You will get Advanced Deep Learning Models for Medical Imaging
Rising Talent
Project details
Leverage Advanced Deep Learning Models for Medical Imaging to analyze, segment, and interpret clinical images with high accuracy.
I design production-ready AI pipelines for CT, MRI, X-ray, and multi-modal imaging datasets using CNNs, U-Nets, ViTs, or SAM fine-tuning. These systems include preprocessing, augmentation, segmentation, registration, and evaluation metrics — all structured for real-world use or research deployment.
💡 What you get:
• Multi-modal deep learning pipelines
• Segmentation, registration, and predictive analysis
• Explainable AI with attention maps / Grad-CAM
• Evaluation metrics and structured outputs
• Ready for research, clinical, or industrial integration
Ideal for hospitals, research labs, or startups looking to deploy AI-powered imaging solutions with measurable accuracy and insights.
📩 Want an advanced medical imaging AI model? Let’s build it for your dataset!
I design production-ready AI pipelines for CT, MRI, X-ray, and multi-modal imaging datasets using CNNs, U-Nets, ViTs, or SAM fine-tuning. These systems include preprocessing, augmentation, segmentation, registration, and evaluation metrics — all structured for real-world use or research deployment.
💡 What you get:
• Multi-modal deep learning pipelines
• Segmentation, registration, and predictive analysis
• Explainable AI with attention maps / Grad-CAM
• Evaluation metrics and structured outputs
• Ready for research, clinical, or industrial integration
Ideal for hospitals, research labs, or startups looking to deploy AI-powered imaging solutions with measurable accuracy and insights.
📩 Want an advanced medical imaging AI model? Let’s build it for your dataset!
Machine Learning Tools
Keras, NLTK, Open Neural Network Exchange, OpenCV, Python, PyTorch, scikit-learn, Scrapy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,400
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 6 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Dostar
AI/ML Engineer | Gen AI, RAG, LLM | Computer Vision Specialist
Lahore, Pakistan - 2:38 am local time
✅ 50+ LLM & Multimodal AI Projects Delivered
✅ Expert in Real-Time AI & Computer Vision
I am an AI/ML Engineer with 3+ years of experience delivering production-ready AI systems across Generative AI, Computer Vision and real-time multimodal architectures. I help startups and enterprises move AI from prototypes to production with scalable, efficient, and reliable pipelines. I specialize in designing and deploying end-to-end AI solutions, from model development and fine-tuning to cloud deployment and real-time inference.
𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤
Languages: Python, Bash
ML/DL: PyTorch, TensorFlow, Scikit-Learn, XGBoost
LLMs & GenAI: Transformers, LangChain, RAG, OpenRouter, Hugging Face
Computer Vision: YOLOv8, MediaPipe, OpenCV, Vision-Language Models
Speech AI: STT/TTS pipelines, audio processing
Cloud & Infra: AWS EC2 (GPU/CPU), Lambda, S3, Bedrock, Kinesis
MLOps & Tools: CUDA, Git, Linux, Jupyter, CI/CD-ready pipelines
𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱
✔ LLM & RAG Systems (LangChain, OpenRouter, vector databases)
✔ AI Chatbots with structured outputs & deterministic JSON responses
✔ Multimodal AI (Vision + Speech + Language integration)
✔ Real-time Computer Vision systems (YOLOv8, MediaPipe, OpenCV)
✔ Generative AI pipelines (Stable Diffusion, LoRA fine-tuning, text-to-image)
✔ Predictive & Time-Series Modeling (ARIMA, Prophet, Ensemble ML)
✔ Cloud AI Infrastructure (AWS EC2 GPU, Lambda, S3, Bedrock, Streaming APIs)
𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀
✔LLM-Powered RAG Systems
Built domain-specific AI assistants using vector embeddings, schema validation, and structured reasoning pipelines for accurate context-aware responses.
✔AI Smart Surveillance System
Developed real-time detection models (fire, aggression, fall detection) using YOLOv8 with optimized inference and event tracking.
✔Generative AI Monogram System
Fine-tuned Stable Diffusion (full + LoRA) to generate production-ready artistic designs for 3D printing workflows.
✔Medical Image Registration & Segmentation
Applied rigid and affine transformations with mutual information optimization for anatomical CT alignment.
✔Environmental Forecasting Models
Implemented ARIMA and ensemble ML models for pollutant trend prediction and analysis.
📍Looking to build AI systems, LLM-powered assistants or real-time multimodal solutions in weeks, not months? Let’s schedule a 𝗙𝗿𝗲𝗲 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻, your AI partner is just a message away! ✉️
Steps for completing your project
After purchasing the project, send requirements so Dostar can start the project.
Delivery time starts when Dostar receives requirements from you.
Dostar works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
We define your imaging modalities, dataset types, and output goals.
Pipeline Design
Design multi-step preprocessing, augmentation, and model architecture.