You will get a custom AI chatbot or agent built for your business
Rising Talent
Rising Talent
Project details
I build custom AI chatbots and agents that handle real business tasks — not toy demos that break in production.
Whether you need a customer support bot that answers queries 24/7, a lead qualification agent that engages visitors and books meetings, or an appointment scheduling system that works without staff — I build it with enterprise-grade architecture that actually holds up in the real world.
How I build them: Clean Architecture, proper error handling, structured logging, and security-first design. Every bot includes an admin dashboard for monitoring conversations, analytics on common queries, easy knowledge base updates without needing a developer, and automatic fallback to human handoff when the AI cannot handle a query.
My 20 years of enterprise software experience across airlines, semiconductor, supply chain, energy, e-commerce, and SaaS means I understand how businesses actually operate — not just how AI technically works. I build chatbots that solve your specific business problem, not generic wrappers around ChatGPT.
Tech stack: LangChain, OpenAI API, Claude API, Node.js/TypeScript, Python, React dashboards, PostgreSQL, Redis. Deployment on your infrastructure / cloud.
Whether you need a customer support bot that answers queries 24/7, a lead qualification agent that engages visitors and books meetings, or an appointment scheduling system that works without staff — I build it with enterprise-grade architecture that actually holds up in the real world.
How I build them: Clean Architecture, proper error handling, structured logging, and security-first design. Every bot includes an admin dashboard for monitoring conversations, analytics on common queries, easy knowledge base updates without needing a developer, and automatic fallback to human handoff when the AI cannot handle a query.
My 20 years of enterprise software experience across airlines, semiconductor, supply chain, energy, e-commerce, and SaaS means I understand how businesses actually operate — not just how AI technically works. I build chatbots that solve your specific business problem, not generic wrappers around ChatGPT.
Tech stack: LangChain, OpenAI API, Claude API, Node.js/TypeScript, Python, React dashboards, PostgreSQL, Redis. Deployment on your infrastructure / cloud.
Chatbot Type
Customer Service Chatbot, Lead Generation Chatbot, Scheduling & Assisting ChatbotDevelopment Technology
ChatGPT, Node.js, PythonMessaging Platform
Facebook Messenger, Microsoft, Slack, Telegram, Website, WhatsAppWhat's included
| Service Tiers |
Starter
$800
|
Standard
$2,500
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 0 | 1 | 2 |
Action Plan | - | ||
API Integration | - | - | - |
Bug Fixes | - | - | - |
Chatbot Flow Design | - | ||
Conversation Script | - | - | - |
Optional add-ons
You can add these on the next page.
Additional language support (Hindi/Punjabi)
+$300
Monthly maintenance & updates
+$500
Custom integration (Slack, WhatsApp, Teams)
+$400Frequently asked questions
About Techscriptaid
Principal Software Architect | AI Agent Builder | 20 Years Enterprise
Jaipur, India - 5:04 am local time
Principal Software Architect with 20 years of enterprise systems experience across Fortune 500 engagements — Applied Materials (semiconductor) through ASM Technologies, PepsiCo (supply chain) through Melstar/Genpact, and United Airlines / Virgin Atlantic (aviation revenue management) through RTS Systems.
I hold an MBA in Business Analytics from BITS Pilani, which means I bridge deep technical execution with senior business stakeholder strategy — the cross-functional translation layer between data science, engineering, and executive leadership.
I architect and ship AI-integrated production systems — not demos.
Three products in active production: VoiceMeet Pro (scalable real-time audio conferencing with WebRTC/LiveKit, cloud recording, AI transcription, live on Google Play), ScriptPost AI (autonomous WordPress content engine powered by local LLMs — Ollama / Qwen 2.5 Coder 14B — at zero API cost), and Spark (Python multi-agent evaluation system on FastAPI with concurrent observer agents and atomic state coordination).
My core work is the architecture and MLOps layer that takes data science models from notebook to production: model serving infrastructure, multi-agent orchestration, feature integration, BI/dashboard wiring, observability, and governance.
I partner with applied data scientists on the modeling; I own the platform that makes it reliable at scale. Active development environment: multi-model stack — local Ollama (Qwen 2.5 Coder 14B, Gemma) plus Anthropic API selected per task, with Claude Code integrated in VS Code.
Onsite client work in the US (2017, Applied Materials) and Australia (2012, TridentGlobal).
Founder of TechScriptAid™ (D-U-N-S® 581452107).
PRODUCTS SHIPPED
▶ VoiceMeet Pro
Real-time audio meeting platform. Scalable multi-participant rooms, sub-2s latency, studio-grade WebRTC audio (LiveKit), per-participant cloud recording, AI transcription with real speaker names (Whisper via Groq), host visibility controls, guest access without registration, waiting room, Google SSO, admin dashboard, Razorpay + Stripe payments. React, Node.js/TypeScript, PostgreSQL, Redis, Oracle Cloud. Live on Google Play production + browser-based.
▶ ScriptPost AI
Autonomous WordPress content engine powered by local LLMs (Ollama/Qwen 2.5 Coder 14B). Generates 1,500–2,000 word SEO-optimized articles with syntax-highlighted code blocks, auto-fixes 14+ SEO issues, generates structured data schema (JSON-LD) and meta descriptions, intelligent internal linking, batch processing with cron scheduling, error recovery with exponential backoff. TypeScript, Node.js, Python tooling, Clean Architecture, DDD. Zero API costs.
▶ Spark
Python multi-agent evaluation system on FastAPI + React/TypeScript Vite. Orchestrates five concurrent specialist agents via asyncio.gather after each interaction, with atomic JSON state patching through asyncio.Lock (read-inside-lock semantics), crash-safe SQLite task queue with replay-on-startup recovery, SSE streaming chat, and a three-pass JSON extractor with a documented switch trigger to tool-use enforcement when observer failure-rate data justifies the per-call token cost. Schema-versioned profile model with automatic migration. Production-grade Python concurrency and evaluation harness design.
SERVICES
AI integration — RAG pipelines, LLM workflows, multi-agent orchestration, intelligent automation
AI evaluation — evaluation harness design, structured output validation, model output analysis
Full-stack development — Python/FastAPI, Node.js/TypeScript, React/Next.js, PostgreSQL, Redis
Cloud & deployment — Oracle Cloud, AWS, Docker, automated SSL, CI/CD pipelines with architecture fitness checks
System architecture — Clean Architecture, CQRS/MediatR, Circuit Breakers, DDD
Legacy modernization — .NET/Java monoliths → modern Python or Node.js/TypeScript stacks
TECH STACK
Python, FastAPI, asyncio, TypeScript, Node.js, React, Next.js, PostgreSQL (+ pgvector), Redis, SQLite, Docker, Oracle Cloud, AWS, LiveKit, Ollama (Qwen 2.5 Coder, Gemma), Anthropic API, OpenAI API, Whisper, C#, ASP.NET Core. Claude Code in VS Code as primary dev environment.
ENGINEERING APPROACH
Clean Architecture. CQRS with MediatR. Circuit Breaker patterns. Atomic state coordination for concurrent systems (asyncio.Lock with read-inside-lock semantics). Crash-safe task queues with replay. Redis caching and session management. Docker containerization. Automated CI/CD pipelines with dependency-cruiser architecture fitness checks. Dependency Injection. Repository Pattern. Transactional reliability.
Comprehensive error handling, structured logging, and monitoring. Full documentation and knowledge transfer.
Steps for completing your project
After purchasing the project, send requirements so Techscriptaid can start the project.
Delivery time starts when Techscriptaid receives requirements from you.
Techscriptaid works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery call and requirements
We discuss your business needs, customer queries, integrations needed, and desired chatbot behavior.
Build and train the chatbot
I develop the chatbot with your knowledge base, conversation flows, and integrations. You get a working demo to review and test.