replies within one business day.
Emailrajm267747@gmail.comFastest way to reach me
LinkedInraj-mehta-88a396241Background and updates
GitHubrajmehta89Code and experiments
UpworkrajmehtaHire with contract protection
Let's build something useful, intelligent, and ready for production.