You will get a premium AI customer experience system with agents, RAG, and automation
Project details
Build a measurable AI-powered customer experience system—not a generic chatbot. I combine customer-journey strategy, conversational AI, RAG knowledge retrieval, agent-assist workflows, human handoff, API integrations, analytics, governance, and production engineering. The engagement begins with your support goals and operating constraints, then turns them into a practical architecture and implementation. Depending on the tier, you receive a focused automation foundation, a production support system, or a premium connected CX platform with monitoring and optimization. Ideal for teams using Zendesk or other support platforms that want faster resolution, better consistency, lower manual workload, and a safer path from AI concept to live operations.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, Conversational AI, Image Processing, Natural Language UnderstandingAI Development Language
PythonAI Tools
GitHub Copilot, ReplitAI Models
ChatGPT, GPT-4, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$3,000
|
Standard
$6,000
|
Advanced
$12,000
|
|---|---|---|---|
| Delivery Time | 21 days | 35 days | 60 days |
Number of Revisions | 2 | 4 | 6 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
About Tanay
Zendesk Custom App Developer | AI Engineer & Full-Stack Consultant
Pune, India - 12:40 am local time
I’m a Software Engineer 2 and AI architect with 5+ years of full-stack experience across customer support, SaaS, workflow automation, messaging, analytics, and AI-assisted products.
My strongest areas are:
• Zendesk custom apps, marketplace apps, and API integrations
• AI features for customer support, ticket routing, agent assist, and knowledge workflows
• RAG systems, LLM integrations, model evaluation, and agentic workflows
• AI consultation, use-case prioritization, architecture, and roadmap planning
• Customer-experience analytics and workflow automation
• Full-stack SaaS development with React, Next.js, Node.js, TypeScript, Python, and AWS
• WhatsApp, email, CRM, payment, and third-party API integrations
• Security reviews, threat modeling, and production hardening
Selected work:
• Built an AI-based learning application that generates goal-oriented customer-support training scenarios and serves 350+ active customers.
• Developed a customer-ticket analytics application that identifies recurring issues and changes in support patterns over time.
• Built an LLM evaluation tool that compares models against configurable criteria and uses an LLM-as-judge workflow to recommend the right model for a use case.
• Created Waaru, a WhatsApp conversational SaaS product using AWS Bedrock, agentic state management, context-aware responses, and human handoffs.
• Developed a point-of-sale SaaS platform covering invoices, inventory, customers, payments, credit tracking, reporting, WhatsApp, IVR, and accounting integrations.
• Built Invoice India, a SaaS platform for Indian eInvoices and eWay bills, with tax-department APIs, WhatsApp Business, and accounting integrations.
I can help you design an AI roadmap, build or extend a Zendesk app, automate a customer-support workflow, add AI to an existing product, or take an AI-assisted prototype into production.
I bring product thinking, hands-on engineering, and customer-experience domain knowledge to every engagement. Let’s discuss your business process, existing systems, constraints, and the clearest path to a working release.
Steps for completing your project
After purchasing the project, send requirements so Tanay can start the project.
Delivery time starts when Tanay receives requirements from you.
Tanay works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery, CX architecture, and success metrics
I map journeys, identify high-impact automation and agent-assist opportunities, define the RAG and integration architecture, and agree on measurable service outcomes.