You will get AI/ML Project Proposal & Implementation Plan


Project details
I will create a tailored project proposal for your GenAI service, including a step-by-step implementation plan with timeline, recommended tools, and approaches. Drawing on experience with numerous clients, I can design an architecture and suggest state-of-the-art solutions for your case. This proposal can serve as a technical specification for me to implement or as a foundation to align with other AI specialists.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, Anomaly Detection, Conversational AI, Machine Translation, Natural Language Generation, Neural Machine Translation, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, Microsoft 365 Copilot, PyTorch, Streamlit, Word2vecAI Models
ChatGPT, DALL-E, LLaMAWhat's included
| Service Tiers |
Starter
$50
|
Standard
$80
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 1 day |
Number of Revisions | 0 | 0 | 0 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | ||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$40About Artem
LLM & NLP | GenAI | LangChain & RAG | Hugging Face | FastAPI & Docker
Lausanne, Switzerland - 10:46 am local time
Core strengths:
- AI/ML integration: PyTorch, Hugging Face Transformers, LangChain, scikit-learn
- Packaging AI/ML solutions into API services and deploying them with FastAPI, Docker, and CI/CD workflows
- Translating business problems into effective AI/ML solutions
- Industry experience across IT, Banking, MedTech, research labs, and manufacturing
- Leadership and mentoring with a proactive, solution-oriented mindset
- Writing clean, production-level code (7+ years of Python experience, including 3 years at an international IT company)
I’m passionate about harnessing the power of data to drive impact and innovation through AI. Let’s discuss how I can help you transform your business challenges into AI-powered solutions!
Steps for completing your project
After purchasing the project, send requirements so Artem can start the project.
Delivery time starts when Artem receives requirements from you.
Artem works on your project following the steps below.
Revisions may occur after the delivery date.
Consultation
This step, included in the Starter and Advanced packages, is designed to clarify the context, requirements, and business idea. In the Starter package, it also includes a draft project proposal.
Project Proposal
This step, included in the Standard and Advanced packages, covers planning the timeline, evaluating tools, approaches, and existing solutions, and concludes with a detailed project proposal.