You will get a deep learning based object detection and segmentation Mask R-CNN
Project details
You will get a smoothly working solution for object detection and segmentation. With 3+ year of experience in machine learning research and development, I deeply care to help you with your machine learning problem.
What's included $200
These options are included with the project scope.
$200
- Delivery Time 14 days
- Number of Revisions 1
- Number of Model Variations 2
- Number of Scenarios 3
- Number of Graphs/Charts 4
- Model Validation/Testing
- Data Source Connectivity
- Source Code
About Muhammad
AI/ML Engineer | Agentic Systems, RAG Pipelines, LLM Integration
Gujrat, Pakistan - 1:05 am local time
What I can build for you:
• RAG systems over your documents and databases (hybrid retrieval, SQL agents, citations)
• Multi-agent workflows using LangGraph, LangChain, and FastAPI microservices
• LLM integrations with AWS Bedrock, Azure OpenAI, and OpenAI APIs
• End-to-end ML pipelines (forecasting, recommenders, computer vision)
Stack: Python, LangGraph, LangChain, LLMs, FastAPI, AWS (Bedrock, Lambda, Comprehend, Textract, SageMaker, S3), Azure OpenAI, Pinecone/FAISS, Kafka, Docker.
Previous roles: Sr. Data Scientist at Algomus and Shopistan. I've delivered 7 successful Upwork contracts (BigQuery, Superset, Data Studio) — happy to extend that track record into your AI build.
Open to a quick call to discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Will ask user about the data sources and type of data available.
Data Annotation
Will label the data.