You will get a custom n8n automation workflow that eliminates manual work
Project details
You will get a custom n8n automation workflow that eliminates manual,
repetitive work from your business — saving your team hours every week.
I specialize in building reliable, well-structured n8n workflows that
connect your apps, APIs, and AI tools into one seamless automated process.
Whether you need lead capture automation, CRM updates, email follow-ups,
AI-powered data processing, or internal ops workflows — I design and
deliver it cleanly.
Every workflow I build includes:
✅ Full testing before delivery
✅ Error handling so it doesn't break silently
✅ A clear handover so you know exactly how it works
✅ Documentation or walkthrough video on Advanced tier
I work fast, communicate clearly, and don't disappear after delivery.
If something needs fixing, I'm here. Let's automate the work that's
slowing you down.
repetitive work from your business — saving your team hours every week.
I specialize in building reliable, well-structured n8n workflows that
connect your apps, APIs, and AI tools into one seamless automated process.
Whether you need lead capture automation, CRM updates, email follow-ups,
AI-powered data processing, or internal ops workflows — I design and
deliver it cleanly.
Every workflow I build includes:
✅ Full testing before delivery
✅ Error handling so it doesn't break silently
✅ A clear handover so you know exactly how it works
✅ Documentation or walkthrough video on Advanced tier
I work fast, communicate clearly, and don't disappear after delivery.
If something needs fixing, I'm here. Let's automate the work that's
slowing you down.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AIOps, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language Understanding, Time Series AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, GPT-3, GPT-4, LaMDA, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$75
|
Standard
$195
|
Advanced
$345
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
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 Amit
AI Engineer | RAG | LLM | MERN | Azure | AWS | Vector DB
Panchkula, India - 1:27 am local time
I'm Amit. I work on AI-heavy web applications — RAG pipelines, LLM integrations, vector search, the stuff that requires you to actually understand how these models behave before wiring them into a product. Underneath that sits solid full stack engineering: MERN, Java backend, cloud infra on Azure and AWS, Kubernetes, Terraform — because an impressive AI layer on a broken backend is just an expensive demo.
I don't take briefs at face value. I look at what you're actually trying to build, where it'll break, and how to make it not do that.
What I Build
AI-powered SaaS platforms with LLM and RAG capabilities
RAG pipelines using Vector Databases (Pinecone, Weaviate, pgvector) and LangChain
OpenAI, Claude, and custom LLM integrations into production applications
AI chat systems, document Q&A tools, and intelligent automation workflows
Admin dashboards, CRM and ERP systems, client portals
Multi-tenant platforms, marketplace and subscription products
Real-time WebSocket applications, workflow automation, API-heavy business tools
AI & LLM Engineering
I build systems beyond a basic OpenAI API call — production-grade pipelines with proper retrieval architecture, context handling, prompt engineering, chunking strategies, embedding workflows, and cloud deployment on Azure and AWS.
Stack: LangChain, LlamaIndex, OpenAI API, Azure OpenAI Service, AWS Bedrock, vector databases, semantic search, hybrid retrieval systems.
I know how RAG breaks in production — poor chunking, weak embeddings, irrelevant retrieval, latency at scale — and I design around those failure points from day one.
Full Stack Engineering
Frontend: React.js, Next.js, Redux, TypeScript, Tailwind CSS, Material UI — optimized rendering, SEO-friendly architecture, responsive layouts, dashboard interfaces built for complex real-world data.
Backend: Node.js, Express.js, Java backend systems, REST APIs, GraphQL, RBAC authentication, middleware architecture, microservice-friendly patterns, WebSocket integrations, webhook systems. Backends that stay clean six months after launch.
Databases: MongoDB, PostgreSQL, MySQL, Firebase, Supabase, Vector DBs. Schema design, aggregation pipelines, query optimization, indexing — relational and non-relational at scale.
Cloud, Infra & DevOps
AWS, Azure, DigitalOcean — with Kubernetes for orchestration, Terraform for infrastructure-as-code, Docker, Nginx, PM2, GitHub Actions CI/CD, Linux environments. A well-built app on broken infrastructure is still a liability. I handle both.
Integrations
Stripe, PayPal, Twilio, Google APIs, Firebase, Supabase, OAuth 2.0, CRM integrations, email services, analytics platforms, webhooks, and custom third-party API layers.
What I Prioritize
Clean architecture from day one, not after the rewrite
AI pipelines that work in production, not just staging
Backend systems that scale without structural changes
Frontend performance with real SEO value
Secure APIs and authentication systems
Infrastructure that doesn't need babysitting
Code the next developer can actually read
Who I Work With
Startups, founders, product teams, and agencies that need someone who thinks technically, communicates clearly, and owns full product development without hand-holding. If you've been burned by a developer who vanished post-delivery or handed over something unmaintainable — that's exactly the gap I fill.
Core Skills
AI Engineering, RAG Pipelines, LLM Integration, Vector Databases, LangChain, OpenAI API, Azure OpenAI, AWS Bedrock, MERN Stack, React.js, Next.js, Node.js, Express.js, Java Backend, MongoDB, PostgreSQL, TypeScript, GraphQL, REST APIs, SaaS Development, Multi-Tenant Architecture, Kubernetes, Terraform, Docker, AWS, Azure, CI/CD, WebSocket Systems, Authentication Systems, Automation Engineering, CRM & ERP Systems, Cloud Deployment.
Steps for completing your project
After purchasing the project, send requirements so Amit can start the project.
Delivery time starts when Amit receives requirements from you.
Amit works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery, Design & Planning
I review your tools, understand the automation goal, map out the full workflow logic, and confirm the plan before building.
Build, Test & Deliver
I build and test the n8n workflow, connect all apps and APIs, then deliver the workflow file with a handover walkthrough.