Nik S.

Sr. Full-Stack AI Engineer | .Net, Python, Multi-Agent Systems, RAG

Full-stack engineer who ships AI products end-to-end — from the multi-agent under the hood to the Next.js dashboard the client actually uses. I architect, build, and deploy the whole system: frontend, APIs, data layer, AI workflows, and cloud infrastructure. 𝐑𝐄𝐂𝐄𝐍𝐓 𝐖𝐎𝐑𝐊 - Autonomous Financial Research Analyst — multi-agent with real-time market data, RAG over analyst reports, sentiment analysis on news signals, and cited Buy/Hold/Sell recommendations. Built with tool calling, routing, and state management. - Multi-Agent Mortgage Underwriting System — orchestrated specialist agents for credit, income, assets, and collateral review. Includes risk scoring, PII protection, bias detection, audit trails, and human-in-the-loop review. - DualLens Analytics — RAG-based financial intelligence platform unifying quantitative data with qualitative analysis through vector search and contextual retrieval. - Restaurant Booking & POS Platform — full-stack hospitality system handling table reservations, order entry, payment processing, and operations reporting. Built for the operator: real-time table availability, role-based staff permissions, and integrated payment flows. - Real-Time Order Tracking & Delivery Service — Go microservice powering live order status, driver geolocation, and customer push notifications. Built for high concurrency with WebSockets and Redis pub/sub; handles thousands of simultaneous connections with sub-second update latency. Exposes REST + event-driven APIs for integration with POS and dispatch systems. 𝐖𝐇𝐘 𝐌𝐄 15+ years operating real businesses with full P&L responsibility, including $500K+ enterprise contracts. I've lived inside the operations AI is now automating — so I build systems that solve the actual business problem, not just the technical one. You get an engineer who can architect the stack, ship the product, and talk to your stakeholders in their own language. 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 Frontend: Angular, Next.js, TypeScript, responsive UI, dashboards Backend: Python (FastAPI, Flask), .Net, Java Spring Boot, Go, REST APIs Data: PostgreSQL, MySQL, Redis, ChromaDB, vector search, structured + unstructured pipelines Deployment: AWS, GCP, Vercel, Render, Docker, CI/CD AI / Agent layer: LangGraph, LangChain, multi-agent orchestration, tool calling, state management, HITL workflows LLM layer: OpenAI API, prompt engineering, RAG, agentic RAG, embeddings, NLP & sentiment analysis Governance & eval: PII protection, bias detection, audit trails, LLM evaluation 𝐃𝐎𝐌𝐀𝐈𝐍 𝐒𝐏𝐄𝐂𝐈𝐀𝐋𝐓𝐈𝐄𝐒 Financial analysis & research agents • Document intelligence & underwriting • Risk scoring & compliance • SMB workflow automation • Internal tools & dashboards • Hospitality, real estate & finance vertical AI Working on something where the AI has to plug into a real product — not just a demo? Let's talk.