You will get Machine Learning Consultation for LLM, RAG, Computer Vision Systems
Rising Talent
Rising Talent
Project details
Is Your Business Ready for AI or Are You Just Guessing?
What You Get in One Consultation:
1. AI Roadmap & Feasibility Check: We'll assess whether your problem is solvable with ML and identify exactly what data you'll need to get there.
2. High-Level Architecture & Tools: We'll match you with the right stack - open-source vs. API-based solutions (OpenAI, Anthropic, etc.) - so you don't overpay as you scale.
3. Cost & Time Estimation: A realistic budget and timeline breakdown for both MVP and full product stages.
4. Risk Mitigation: We'll surface the hidden bottlenecks early - model hallucinations, data privacy concerns, and integration risks.
5. Quick Tech Audit: A rapid review of your existing code or data to gauge how AI-ready your current setup really is.
Walk away with a clear plan, a realistic budget, and zero wasted time.
Book your session today - and know exactly where you stand before you build.
What You Get in One Consultation:
1. AI Roadmap & Feasibility Check: We'll assess whether your problem is solvable with ML and identify exactly what data you'll need to get there.
2. High-Level Architecture & Tools: We'll match you with the right stack - open-source vs. API-based solutions (OpenAI, Anthropic, etc.) - so you don't overpay as you scale.
3. Cost & Time Estimation: A realistic budget and timeline breakdown for both MVP and full product stages.
4. Risk Mitigation: We'll surface the hidden bottlenecks early - model hallucinations, data privacy concerns, and integration risks.
5. Quick Tech Audit: A rapid review of your existing code or data to gauge how AI-ready your current setup really is.
Walk away with a clear plan, a realistic budget, and zero wasted time.
Book your session today - and know exactly where you stand before you build.
Machine Learning Tools
GPT-3, NumPy, OpenCV, pandas, Python, PyTorch, SQL, TensorFlowWhat's included $5
These options are included with the project scope.
$5
- Delivery Time 1 day
- Number of Revisions 0
2 reviews
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DB
Daria B.
May 11, 2026
URGENT: AWS DevOps Engineer Needed ASAP
The team did an excellent job. They started immediately, handled the AWS infrastructure fixes, CI/CD, Docker/Kubernetes, and production troubleshooting fast and professionally.
Communication was quick throughout the weekend; they stayed on top of every issue, and everything was delivered on time under a very tight deadline.
I was so happy with the result that I added a $100 bonus for the team. Highly recommend if you need reliable DevOps engineers who can move fast without constant supervision.
Communication was quick throughout the weekend; they stayed on top of every issue, and everything was delivered on time under a very tight deadline.
I was so happy with the result that I added a $100 bonus for the team. Highly recommend if you need reliable DevOps engineers who can move fast without constant supervision.
SK
Svitlana K.
Apr 20, 2026
AI Machine learning engineer with Python, LLM, Data Processing
We worked on a small test task first and everything went really smooth. He quickly got into the requirements, handled the data pipeline, APIs, and LLM integration without any issues, even with messy / semi-structured data.
Kept things simple, no overengineering, but still delivered clean structured output (JSON, ready to use). Communication was easy, moved fast, and overall just reliable.
I’ll definitely hire him again for a full project soon. If you need someone for Python / data processing / LLM work, go for him.
Kept things simple, no overengineering, but still delivered clean structured output (JSON, ready to use). Communication was easy, moved fast, and overall just reliable.
I’ll definitely hire him again for a full project soon. If you need someone for Python / data processing / LLM work, go for him.
About Tsimafei
Machine Learning Engineer & DevOps Engineer | AI ML Python AWS
100%
Job Success
Bialystok, Poland - 12:09 pm local time
I work as a Machine Learning Engineer, AI Engineer, DevOps Engineer, and Python Developer delivering production Machine Learning systems and AI solutions using Python, with a strong focus on LLM, RAG systems, Computer Vision, and full MLOps / DevOps infrastructure. I operate with a team of 90+ engineers across Machine Learning, DevOps, and Backend, delivering complex Machine Learning and AI systems end-to-end, from data pipelines to deployed, monitored, and scaled systems in production for US and European clients.
I'm a Machine Learning Engineer, AI Engineer, and Python Developer with 10+ years of experience building Machine Learning systems and AI solutions using Python for SaaS, fintech, manufacturing, and enterprise companies. As a Machine Learning Engineer, I combine Python, Deep Learning, NLP, Computer Vision, and LLM technologies to build scalable, production-grade Machine Learning systems that solve real business problems.
💻 As a Machine Learning Engineer, AI Engineer, and RAG Developer, I build RAG systems and Retrieval-Augmented Generation pipelines using Python, vector databases, semantic search, and knowledge retrieval systems integrated into production workflows. As a Machine Learning Engineer working with RAG pipelines, I design systems connected to SQL databases, CRMs, and internal knowledge bases. One Machine Learning-powered RAG system reduced support workload equivalent to 3 full-time employees, cutting response time from hours to seconds. As an AI Agent Developer using LangGraph and CrewAI, I build multi-agent Machine Learning systems where each agent handles retrieval, reasoning, and execution in a single production pipeline.
🤖 As a Machine Learning Engineer, AI Engineer, and LLM Developer, I deliver end-to-end LLM integration using Python and models like GPT-4/5, Claude, LLaMA, and Mistral. I build AI agents, AI copilots, and Machine Learning-driven automation systems integrated into enterprise workflows. As a Machine Learning Engineer, I handle prompt engineering, context engineering, embedding pipelines, vector databases like Pinecone, Weaviate, and Chroma, and optimization of Machine Learning and RAG systems in production environments.
👁️ As a Machine Learning Engineer and Computer Vision Engineer, I develop Computer Vision systems using Python, YOLOv8, Detectron2, and OpenCV for object detection, segmentation, and real-time analytics. I delivered a Machine Learning system that replaced manual inspection in manufacturing and reduced defect escape rate to near zero. I also build Document AI systems using OCR tools like Textract and Google DocAI, including full Machine Learning pipelines for processing noisy and unstructured data.
🧠 As a Machine Learning Engineer and NLP Engineer, I build Machine Learning systems using Python for Named Entity Recognition, text classification, semantic search, multilingual NLP, question-answering systems, sentiment analysis, and topic modeling. I combine traditional Machine Learning approaches with LLM technologies to deliver production-ready language systems.
⚙️ As a Machine Learning Engineer, MLOps Engineer, and DevOps Engineer, I design, deploy, and scale Machine Learning systems in production using Python and cloud infrastructure. I build Machine Learning and AI infrastructure with Kubernetes, Docker, Terraform, Ansible, Jenkins, Kafka, Grafana, Prometheus, and NGINX across AWS, Google Cloud, and Azure. In one DevOps and Machine Learning case, deployments scaled from 1 per month to 120 per month, deployment time decreased by 85%, and infrastructure costs were reduced by 55%. As a Machine Learning Engineer and DevOps Engineer, I don't just build models - I deploy, monitor, optimize, and scale Machine Learning systems in real environments.
I build Machine Learning systems using Python, AI solutions, LLM applications, RAG systems, Computer Vision pipelines, NLP systems, and scalable MLOps / DevOps infrastructure that works in production. If you're looking for a Machine Learning Engineer, AI Engineer, Python Developer, or DevOps Engineer who understands Machine Learning systems, DevOps infrastructure, and real business workflows - you're in the right place.
🚀 If you're building or scaling a Machine Learning or AI product and need a Machine Learning Engineer, Python Developer, or DevOps Engineer who can design, build, deploy, and scale real production systems - not just prototypes - I can help. Most clients come when their Machine Learning systems are slow, unstable, or not delivering results. I redesign, optimize, and turn them into scalable Machine Learning and AI systems powered by Python and reliable DevOps infrastructure.
📩 Send me a message with your current setup, and I'll tell you what's missing, what can be improved, and whether your Machine Learning system is ready for prod
Steps for completing your project
After purchasing the project, send requirements so Tsimafei can start the project.
Delivery time starts when Tsimafei receives requirements from you.
Tsimafei works on your project following the steps below.
Revisions may occur after the delivery date.
Jump on a call to discuss the project and what are the best steps to take
Also, you can ask anything about Machine Learning, AI, RAG and LLM Systems.