Maryna H.

⚡️AI Architect ⚡️Python ⚡️LLM ⚡️RAG ⚡️AI Agent development ⚡️Database Development ⚡️ Data Engineering ⚡️ Cloud ⚡️ ✅ Top Rated Plus — Top 10% of AI Specialists & ML Engineers on Upwork ✅ AWS and IBM certified — I've got AWS Cloud Practitioner and IBM "RAG for Generative AI Applications" specialisation certificates 🚀 AI Engineer specialized in AI Agents & RAG Development - I help businesses build intelligent assistants that can understand, search, and respond using their own data. I combine 15+ years of enterprise software and database engineering with modern Generative AI architecture and build fast, reliable, and secure AI workflows. ✅ Core Expertise & Services 📌 AI Agents & Multi-Agent Orchestration: Building stateful, autonomous AI workflows using LangGraph, LangChain, and Tool Calling. Expert in creating MCP (Model Context Protocol) tools to grant LLMs secure access to internal systems. 📌Production RAG & Vector Retrieval: Architecting scalable retrieval-augmented generation systems using pgvector and semantic search over complex, multi-tenant enterprise documentation. 📌Enterprise System Integrations: Connecting LLMs via REST APIs, webhooks, and custom logic to platforms like SAP Business One, Oracle EBS, Jira, and Microsoft 365. 📌LLMOps & Observability: Setting up runtime tracing with OpenTelemetry and Grafana to monitor token costs, latency, edge-case failures, and agent decision pathways. 📌Robust Backend & Cloud Infrastructure: Developing clean, testable backend services using Python, SQL/PostgreSQL, and Docker Compose, deployed on AWS or GCP. ⚡️Why Clients Choose to Work With Me 🔹 Enterprise-Grade Quality: 15+ years of experience in database design, data validation pipelines, and complex backend architecture means I focus on system correctness, privacy, and deterministic behavior - not just fast hacks. 🔹 Production Observability: I don't leave AI as a "black box." Every agent flow I build is wired with execution tracing and telemetry to verify agent output before it hits production. 🔹 Academic & Cloud Credentials: Master of Computer Science | AWS Certified Cloud Practitioner. 🚀 Tech Stack 🔹 AI & Orchestration: Python, LangGraph, LangChain, MCP, OpenAI API, Gemini, Prompt Engineering, Structured JSON Outputs 🔹 Vector & Relational DBs: PostgreSQL, pgvector, Oracle PL/SQL, SQL, Data Modeling 🔹 Observability & Ops: OpenTelemetry, Grafana, Docker Compose, n8n, Git 🔹 Cloud & Services: AWS, GCP, REST APIs, JSON 🔍 Keywords to find me: RAG, AI & Agentic Systems, AI Agent, Agentic AI, Multi-Agent Systems, LangGraph, LangChain, Model Context Protocol (MCP), Tool Calling, Function Calling, Prompt Engineering, Structured Outputs, OpenAI API, GPT-4, Google Gemini, Anthropic Claude, LLM Integration, Custom AI Solutions. RAG & Vector Retrieval: Retrieval-Augmented Generation (RAG), Vector Database, pgvector, Semantic Search, Embedding Pipelines, Knowledge Retrieval, Document Q&A, PDF Chatbot, Data-Powered Chatbot, Supabase, Pinecone, FAISS. LLMOps & Observability: LLMOps, OpenTelemetry, Grafana, LLM Tracing, AI Observability, AI Monitoring, Message Validation, Moderation API. Enterprise & ERP Integrations: SAP Business One, SAP Service Layer, SAP R/3, Oracle EBS, Microsoft 365, Microsoft Graph API, Jira API, ERP Integration, REST APIs, Webhooks, n8n Automation. Backend & Data Engineering: Python, FastAPI, PostgreSQL, SQL, PL/SQL, Oracle Database, Data Modeling, ETL Pipelines, Data Validation, Stored Procedures, SQL Tuning, Data Warehouse. Cloud & DevOps: AWS, Google Cloud Platform (GCP), Vertex AI, AWS S3, AWS Lambda, Docker, Docker Compose, GitHub Actions, Git, Cloud Automation.