Ragnar Lothbrok

Built a multi-agent lead generation and cold-calling system for high-volume real estate operations. Used LangGraph for orchestration and Puppeteer for live lead scraping and enrichment.

Built and shipped IronFlow, a data-driven workout tracking app for serious athletes, using AI-assisted development tools to accelerate full-stack delivery. Developed a React 19 + TypeScript + Vite frontend with Tailwind CSS, Recharts-based dashboards, and Supabase-backed authentication and data layer.

Architected a production-grade RAG chatbot for employees across 6,000+ companies, enabling automated 24/7 policy query handling. Built a high-throughput Node.js and TypeScript pipeline to ingest, process, and chunk PDFs and scanned policy documents into Pinecone using OpenAI embeddings.

Built an AI voice receptionist for appointment scheduling, reducing front-desk manual workload by 40%. Engineered a latency-optimized voice workflow using Vapi and Retell AI with streaming responses, achieving p99 latency below 800ms.

Designed end-to-end workflow automations across CRM, email, lead intake, follow-ups, and document generation. Integrated n8n, Make, Airtable, Gmail, and OpenAI into production workflows for client operations.

Built and delivered 11+ custom business applications on SAP Business Technology Platform (SAP BTP) low-code App Builder, solving complex enterprise workflows. Worked as an SAP ABAP and SAP BTP intern, using ABAP-based development and SAP BTP's low-code tools to design and implement end-to-end applications.

Completed the SAP Certified Development Associate certification with focus on ABAP and HANA.

Completed the Develop and Automate with SAP Build certification.

Grade: First Class with Distinction (74%)

Completed Bachelor of Engineering in Computer Science with First Class with Distinction (74%).