Roman Matveev

AI & Machine Learning · Data Parsing

15 0
5.0
430
Go to profile
Senior Backend & AI Engineer — 15 years in production. I build and rescue production systems end-to-end. I co-founded a taxi marketplace and took it from an empty repo to 2.4M+ orders across 3 countries. Today I'm the engineer clients bring in when a live codebase is messy and can't stop working while it's fixed — whether a human wrote it or an AI did. I default to a staged refactor over a risky rewrite, and I'll tell you honestly which one your project needs. WHAT I DO • Backend & architecture — PHP/Laravel, Node.js, Go, REST APIs, PostgreSQL/MySQL • AI & LLM — multi-agent systems, RAG, LLM…
Kristina

AI & Machine Learning · Python

27 1
5.0
208
Go to profile
Hello! I work with Python development, AI solutions, automation, and data. I help simplify routine processes, process information, set up scripts, prepare data, or create small technical solutions for specific tasks. What I can help with: — Python scripts for automation; — data processing, cleaning, and analysis; — working with Excel, spreadsheets, CSV, and SQL; — basic AI / Machine Learning integration; — Computer Vision, classification, and CNN-related tasks; — parsing, report preparation, and data structuring; — simple web interfaces or technical pages; — design in Figma, prototypes,…
Dmytro Ohorodnik

Python · AI & Machine Learning

43 0
533
Go to profile
Screenshots to recognize spots on images
45 USD
403
Screenshots to recognize spots on images
AI & Machine Learning
The script analyzes the images and searches for the spots on it. Several functions are implemented for comfort.
Recognition of cats and dogs on images
22 USD
1 717
Recognition of cats and dogs on images
AI & Machine Learning
A demonstration program to recognize cats and dogs on the images. Strong neuronal networks. The accuracy is 85-90%. The interface is made on Tkinter.
Vadim Tkachenko

AI & Machine Learning · AI & Machine Learning

1 0
514
Go to profile
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…
Bohdan Havryliuk

AI & Machine Learning · C#

1 0
414
Go to profile
AI Engineer & Full-Stack Developer with 4 years of commercial software development experience and 2 years of hands-on AI systems work. Previously worked as a contractor with Meta and Outlier/Scale AI on evaluation and improvement of large language models. Currently studying BSc Artificial Intelligence at De Montfort University (UK) with a First Class Honours average (71.7%). Specialisation: Backend development — ASP.NET Core, Python, Node.js, PostgreSQL, Redis, REST API, Docker, webhook integrations. AI & LLM engineering — RAG pipelines, agentic systems, Claude and OpenAI API integration,…
Elena Turovskaya

Python · AI & Machine Learning

0 0
240
Go to profile
We’ve been building and evolving complex digital products since 2015. We step in when there’s a strong idea but not enough technical expertise to bring it to life, when an existing team needs additional support, or when a live product requires modernisation, scaling or a more robust architecture. We work with start-ups, growing businesses, established companies and private investors. We can take responsibility for a specific technical area or manage the entire development lifecycle — from initial analysis and solution design through to launch, ongoing development and SLA-based support. Our…
Ivan Sss

Python · AI & Machine Learning

6 0
259
Go to profile
License plate recognition on video
785
License plate recognition on video
AI & Machine Learning
The nomeroff repository was used to implement the project. Nomeroff Net is license plate recognition framework based on YOLOv5 and CRAFT networks and customized OCR-module. The solution was deployed on a remote server.
Binary classification of a concrete
830
Binary classification of a concrete
AI & Machine Learning
Binary classification task: there is an image of a concrete sample. The researcher is trying to determine how much aggregate stone is in this concrete.
Weld pool segmentation from a video
580
Weld pool segmentation from a video
AI & Machine Learning
The project focus is semantic segmentation of an object (weld pool) in video. The neural network architecture used is the U-Net, which is used for image segmentation
Mihaylo Petrikei

AI & Machine Learning · Python

0 0
200
Go to profile
Hello! My name is Mykhailo Petrikei — I’m a young developer from Ukraine specializing in intelligent systems using computer vision, artificial intelligence, and neural networks. I have experience building both local and cloud solutions with graphical user interfaces, real-time image/video processing, and voice control. Achievements:2nd place (overall) at the All-Ukrainian Junior Academy of Sciences research competition (JASU)Represented Ukraine at GENIUS Olympiad (USA, silver), Mostratec (Brazil), KIDE Expo (Taiwan, bronze + special award), INTARG (Poland, silver)Participant of the Sakura…
559 USD
198
DiveGuard - smart system for underwater navigation and communication
AI & Machine Learning
DiveGuard is an innovative system developed by me with elements of artificial intelligence that ensures safe and efficient diver immersion. It combines computer vision technologies, gesture recognition, voice control, speech synthesis, and natural…
Computer vision system for waste recognition
335 USD
188
Computer vision system for waste recognition
AI & Machine Learning
The goal of the project "Computer Vision System for Garbage Recognition (Garbage Eye)" was to create a computer vision system for automatic recognition of garbage in photos, videos, and in real-time video streams. The system is designed for…