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Mariia M.

Mariia M.

AI / ML Engineer

Verified expert

middle
Ukraine
$35/hour
English – Advanced
Ukrainian – Native
Member since 2022
Top skills
Python FastAPI LangChain PyTorch OpenCV Docker AWS LlamaIndex TensorFlow Redis
Mariia M.
AI / ML Engineer

Verified expert

native
Ukraine
$35/hour
English – Advanced
Ukrainian – Native
Member since 2022

Meet Mariia ✨

An AI/ML Engineer and Back-End Developer with three years of experience delivering advanced AI solutions, automation systems, and data-driven applications. Mariia specializes in integrating large language models and implementing AI-based algorithms for natural language processing, computer vision, and predictive analytics, with a Python-first stack built around FastAPI, LangChain, PyTorch, TensorFlow, and OpenCV.

She has delivered production AI systems across sales intelligence, hospitality security, and marketing automation domains. Her projects include an AI-powered buying committee detection system using LLM prompt chains, PDF parsing, and multi-source data scraping, a real-time computer vision hotel monitoring platform with person detection, tracking, and re-identification across camera views using YOLO, OSNet, and DeepSORT, and an AI social media video automation platform that cleans raw footage and translates it into multiple languages using speech-to-text and text-to-speech AI models.

Mariia works confidently with LangChain, LangGraph, LlamaIndex, Whisper, ElevenLabs, OpenCV, PyTorch, TensorFlow, Scikit-learn, and Streamlit. She builds solid backend infrastructure with FastAPI, SQLAlchemy, Redis, Docker, AWS, and CI/CD via GitHub Actions, and brings automation experience with N8N and Google AppScripts. Her depth in applied AI makes her a standout match for teams building intelligent, real-world AI products.

If you need an AI developer who can architect LLM-powered pipelines, build computer vision systems, and deliver full backend infrastructure for AI-driven products, Mariia brings the expertise to make it happen 🚀

Download the CV

Hard skills

Python

FastAPI

SQLAlchemy

Alembic

Starlette

NumPy

Pandas

Matplotlib

Requests

Aiohttp

Selenium

LangChain

LangGraph

LlamaIndex

PyTorch

TensorFlow

OpenCV

PyTesseract

Pillow

Scikit-learn

Streamlit

Whisper

Faster Whisper

ElevenLabs

Telegram API

Google AppScripts

N8N

SQL

PostgreSQL

MySQL

Redis

Docker

Docker Compose

AWS

Nginx

GitHub Actions

GitHub CI/CD

Async Programming

REST API Development

Technical Documentation

Tools

Git

GitHub

GitLab

Postman

Pytest

Unittest

Mock

Visual Studio

PyCharm

OpenAI API

Anthropic API

Google GenAI

LangSmith

RapidAPI

Apify

PyMuPDF

FAISS

Celery

Poetry

Soft skills

Problem solving

Ownership

Attention to detail

Innovation focus

Team collaboration

Communication

Adaptability

Continuous learning

AI-Based Buying Committee Detection System

AI Developer
Duration:

1 year

Domains:
AI & ML Sales
Project Description:

Built an AI-powered system to identify the Buying Committee within a company's contact base using LLM prompt chains, PDF parsing, and multi-source data scraping. Designed the AI algorithm using LangChain, integrated multiple data scrapers with contact validation via RapidAPI and Apify, implemented PDF document analysis, and delivered interactive analytics and visualizations for users.

Tools & Technologies:

FastAPI, SQLAlchemy, Alembic, Docker, LangChain, OpenAI, Google GenAI, Pydantic, LangSmith, RapidAPI, Apify, AWS, PyMuPDF, asyncio

Computer Vision System for Hotel Monitoring

AI Engineer
Duration:

1 year

Domains:
AI & ML Hospitality Security
Project Description:

Developed a real-time AI hotel monitoring system using surveillance cameras to detect, track, and re-identify individuals across multiple camera views. Trained an OSNet model for person re-identification, built the detection and tracking pipeline using YOLO, OSNet, and DeepSORT, configured Docker for real-time video streaming, and implemented a logging and analytics system for guest movement data.

Tools & Technologies:

OpenCV, PyTorch, Torchreid, OSNet, YOLO, DeepSORT, Torchvision, FAISS, Docker

AI Social Media Automatization

Back-End / AI Developer
Duration:

1 year

Domains:
Marketing
Project Description:

Built backend services for an AI platform that automates clean video creation and multi-language translation for social media. Implemented backend logic for video upload and processing, integrated OpenAI and Anthropic APIs for prompt engineering and content generation, integrated ElevenLabs for text-to-speech, and added DALL-E and Stable Diffusion image generation. Handled error logging and testing throughout.

Tools & Technologies:

Python, FastAPI, SQLAlchemy, Pydantic, OpenAI, Anthropic API, ElevenLabs, DALL-E, Stable Diffusion, Whisper, Nginx, Alembic, Redis, Celery, Poetry

Bachelor's Degree in Computer Science

National Technical University of Ukraine "Kyiv Polytechnic Institute"

Data Science Fundamentals

Provider: DataRoot Labs

Data Science Fundamentals

Provider: DataRoot Labs

Practical Deep Learning with PyTorch

Provider: DataRoot Labs

Practical Deep Learning with PyTorch

Provider: DataRoot Labs

Introduction to Databases for Back-End Development

Provider: Meta

Introduction to Databases for Back-End Development

Provider: Meta

SQL for Data Science

Provider: University of California, Davis

SQL for Data Science

Provider: University of California, Davis
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