You will get AI-Powered Platform Development | AI App | AI-driven Web Application
Top Rated
Project details
AI-Powered Web Platform To Revolutionize Your Business
I specialize in creating AI-powered web platforms designed to streamline operations, enhance user experiences, and deliver actionable insights. Combining advanced machine learning techniques like supervised learning, unsupervised learning, and reinforcement learning with state-of-the-art tools such as TensorFlow, PyTorch, and Keras, I deliver tailored solutions for your unique needs.
With expertise in Python, NumPy, pandas, and Flask, I build robust backends, while tools like OpenCV and YOLO enable precise computer vision applications, including object detection, facial recognition, and image processing.
From natural language processing with NLTK and BERT to image segmentation and time-series forecasting, my AI models are fine-tuned for performance and reliability. Whether you need predictive analytics, fraud detection, or recommendation systems, I deliver high-quality models optimized for deployment and long-term scalability.
Let’s build a platform powered by advanced AI technologies to give your business a competitive edge.
I specialize in creating AI-powered web platforms designed to streamline operations, enhance user experiences, and deliver actionable insights. Combining advanced machine learning techniques like supervised learning, unsupervised learning, and reinforcement learning with state-of-the-art tools such as TensorFlow, PyTorch, and Keras, I deliver tailored solutions for your unique needs.
With expertise in Python, NumPy, pandas, and Flask, I build robust backends, while tools like OpenCV and YOLO enable precise computer vision applications, including object detection, facial recognition, and image processing.
From natural language processing with NLTK and BERT to image segmentation and time-series forecasting, my AI models are fine-tuned for performance and reliability. Whether you need predictive analytics, fraud detection, or recommendation systems, I deliver high-quality models optimized for deployment and long-term scalability.
Let’s build a platform powered by advanced AI technologies to give your business a competitive edge.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, deeplearn.js, Keras, MATLAB, MLflow, Open Neural Network Exchange, OpenCV, PyBrain, PyTorch, TensorFlowAI Development Language
PythonWhat's included $15,000
These options are included with the project scope.
$15,000
- Delivery Time 20 days
- Number of Revisions 1
- AI Model Integration
- Detailed Code Comments
- Knowledge Graph
- Model Documentation
- Ontology
- Source Code
- Taxonomy
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About Pavlo
AI Engineer | Data Scientist | Machine Learning | Computer Vision
100%
Job Success
Kharkiv, Ukraine - 4:39 pm local time
I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case.
As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start.
As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer.
As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read.
On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script.
I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one.
Clients typically work with me when they need:
- an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production
- a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines
- a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product
- a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture
- a Python developer who can own the full stack from model training to deployed API
If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk.
Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.
Steps for completing your project
After purchasing the project, send requirements so Pavlo can start the project.
Delivery time starts when Pavlo receives requirements from you.
Pavlo works on your project following the steps below.
Revisions may occur after the delivery date.
𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲
I start with an in-depth discovery phase to understand your target audience, market trends, and the unique needs of your AI-Powered web application.
𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐐𝐀
During the development phase, I focus on building your AI-driven web app, adhering to the project requirements and scope. My process includes thorough testing to ensure a seamless and responsive user experience across various devices and browsers.