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  1. Freelancers

Vadim Tkachenko

Offer Vadim work on your next project.

Ukraine Kharkiv, Ukraine
4 months 18 days back
Available for hire available for hire
1 Safe completed
7 months 7 days back
1 client
age 20 years
on the service 5 years
Freelancer Vadim T. — Ukraine, Kharkiv. Core skill — AI & Machine Learning, AI & Machine Learning

Rating

Successful projects
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Average rating
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Rating
691
AI & Machine Learning
46 place out of 2838
AI & Machine Learning
46 place out of 2838

Language proficiency level

Українська Українська: fluent
English English: intermediate

CV

Hi, i am a Machine Learning Engineer with one year of hands-on experience in AI and a solid background as a Full-Stack Developer. I design, build, and deploy intelligent systems across multiple domains, including Large Language Models (LLMs) with LangChain, AI-powered assistants, Computer Vision (CV), Natural Language Processing (NLP), Optical Character Recognition (OCR), and Deep Learning applications.

I have experience creating end-to-end ML pipelines, from data preprocessing and model training to deployment and integration with web and mobile applications. My background in full-stack development allows me to bridge the gap between AI models and production systems, ensuring scalable, high-performance solutions. I am comfortable working with Python, TensorFlow, PyTorch, FastAPI, and cloud platforms, and I excel at turning complex AI concepts into practical tools for businesses.

As a freelancer, I focus on delivering tailored AI solutions that solve real-world problems, whether it’s building chatbots, automating data extraction, enhancing image recognition systems, or integrating intelligent features into existing applications. I combine technical expertise with a problem-solving mindset, delivering projects on time and with high quality.

Skills and abilities

Programming

Photo, Audio & Video

Portfolio


  • Face Shape Detection Web Application

    AI & Machine Learning
    A modern, AI-powered web application that analyzes facial features to determine face shapes using computer vision and machine learning. Built with Flask, MediaPipe, and OpenCV, featuring a sleek glassmorphism UI design.

  • Hand Gesture Mouse Control

    AI & Machine Learning
    A real-time hand tracking application that allows you to control your computer mouse using hand gestures captured through your webcam. Built with OpenCV, MediaPipe, and AutoPy.

  • Fashion-MNIST CNN Classifier

    AI & Machine Learning
    Convolutional Neural Network implementation for classifying Fashion-MNIST dataset images using PyTorch. This project includes comprehensive training analysis, visualization, and performance monitoring capabilities.

  • Virtual Paint Application

    AI & Machine Learning
    A computer vision-based virtual painting application that allows you to draw in the air using hand gestures detected through your webcam.

  • MNIST Image Classification

    AI & Machine Learning
    This project implements three different classification models for the MNIST dataset using Object-Oriented Programming, including a Random Forest, a Feed-Forward Neural Network, and a Convolutional Neural Network. Each model follows a common interface called MnistClassifierInterface, which defines two methods, train for training the model on the provided dataset and predict for generating labels on the test dataset, while a wrapper class named MnistClassifier makes it possible to switch between models through an input parameter.

  • Named Entity Recognition + Image Classification

    AI & Machine Learning
    This project focuses on building a machine learning pipeline that combines two different tasks, Named Entity Recognition to extract animal names from text and Image Classification to classify animals in images, with the main goal of taking a user-provided text and an image and determining if the text description of the image is accurate.

  • Clustering audio

    AI & Machine Learning
    Clustering audio by groups.

  • MindEasy - AI Therapy Chatbot

    AI & Machine Learning
    MindEasy is a full-stack web application that provides AI-powered therapeutic conversations. Built with React (frontend) and Python FastAPI (backend), it offers a clean, intuitive interface for users to interact with an AI therapist powered by multiple AI models with the ability to switch between different models during conversations.

  • Real Estate Price Assistant

    AI & Machine Learning
    A hybrid machine learning and large language model (LLM) system for real estate price prediction from natural language queries. The assistant uses an XGBoost regression model, and Google's Gemini 2.5 Flash API for natural language parsing and explanation generation, wrapped in a Gradio-based UI.

  • AI assistant

    AI & Machine Learning
    A modern AI assistant featuring voice control, code generation. Built with Python and PyQt6, providing a seamless and intuitive interface for AI-powered tasks.

  • Hotel Reservation Prediction - MLOps Pipeline

    AI & Machine Learning
    An end-to-end machine learning operations (MLOps) pipeline to predict whether hotel customers will honor or cancel their reservations. This project demonstrates production-ready ML deployment with comprehensive experiment tracking, automated CI/CD, and scalable cloud infrastructure.

  • Student Performance Prediction System

    AI & Machine Learning
    A machine learning web application that predicts student math scores based on various demographic and academic factors using Flask and scikit-learn.

  • TuTube - YouTube Analyzer

    AI & Machine Learning
    TuTube is a desktop application that allows you to analyze YouTube videos by downloading their audio, transcribing the content, and generating AI-powered analysis using ChatGPT. The application features a modern, dark-themed UI built with PyQt5 and provides an intuitive way to process YouTube content.

  • Artifact Detection in Generated Images

    AI & Machine Learning
    This project implements a binary classification system to detect artifacts in AI-generated images. The system identifies various artifacts including distorted text, unnatural hands and fingers, face mask remnants, tattoos, misaligned eyes, and other visual anomalies that might appear in generated images.

  • Emotion Recognition CNN

    AI & Machine Learning
    A deep learning project for facial emotion recognition using Convolutional Neural Networks (CNN) built with TensorFlow/Keras.
Show more 2 jobs

Reviews and compliments on completed projects 1

25 October 2025 300 USD
WhatsApp Chatbot Developer for Coaching

Quality
Professionalism
Cost
Contactability
Deadlines

I had a great experience working with this freelancer. His availability was excellent — always responsive and easy to communicate with throughout the project. He handled tasks efficiently, showed great attention to detail, and delivered everything on time.

Michael K. | Safe Safe | Response review

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