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Muhammad U.

Muhammad U.

Data Scientist

Welcome! I'm Usman, a Top-Rated Data Scientist and MLOps Engineer with over 5 years of hands-on experience, specializing in architecting and deploying Generative AI and high-accuracy predictive systems. I transform complex business challenges—from supply chain volatility to customer segmentation—into automated, production-ready AI solutions. My expertise spans large language models (LLMs), multi-agent systems, advanced forecasting techniques, and end-to-end model deployment across major cloud platforms. Generative AI and Multi-Agent Architecture My expertise goes beyond basic prompt-writing. I specialize in developing robust LLM applications using Retrieval Augmented Generation (RAG) architecture, leveraging tools like LangChain and OpenAI/Azure AI embeddings for factually reliable answers based on your private data. Crucially, I design Multi-Agent Systems using frameworks like crewAI and workflow automation with n8n. This enables me to build teams of specialized AIs that automate complex decision chains, such as streamlining IT incident triage or optimizing complex financial analysis. I have direct experience launching LLM services using AWS Bedrock and Azure's AI services. Advanced Predictive Analytics and Computer Vision I am a certified expert in Time Series Forecasting, delivering models that significantly outperform simple methods. I use a combination of statistical power (ARIMA, SARIMAX) and advanced machine learning techniques (XGBoost, AutoGluon) to deliver highly accurate Demand Forecasting for sales and supply chain management. Furthermore, my skill set includes comprehensive Computer Vision and OCR solutions for digitizing content from documents, implementing real-time object detection (YOLO), and even working with advanced Generative Adversarial Networks (GANs) for applications like virtual try-ons. Cloud Expertise, MLOps, and Business Impact My solutions are built for enterprise scale. I am a cloud-native MLOps expert, designing and deploying end-to-end pipelines on both Azure (specifically AzureML, Databricks, and ADF) and AWS (including Bedrock, SageMaker, and Lambda). I ensure every project is MLOps-ready, delivered with Docker and robust APIs. My work is defined by measurable results: I have increased revenue by 46% for major financial institutions through automated forecasting and reduced alert noise by 90% via agent-based clustering. If you are seeking a seasoned architect to deploy reliable, high-impact AI at scale, let's connect. LLM Expert, Generative AI, RAG pipeline, LangChain development, crewAI, Multi-Agent Systems, Time Series Forecasting, Demand Forecasting, Sales Prediction, XGBoost, AutoGluon, SARIMAX, MLOps, AzureML, Databricks, AWS Bedrock, AWS SageMaker, Computer Vision, Custom OCR, Deep Learning, Financial Analytics, Supply Chain Optimization, Production-Ready AI, Data Science Consultant, Python.

🇵🇰Karachi, Pakistan$50/hr100% JSS4.37 (9)Since Dec 2020

Earnings and projects

MRR (estimate)
≈$0

An estimate from an earlier read

World#235,333 / 412k
🇵🇰Country#26,446 / 52.9k
Revenue, last 30 days
$0
Total earnings
$6.3k

Billed in all: $6.4k

World#235,333 / 412k
🇵🇰Country#26,446 / 52.9k
Per project
$572
Projects, last 6 months
0
World#209,850 / 412k
🇵🇰Country#32,103 / 52.9k
Projects in all
11

Across 12 contracts

58% fixed42% hourly
World#192,417 / 412k
🇵🇰Country#31,747 / 52.9k

Earnings, last 30 days

$6.4kNothing earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$6.3k$6.4k$6.5k$6.6kOct 9Oct 24Nov 8

No data since Nov 5, 2026.

Skills