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Nataliia P.
Nataliia P.
AI / ML Engineer

Verified expert

Nataliia P.

AI / ML Engineer

Verified expert

lead
$40/hour
English – Advanced
Estonian – Intermediate
Ukrainian – Native
Top skills
AWS Backend Architecture Conversational AI FastAPI LangChain LLM Systems Multi-Agent Systems Python RAG Architecture Voice AI

Meet Nataliia ✨
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 šŸš€

Download the CV

Hard 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 ā€œLviv Polytechnicā€

Master’s 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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