AI Engineer · LLM Systems Architect · Automation Engineer · API Integrations
I'm an AI Engineer specializing in building production-grade AI systems, LLM pipelines, and automation platforms that solve real business problems — not just demos. My work spans the full stack: from document ingestion and AI processing to workflow orchestration and business output delivery.
- Specialized in RAG systems, AI agents, document intelligence, and end-to-end workflow orchestration
- Experienced in fintech automation integrating APIs such as Equifax, compliance services, and CRMs
- Focused on shipping systems that go from prototype to production, reliably and at scale
Build real systems. Automate everything. Scale what works.
| Metric | Count |
|---|---|
| Public Repositories | 25+ |
| n8n Workflow Templates Published | 15+ |
| AI Automation Projects Shipped | 10+ |
| Fintech API Integrations | 5+ |
| Document Types Processed (Enterprise) | 20+ |
| Domain | Skills |
|---|---|
| AI & LLM Systems | GPT-4o, LangChain, Hugging Face, RAG Pipelines, Prompt Engineering |
| AI Agents | Autonomous agents, tool use, multi-step reasoning, orchestration |
| Document Intelligence | OCR, Azure Document Intelligence, LLM-based extraction & validation |
| Automation Platforms | n8n, Microsoft Power Automate, Zoho Creator, Power Apps |
| Backend & APIs | FastAPI, Node.js, REST APIs, XML→JSON transformation, auth & validation |
| Cloud Platforms | Azure OpenAI, Azure VMs, AWS SageMaker, AWS S3 |
| Data & Analytics | Pandas, NumPy, Power BI, Excel Automation |
| Fintech Integrations | Equifax APIs, compliance APIs (ACN, PPSR, title checks), CRM systems |
End-to-end document processing and automation using Azure AI + Power Automate
- Processed 20+ financial document types using OCR + LLM pipelines
- Integrated Equifax APIs for credit and identity data retrieval
- Built Zoho Creator workflows for deal automation and CRM sync
- Reduced manual processing effort by ~30%
Architecture: Input → Power Automate → Azure OCR → LLM → Validation → APIs → CRM
🔗 Azure Document Intelligence | Power Automate Flows
Multi-step automation pipelines for compliance and credit data
- Designed full pipelines:
OCR → LLM → Validation → CRM → API calls - Converted XML API responses to structured JSON for downstream use
- Integrated Equifax, ACN, PPSR, and title check APIs
- Implemented retry logic, conditional flows, and fault-tolerant error handling
AI-powered sprint planning and backlog management platform
- Automated backlog prioritization using LLM-based triage
- Improved team productivity by ~40%
- Built with Next.js + OpenAI + real-time database
AI agent workflows published as a Verified n8n Creator
- Built agents for lead generation, job scraping, and social media automation
- Integrated OpenAI + Apify + external APIs into fault-tolerant pipelines
- Reduced manual effort by ~50% across use cases
Conversational search system built on Retrieval-Augmented Generation
- Built with LangChain + Mistral + ChromaDB
- Improved document search accuracy by ~35%
Natural language to SQL interface for non-technical business users
- Enabled plain-English database queries without SQL knowledge
- Powered by LLM-based query translation and validation
Template-driven document automation with backend integration
- Automated generation of structured documents from dynamic data inputs
- Integrated with backend systems for real-time output
System-wide prompt engineering tool — transform any text into a structured LLM-ready prompt with a single keystroke
- Select text in any application, press
Ctrl+Shift+Space, and instantly receive a well-structured prompt - Works across all apps system-wide — browser, IDE, notes, documents
- Designed for developers and power users who work with LLMs daily
- Eliminates prompt iteration overhead at the point of input
Full-stack AI meeting intelligence platform — transcription, summarization, and sprint management
- AI-powered meeting transcription with automatic action item extraction
- Sprint backlog generation and prioritization from meeting context
- Built with Next.js + OpenAI + real-time database for live collaboration
- Live deployment serving active users
🔗 GitHub Repository | meetingsai.netlify.app
Modular skill system for Claude — reusable, composable instruction sets that extend Claude's capabilities across workflows
- Architected a skill-based framework enabling Claude to consistently execute complex, multi-step tasks
- Skills cover domains including document creation, data analysis, frontend design, and automation workflows
- Designed for composability — skills stack and combine across pipelines
- Enables rapid deployment of Claude into production workflows without prompt re-engineering
Multi-agent system for autonomous evaluation and scoring of academic research papers
- Orchestrates specialized agents across methodology review, citation analysis, and result validation
- Produces structured evaluation reports with scoring rubrics and improvement recommendations
- Built for researchers, reviewers, and institutions processing high volumes of papers
- Demonstrates agentic coordination patterns: planning → delegation → synthesis
- AI-powered document processing systems — OCR + LLM + validation pipelines
- RAG-based search and chatbot systems — semantic retrieval over enterprise data
- AI agents for automation — lead generation, scraping, multi-step orchestration
- API-driven automation pipelines — CRM, fintech, compliance workflows
- Real-time AI applications — full-stack, backend + frontend integrated
- Portfolio: dinakar.vercel.app
- LinkedIn: linkedin.com/in/dinakar-selva
- Email: dinakars2003@gmail.com
- n8n: n8n.io/creators/jamesdinakar