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Mariia M.
🇺🇦Ukraine
Created AtUpstaffer since May, 2026
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Mariia M. — AI/ML Engineer / Back-End Developer

Expertise in AI and Machine Learning (3.5 yr.), Back-End Web (3.5 yr.).

 Last verified on May, 2026

Core Skills

Python
Python
3 yr.
FastAPI
FastAPI
3 yr.
SQLAlchemy
SQLAlchemy
2 yr.
Docker
Docker
2 yr.
Redis
Redis
1 yr.

AI Tools & Assistants

Claude
Claude
1 yr.

Bio Summary

  • AI/ML Engineer with 3.5 years of experience specializing in Python, FastAPI, PyTorch, TensorFlow, and OpenCV for developing real-time AI solutions including video avatars, hotel monitoring, and social media automation.
  • Proficient in asynchronous programming, API integration, CI/CD pipelines (GitHub Actions), and cloud deployment on AWS, ensuring scalable and efficient back-end systems.
  • Expertise in LLM prompt chain algorithms, multi-source data scraping, and AI-driven analytics for business intelligence and sales optimization.
  • Holds a Bachelor’s degree in Computer Science and certified in Practical Deep Learning with PyTorch and SQL for Data Science

Technical Skills

Programming Languages Python
Python Libraries and Tools aiohttp, Alembic, AsyncIO, Matplotlib, NumPy, Pillow, poetry, PyTesseract, pytest, Scikit-learn, Streamlit
AI & Machine Learning Claude, ElevenLabs, Faiss, LangChain, LangGraph, LlamaIndex, n8n, NumPy, OpenAI, PandasAI, Scikit-learn, Whisper, YOLO
Python Frameworks FastAPI, Starlette
Data Analysis and Visualization Technologies PandasAI
Databases & Management Systems / ORM MySQL, PostgreSQL, Redis, SQLAlchemy
Cloud Platforms, Services & Computing AWS
Industry Domain Experience e-commerce
Message/Queue/Task Brokers Celery
Virtualization, Containers and Orchestration Docker
SDK / API and Integrations FastAPI, Google API, Python Requests Library, Telegram API
Version Control Git, Github Actions
Deployment, CI/CD & Administration GitLab CI
UI/UX/Wireframing Microsoft Visio
QA, Test Automation, Security Mock, Postman, pytest, Selenium, Unit Testing
Web/App Servers, Middleware Nginx
Third Party Tools / IDEs / SDK / Services PyCharm, Visual Studio
Methodologies, Paradigms and Patterns UML
Other Technical Skills Logger, Stable Diffusion

Work Experience

AI/ML Engineer (Interactive Real-Time Video Avatar with Lip-Sync)

Duration: 0.5 years
Summary:
  • Built an AI-powered real-time video avatar capable of natural interaction with users, featuring precise lip-sync aligned to generated or user-provided speech
  • The system combined face animation models, audio-to-visual synchronization, and dynamic response generation, enabling the avatar to hold live, human-like conversations
  • Integrated speech synthesis, real-time rendering, and dialogue management to deliver smooth and responsive user experiences
Responsibilities:
  • Developed a live animated video avatar supporting real-time interactions with accurate lip-sync;
  • Integrated audio-driven facial animation models to map phonemes to mouth shapes and facial expressions;
  • Designed and implemented a custom LiveKit plugin to integrate the internal avatar worker into the LiveKit ecosystem and enable seamless interoperability with LiveKit voice agents;
  • Built real-time communication pipelines between the avatar worker and LiveKit rooms, including synchronized audio streaming, session orchestration, and avatar state management;
  • Built APIs and orchestration logic to manage conversations, avatar states, and user context.
Technologies: Python, FastAPI, PyTorch, OpenCV, Livekit, SyncTalk, InfiniTalk, RunPod, Librosa, aiortc, ElevenLabs, Groq, WebRTC, FFMPEG, Docker, GPU acceleration

AI Developer (AI-Based Buying Committee Detection System)

Duration: 1 year
Summary:
  • The project aimed to identify the Buying Committee within a company’s contact base using AI
  • The system provides a complete toolset to achieve this goal, including PDF parsing and AI-driven analysis to generate detailed company profiles
  • It integrates a scraping system that aggregates data from multiple sources via API requests
  • The core functionality involves finding the Buying Committee through a custom algorithm built on LLM prompt chains, followed by result validation
  • Additionally, the system offers analytics and visualizations for users in the form of interactive charts
Responsibilities:
  • Designing an AI algorithm based on LLM prompt chains;
  • Parsing and validating LLM responses;
  • Integrating multiple data scrapers using API requests;
  • Building a unified scraping system with contact validation;
  • Developing an algorithm for analyzing parsed PDF documents.
Technologies: FastAPI, SQLAlchemy, Alembic, Docker, LangChain, OpenAI, Google GenAI, Pydantic, LangSmith, RapidAPI, Apify, AWS, PyMuPDF, asyncio

AI Engineer (Computer Vision System for Hotel Monitoring)

Duration: 1 year
Summary:
  • Developed an AI-powered hotel monitoring system based on surveillance cameras
  • The system detects people in a video stream, tracks their movements, identifies individuals, and performs re-identification to recognize the same person even when appearing in different camera views
  • It also collected and processed data to generate analytics about guest movement across different hotel zones, helping automate monitoring, track visitor flows, and improve space management and hotel security
Responsibilities:
  • Training OSNet model for person re-identification;
  • Collecting and cleaning datasets for training;
  • Developing an algorithm based on YOLO, OSNet, and DeepSORT for people monitoring;
  • Configuring Docker for real-time streaming;
  • Implementing logging and analytics system.
Technologies: OpenCV, PyTorch, Torchreid, OSNet, YOLO, DeepSORT, Logger, Torchvision, FAISS

Back-End/AI Developer (AI Social media automatization)

Duration: 1 year
Summary:
  • Automatization of clean video creation (full and shorts for social media) and translation using AI
  • The user provides a raw video and a text script containing time markers of the chapters, blooped cuts, camera changes, etc
  • This video is cleaned automatically
  • Video is translated into specified foreign languages using AI speech-to-text and text-to-speech technologies
  • As a result, clean videos in all the needed languages are rendered
Responsibilities:
  • Back-end development;
  • Back-end logic for video upload;
  • OpenAI integration;
  • Prompt engineering;
  • ElevenLabs integration;
  • DALL-E / Stable Diffusion image generation;
  • Testing;
  • Error Handling.
Technologies: Python, FastAPI, SQLAlchemy, Pydantic, OpenAI, Anthropic API, ElevenLabs, DALL-E, Stable Diffusion, Whisper, Nginx, Alembic, Redis, Celery, Poetry

Education

  • Bachelor’s degree in Computer Science
    National Technical University of Ukraine 'Kyiv Polytechnic Institute'

Certification

  • DATA SCIENCE FUNDAMENTALS
    DataRoot Labs
  • Practical Deep Learning with PyTorch
    DataRoot Labs
  • Introduction to Databases for Back-End Development
    Meta
  • SQL for Data Science
    University of California, Davis

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