Sagar J.
AI Automation & AI Agents | n8n, Make, Python, API & ERP Systems
I build AI automation and custom business systems for companies whose operations have outgrown their tools โ 3,343 hours across 38 contracts on Upwork, 100% Job Success, Top Rated. โ Custom ERP built from scratch โ accounting, inventory, CRM and HR modules โ 662 hours, closed at 5.0, then extended by the same client โ 10+ years across manufacturing, healthcare, fintech, education and e-commerce โ Led a 25-person delivery team before going independent โ Full-stack in Python, Node.js and React โ so automation isn't limited to what a no-code tool allows Most automation stops at the edge of the SaaS tools. Connect the CRM to the spreadsheet, fire a webhook, done. That works right up until the process you actually need to automate lives inside your ERP, your accounting system, or a database nobody has touched in five years. That's where I come in. I build both layers โ the automation on top, and the custom system underneath. ๐ช๐๐๐ง ๐ ๐๐จ๐๐๐ โข AI agents and workflow automation โ document reading, data extraction, record updates, approval routing, and escalation to a human when confidence is low โข Business process automation โ the repeat work your team does every week, moved into systems that don't forget โข AI integration โ OpenAI API, LangChain, retrieval over your own documents (RAG), function calling, prompt and cost optimisation โข Custom ERP and ERPNext โ full builds and deep customization across Accounting, Inventory, CRM and HR, with role-based permissions and audit trails โข API integration โ REST, GraphQL, webhooks, queues, scheduled jobs, and two-way sync between systems that were never designed to talk โข Internal tools and dashboards โ React and Next.js front ends a non-technical team can actually operate ๐ง๐ข๐ข๐๐ฆ ๐ ๐ช๐ข๐ฅ๐ ๐ช๐๐ง๐ Automation & Integration โ n8n | Make | Zapier | REST APIs | Webhooks AI & LLM โ OpenAI API | LangChain | RAG | Vector databases | Prompt engineering Voice AI โ Vapi | Twilio CRM & Ops โ GoHighLevel | Airtable | HubSpot | ERPNext Backend โ Python | FastAPI | Flask | Django | Node.js Frontend โ React | Next.js | Tailwind Databases โ PostgreSQL | MySQL | MongoDB Mobile โ React Native | Flutter CMS โ WordPress | WooCommerce ๐ช๐๐ฌ ๐ง๐๐๐ฆ ๐๐ฆ ๐๐๐๐๐๐ฅ๐๐ก๐ง Most AI projects fail at the integration layer, not the model. The demo works. Then it can't read the ERP, can't write back to the CRM, and nobody trusts the output enough to take the human out of the loop. I spent years building the systems first. That's why the automation holds up in production โ error handling, retries, fallbacks and alerts, because integrations fail at 3am and someone has to know about it. ๐ ๐ช๐๐๐ ๐ง๐๐๐ ๐ฌ๐ข๐จ ๐ช๐๐๐ก ๐๐ ๐๐ฆ๐ก'๐ง ๐ง๐๐ ๐๐ก๐ฆ๐ช๐๐ฅ A fair number of "AI projects" are a database query and a scheduled job in a costume, and they cost a tenth as much. Sometimes the right answer is a cleaner integration, one source of truth, or fixing the process before automating it. I'd rather say that on the first call than bill you for the expensive version. ๐๐ข๐ช ๐ ๐ช๐ข๐ฅ๐ โข Scope first โ cost, timeline and what's explicitly out of scope, in writing, before either of us commits โข Working software you can see every week โข Full handoff โ documentation, naming conventions and a recorded walkthrough, so your team isn't dependent on me โข I stay your point of contact throughout ๐ฌ๐ข๐จ'๐ฅ๐ ๐ ๐๐ข๐ข๐ ๐๐๐ง ๐๐ ๐น Your team spends 10+ hours a week on work a system should be doing ๐น Your ERP, CRM and spreadsheets don't talk to each other ๐น Reporting is still assembled by hand ๐น You tried automation and it broke silently ๐น You want AI in the business, but only where it genuinely pays for itself ๐น You need someone who can build the system, not just connect two apps Fluent English, 30+ hours a week, full overlap with European hours and morning overlap with the US East Coast. Typical response 4-8 hours. Tell me what the process looks like today, who does it, and how long it takes them. I'll tell you the simplest way to fix it โ and whether it's worth your money.