Nataliia P.
Verified expert
Nataliia P.
Verified expert
Top skills
Meet Nataliia āØ
An AI/ML Engineer and Back-End Developer with 5.5 years of experience building production-ready AI systems powered by LLMs, RAG pipelines and multi-agent workflows. Nataliia specializes in designing real-world conversational and voice AI solutions that integrate seamlessly into backend services and business processes. She works confidently with FastAPI, LangChain, LangGraph and LlamaIndex, deploying scalable architectures on AWS and GCP.
She has delivered complex AI platforms including enterprise knowledge graph systems, multi-channel AI sales automation with real-time voice interaction, modular AI ecosystems for data processing, and secure conversational assistants with memory and fine-tuned LLM models. Her expertise spans backend architecture, CRM integrations, real-time streaming pipelines, and scalable multi-agent orchestration designed for production environments.
Nataliia combines strong architectural thinking with hands-on implementation. She often takes a leading role in AI projects, defining system design, ensuring scalability, and guiding how AI capabilities are embedded into the product.
If you are building advanced AI-driven systems and need someone who can architect, implement and scale LLM-based solutions that work reliably in production, Nataliia brings the depth, experience and technical ownership your team can rely on š
Download the CVHard skills
Python
FastAPI
Django
Flask
SQLAlchemy
Async Programming
REST API Development
RAG Pipelines
Multi-Agent Workflows
LLM Fine-Tuning
Prompt Engineering
Conversational AI
Voice AI Systems
Speech-to-Text
Text-to-Speech
Knowledge Graphs
OCR Pipelines
Graph Databases
PostgreSQL
MySQL
Redis
Docker
AWS
GCP
WebSockets
Celery
RabbitMQ
CRM Integrations
Cloud Deployment
Tools
LangChain
LangGraph
LlamaIndex
OpenAI Realtime
Whisper
Faster Whisper
ElevenLabs
AWS Bedrock
AWS Sagemaker
AWS Textract
Mistral LLM
ChromaDB
FAISS
Neo4j
NetworkX
GoHighLevel
Airtable
Twilio
Docker Compose
GitHub Actions
Pytest
Soft skills
Leadership
Architectural thinking
Ownership
Analytical mindset
Communication
Decision making
Problem solving
Adaptability
Technical mentoring
Strategic thinking
AI Knowledge Graph Platform
AI & ML Engineer | Back-End Developer
Project Description:
Designed and built an AI-powered enterprise knowledge graph platform that serves as a persistent organizational memory. Implemented MCP-based connectors, schema validation systems, entity resolution pipelines and large-scale graph optimization with strict tenant-level isolation.
Tools & Technologies:
FastAPI, Python, GraphRAG, PostgreSQL, Neo4j, NetworkX, MCP, MindsDB
Multi-Channel AI Voice & Chat Sales System
AI Engineer | Back-End Developer
Project Description:
Developed a multi-bot AI system combining web chatbot, outbound calling, real-time browser voice bot and CRM automation. Implemented real-time conversational logic, OpenAI Realtime integration and deep GoHighLevel CRM synchronization.
Tools & Technologies:
OpenAI Realtime, LlamaIndex, ChromaDB, GoHighLevel, Twilio, ElevenLabs, AWS S3, Redis, FastAPI, Docker
AI Receptionist
AI Engineer | Back-End Developer
Project Description:
Built a real-time AI voice assistant with CRM automation, appointment scheduling and post-call transcript storage. Integrated Airtable, GoHighLevel, SMS, email workflows and optional ElevenLabs TTS.
Tools & Technologies:
OpenAI Realtime, FastAPI, AWS S3, Airtable, Twilio, ElevenLabs, Docker
Modular AI Platform for Data & Intelligent Services
Back-End Engineer | AI Engineer
Project Description:
Developed a modular AI ecosystem combining conversational orchestration, multi-agent workflows, graph analytics and OCR-driven document processing. Focused on scalability, isolation and real-time concurrent interactions.
Tools & Technologies:
Python, FastAPI, PostgreSQL, Redis, Celery, RabbitMQ, WebSockets, LlamaIndex, OpenAI, AWS Textract, Mistral LLM
Mental Health Chatbot
AI & ML Engineer | Back-End Developer
Project Description:
Built a secure conversational AI system with streaming STT/TTS, memory integration and LLM fine-tuning for therapeutic dialogue simulation.
Tools & Technologies:
Python, FastAPI, Whisper, ElevenLabs, LangChain, AWS Bedrock, PostgreSQL, Docker
Sales Bot
Back-End Developer
Project Description:
Developed AI-based filtering and automation system for sales optimization. Implemented async processing, cloud deployment and multi-platform message automation.
Tools & Technologies:
Python, Starlette, Selenium, AWS, GCP, Django, SQLAlchemy, PostgreSQL, Docker
National University āLviv Polytechnicā
Masterās Degree in International Economy
AI Practitioner
Provider: AWS
AI Practitioner
Provider: AWS
Cloud Practitioner
Provider: AWS
Cloud Practitioner
Provider: AWS
Python Course
Provider: Mate Academy
Python Course
Provider: Mate Academy
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