Umair M.

I build full-stack web applications, AI agents, and data-driven systems that help businesses automate workflows, connect their tools, and turn data into actionable insights. 🏅 Expert-Vetted | 10+ years of experience | 17,000+ hours on Upwork | Full-time availability | Verifiable projects My expertise combines Full Stack Web Development, AI Automation, Data Science, and Data Management. I help businesses build AI-powered applications, improve data-driven operations, and support business performance through practical process optimization. 👉 Full Stack Web Development Web applications, APIs, and connected systems, from frontend interfaces to backend development and deployment. • Frontend: React.js, Next.js, Angular, JavaScript (ES6, ES7), TypeScript, HTML5, CSS, SASS, LESS • Backend: Node.js, Nest.js, Express.js, Python • MERN Stack: MongoDB, Express.js, React.js, Node.js • APIs and integrations: RESTful APIs, GraphQL, Apollo • State management: Redux, Redux Saga, Redux Toolkit • Charts and dashboards: D3, Highcharts, Recharts 👉 AI Automation, AI Agents & Apps AI solutions that connect business data with applications and workflows. • AI applications: AI agents, AI assistants, chatbots, and workflow automation • Audio and video processing: Audio/video transcription and speech-to-text • Models, platforms, and tools: GPT-4o, ChatGPT, Claude, Mistral, Perplexity • Frameworks and SDKs: LangChain, CrewAI, Vercel AI SDK • Retrieval-Augmented Generation (RAG): Connecting AI applications with relevant documents and business data • Vector databases: Qdrant, Pinecone, Milvus • APIs and services: OpenAI API, Azure AI Search, ElevenLabs, Whisper, Deepgram 👉 Data Science & Analytics Turning business data into insights through statistical analysis, machine learning, and data visualization. • Feature selection, classifier development, and optimization using Machine Learning techniques • Data mining, statistical analysis, and predictive analytics • Anomaly detection systems and data integrity verification • Data collection using Apache Kafka and Logstash • Third-party data integration and supporting tools: APIs, Selenium, Postman • Python scripting for data processing and analysis • SQL and database technologies: MySQL, PostgreSQL, BigQuery, MongoDB • Data visualization and business reporting: Power BI, Tableau 👉 Big Data, Data Engineering & Data Management Building data pipelines and infrastructure to support reliable data-driven operations. • Big Data tools integration: Apache Hadoop, Apache Spark • ETL processes: Extract, Transform, Load implementation • Distributed computing: Hadoop cluster management and Lambda Architecture • Stream processing systems: Apache Kafka • NoSQL databases: MongoDB, DynamoDB • Data management: Data retention policies, data integration, and data quality 👉 Cloud, DevOps & Quality Assurance Deployment, testing, and delivery workflows that support maintainable applications. • Cloud computing platforms: AWS, Google Cloud, IBM Cloud, Azure • Deployment and containerization: Docker, Heroku • CI/CD tools: GitHub Actions, Jenkins, AWS CodePipeline • Testing frameworks: Jest, Mocha • Version control: Git 👉 How I Work I start by understanding your business goals, existing systems, and technical requirements. From there, I help define the scope, select suitable technologies, and develop a solution around your needs, with clear communication throughout. Explore my portfolio for verifiable project examples across web development, AI, and data solutions. Share what you’re building or the workflow you want to improve. Let’s define a practical technical approach and the next step.