Jinal Joshi - AI Automation | ContraWork by Jinal Joshi
Jinal Joshi

Jinal Joshi

Custom AI Assistants & Automated Workflows for Business

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Cover image for Mittu — Multilingual WhatsApp AI
Mittu — Multilingual WhatsApp AI Agent for Local Businesses The Problem: Small retail shop owners and local businesses in India don't want another bloated dashboard or complex management software. They want to type a quick message in their everyday language and get business handled immediately—logging orders, generating invoices, and checking sales without friction. The Solution: I built Mittu, a conversational AI assistant on WhatsApp designed specifically around how Indian retailers actually communicate. Mittu operates directly inside WhatsApp, allowing store owners to manage daily operations entirely in Hindi and Hinglish. Key Features & Capabilities: Conversational Order Intake: Parses multi-item orders with customer names and pricing directly from natural, free-form text. Automated GST Invoicing: Calculates tax breakdowns (GST @ 18%) and generates structured invoice numbers (INV-xxxx) on demand. On-Demand Business Intelligence: Summarizes daily and weekly revenue, top-selling items, and transaction logs via simple voice/text prompts. Natural Hindi/Hinglish Processing: Built to understand mixed-language phrasing, colloquial terms, and localized business terminology. Architecture & Tech Stack: Core Agent Logic: Python LLM Engine: Groq (LLaMA 3.3) for low-latency reasoning and conversational routing Database & Memory: Supabase for customer order history and transaction tracking Messaging Layer: Twilio WhatsApp Business API Pitch / Call to Action: Looking to build custom AI agents that automate customer operations or bridge English-only AI tools into local languages? Let's connect and build it.
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Cover image for QuickServe — AI Natural Language
QuickServe — AI Natural Language Business Portal & Automated Service Hub The Problem: Traditional business portals require navigating multi-level menus just to check account metrics or raise a support ticket. QuickServe replaces that complexity with conversational actions backed by secure backend execution. Key Deliverables & Architecture: Natural Language Data Access: Queries live balances and recent transaction records directly from SQL Server using structured OpenAI tool calls. Conversational Service Actions: Triggers backend service tickets and workflows straight from the chat interface. Fault-Tolerant Fallback Layer: Rule-based fallback logic ensures critical business queries remain functional even if third-party AI APIs experience downtime. Tech Stack: .NET Core, React, SQL Server, OpenAI API.
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Cover image for CMS: Secure Payments. Smarter Operations.
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CMS: Secure Payments. Smarter Operations. A payment integration is not just about connecting a gateway. For this project, I designed and implemented a wallet-based payment workflow where users can recharge their wallet, use the balance for services, and have every transaction tracked with clear status and refund controls. The goal was simple: make payments reliable, traceable, and easy to manage for both users and administrators. Built with .NET Core, React, SQL Server, PayU and JWT Authentication. I enjoy taking a business process that feels fragmented or manual and turning it into a simple, practical digital solution.
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Cover image for Chakran CMS — Turning Business
Chakran CMS — Turning Business Operations Into One Simple Workflow I designed and built this SaaS platform to bring applications, payments, wallet transactions, document handling, and reporting into one place. The focus wasn’t just on building features — it was on understanding the business workflow and turning it into a secure, easy-to-manage solution for both users and administrators. Built with: .NET Core, React, SQL Server, PayU & JWT Authentication. If you have a business process that feels complicated, manual, or disconnected, I can help turn it into a streamlined digital solution.
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