You will get ML Engineer for X-ray Detection application for you
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Project details
As an AI Developer, I created a web-based Chest X-ray Detection application using Streamlit and a pre-trained YOLO model—delivering an accessible AI/Machine Learning solution for medical image analysis. The app allows users to upload chest X-ray images, instantly generating predictions that display the identified condition label along with its confidence score. This project showcases practical ML Engineer capabilities in deploying real-time, image-based diagnostic tools.
What's included $17,000
These options are included with the project scope.
$17,000
- Delivery Time 30 days
- Number of Revisions 0
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GetTrusted Verification D.
Apr 24, 2025
We need AI Agent Architect consulting for Tech SaaS (RAG, LLMs, Privacy-First Architecture)
About Sergii
AI Developer | AI Machine Learning | ML Engineer | AI/ML | LLM | 10Y+
91%
Job Success
Dnipro, Ukraine - 3:08 pm local time
🚀 Core Expertise
🔹 NLP & Large Language Models
Fine-tuning GPT-4, LLaMA, Falcon, Mistral for domain-specific use cases (legal, medical, e-commerce).
Case: Improved contract analysis accuracy by 40% for a legal tech firm via GPT-4 fine-tuning.
🔹 Custom AI Chatbots & Agents
Built with LangChain, LangServe, AWS Bedrock, vector databases (Pinecone, FAISS, Qdrant).
Case: Developed an e-commerce support chatbot that boosted user satisfaction by 20%.
🔹 AI-Powered Automation
Workflow automation with Make, Zapier, n8n.
Case: Automated retail inventory tracking → reduced stock-outs by 30%.
🔹 Recommendation Engines
Experience with AWS Personalize, GCP Vertex AI, bespoke ML models.
Case: Designed a recommender system for a streaming platform → engagement increased by 25%.
🔹 Computer Vision & Generative AI
Stable Diffusion for custom image generation, object detection, visual asset creation.
Case: Delivered marketing visuals for an agency → reduced design costs by 40%.
🔹 Advanced Analytics & Forecasting
Sentiment analysis, clustering, time-series forecasting.
Case: PyTorch forecasting model for logistics → 95% accuracy in demand prediction.
🛠️ Tools & Technologies
Frameworks & Libraries: PyTorch, TensorFlow, Keras, Scikit-learn, HuggingFace, LangChain, FastAPI, Flask, Django
Vector Databases: Pinecone, FAISS, Qdrant, Milvus, Azure CosmosDB
Cloud & Deployment: AWS SageMaker, GCP Vertex AI, Azure ML, RunPod, Triton Inference Server, TorchServe, BentoML, MLflow, ONNX
Voice & AI Agents: Amazon Polly, Deepgram, CrewAI, OpenAI Swarm
Automation: Zapier, Make, n8n
🏆 Notable Achievements
60+ AI/ML projects delivered (4,000+ Upwork hours, 5⭐ client feedback).
Designed fraud detection system with AWS SageMaker → reduced fraud by 15%.
Migrated PyTorch models to ONNX Runtime → cut infra costs by 25%.
Built an AI voice assistant for telecom → improved support resolution rates by 25%.
Consistent record of increasing engagement, efficiency, and automation by 25–40% across industries.
💡 Why Work With Me?
Deep AI/ML expertise: From fine-tuning LLMs to deploying production-ready AI.
Business impact focus: Every solution is tied to measurable outcomes.
End-to-end delivery: Ideation → model development → deployment → monitoring.
Reliable partner: Clear communication, timely delivery, and client-first mindset
📬 Let's Transform Your AI Ideas Into Real Business Results
Ready to put AI to work for your business? Whether you want to embed AI into your product, streamline complex workflows, or roll out LLM-powered solutions, I can bring it to life. Let's team up and turn your vision into a reliable, scalable AI system that delivers genuine, measurable impact — reach out today and let's build something exceptional together.
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After purchasing the project, send requirements so Sergii can start the project.
Delivery time starts when Sergii receives requirements from you.
Sergii works on your project following the steps below.
Revisions may occur after the delivery date.
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