AI Agent Systems
Design and build agentic workflows that connect LLM reasoning with tools, APIs, databases, and human review.
OpenAI Agents SDK, Google ADK, LangGraph, FastAPI, Next.js
AI consulting for founders, product teams, and automation-heavy businesses
Raj Kapadia
Senior AI/LLM engineer building agents, chatbots, and full-stack AI products that survive real users.
I help teams turn AI prototypes into reliable workflows across WhatsApp, Telegram, web apps, databases, and cloud infrastructure.
7+
years building production software and AI systems
100+
chatbots delivered across Dialogflow ES and CX
5
developers led on AI/ML product delivery
1.2K+
students across applied chatbot courses
Why bring Raj in
Practical AI engineering for teams that need more than a demo.
Raj combines LLM application development, chatbot delivery, full-stack engineering, and applied ML leadership to build systems that can be deployed, maintained, and explained.
Led a 5-person AI/ML engineering team building enterprise LLM, text-to-SQL, image search, and deep learning products.
Delivered chatbot and automation projects for clients worldwide through freelance marketplaces and direct consulting.
Brings teaching depth from 6+ years as an Assistant Professor, plus practical production delivery across AI and web stacks.
Team lead delivery
Led AI/ML teams building enterprise LLM, text-to-SQL, image search, and deep learning systems.
Client-ready systems
Delivered chatbots, APIs, automations, and AI products for global freelance and direct clients.
Teaching depth
6+ years as an Assistant Professor plus ongoing YouTube and course content for applied AI builders.
Consulting services
Build AI workflows your team can actually operate.
From prototype cleanup to full product delivery, the focus is reliable agent behavior, practical integrations, and user-facing software that makes AI useful.
LLM Applications
Ship production-ready LLM apps for text-to-SQL, retrieval, internal automation, and decision-support workflows.
RAG, vector databases, prompt systems, evaluations, cloud deployment
Conversational AI
Build reliable web, WhatsApp, and Telegram chatbot experiences with async workers and enterprise webhook patterns.
Dialogflow ES/CX, Meta WhatsApp, Telegram, Redis, ARQ
Full-Stack AI Products
Turn AI prototypes into usable products with durable APIs, dashboards, auth-ready UI, and deployment paths.
Next.js, React, TypeScript, Python, PostgreSQL, GCP, AWS
Ways to work together
Book a fit callPrototype-to-production audit
Review the architecture, failure points, and launch path before you invest in a full rebuild.
End-to-end AI product build
Design and ship the agent logic, APIs, frontend, deployment flow, and handoff documentation.
Webhook and chatbot systems
Build WhatsApp, Telegram, Dialogflow, Gemini, and worker-backed automations that handle real traffic.
LLM workflow rescue
Stabilize unreliable prompts, tool calls, retrieval flows, background jobs, and product UX.
Selected work
Applied AI systems, not slideware.
A sample of agent, chatbot, LLM, NLP, computer vision, and bot products that show how Raj turns model capability into usable software.
AI AgentsFeatured
AI Agents Beyond Jupyter Notebooks
FastAPI + Telegram bot backend that runs an OpenAI Agent with background job processing via ARQ.
Problem
Move agent demos out of notebooks and into a production-style async messaging backend.
Outcome
A durable FastAPI and Telegram workflow that processes agent jobs in the background without blocking users.
Async ARQ worker
Telegram interface
OpenAI Agents SDK
Python, FastAPI, Telegram, OpenAI Agents SDK
View buildConversational AI
WhatsApp + Google Conversational Agents Integration
A FastAPI webhook server that connects WhatsApp to Google Conversational Agents (Dialogflow CX) and Gemini AI. Incoming WhatsApp messages are enqueued to a Redis-backed ARQ worker for async processing, so the webhook returns 200 OK immediately without risking Meta timeout/retries.
Problem
Connect WhatsApp conversations to Google Conversational Agents without webhook timeout failures.
Outcome
A production-ready async pattern for Meta webhooks, Dialogflow CX, Gemini, Redis, and background processing.
Meta webhook handling
Redis queue
Dialogflow CX and Gemini
Python, FastAPI, Meta, Google Cloud Platform, GCA
View buildLLM Applications
LLM-Powered Text-to-SQL WhatsApp Application
Natural language interface to SQL databases via WhatsApp. Real-time database queries using conversational AI, eliminating the need for SQL knowledge.
Problem
Let non-technical users query structured data from a familiar chat interface.
Outcome
A WhatsApp-first text-to-SQL workflow that turns natural language questions into useful database answers.
Natural language SQL
WhatsApp UX
PostgreSQL workflow
LLM, NLP, WhatsApp API, SQL
View buildApplied ML
Toxic Comment Classifier
NLP-based system to identify and classify toxic comments in real-time, helping moderate online communities and maintain healthy discussions.
Problem
Detect harmful user-generated text quickly enough to support community moderation workflows.
Outcome
A practical NLP classifier with a simple interface for testing and demonstrating moderation behavior.
Text classification
PyTorch
Gradio interface
Python, PyTorch, Flask, NLP
View buildComputer Vision
End-to-End Object Detection Solution
An end-to-end pipeline with training, evaluation, optimization, and API delivery foundations.
Bot Products
Habit Tracker Telegram Bot
A Telegram-native bot with reminders, tracking, and weekly summaries backed by PostgreSQL.
Developer Tools
Dialogflow CX Webhook Template
A reusable FastAPI template that speeds up chatbot implementation and keeps webhook structure consistent.
AI Agents
LangGraph Table Booking AI Agent
A restaurant booking agent concept that demonstrates orchestration across conversation, logic, and UI.
Technical depth
A stack built for AI products that need frontend, backend, and model fluency.
LLM Engineering
Fine-tuning and inferenceAI agents and tool callingPrompt systemsRAG and vector searchOpenAI Agent SDKGoogle ADK
Applied ML
TensorFlowPyTorchComputer visionNLPObject detectionImage similarity search
Product Engineering
Next.js App RouterReact and TypeScriptFastAPINode.js APIsPostgreSQLCloud deployment
Automation Channels
Dialogflow ES/CXWhatsApp integrationsTelegram botsWebhook systemsBackground workersLead capture flows
Teaching and walkthroughs
Recent AI and chatbot tutorials.
Practical implementation videos that show the same applied engineering style used in client work.
Courses
Learn the chatbot foundations behind production consulting work.
Master Google Dialogflow ES: Build Smart Chatbots
Learn to build chatbots using the Dialogflow ES, supported by Python.
70 students
4.6 (16 reviews)
![Master Dialogflow CX - Build Engaging Chatbots [2025]](/_next/image?url=%2F_next%2Fstatic%2Fmedia%2Fdialogflow-cx.0786e5cf.png&w=3840&q=75)
Master Dialogflow CX - Build Engaging Chatbots [2025]
Learn to build chatbots using the Dialogflow CX, supported by Python and FastAPI.
1,206 students
4.2 (33 reviews)
Start a project
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