Muhammad Faizan J.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

As of November 3rd, 2026, I'm available Fulltime as all my active contracts are just unresponsive, inactive clients I leverage Ai with the best coding practices to ship Web & Mobile Apps (iOS & Android) 10x faster, safer AI/ML & LLM Systems · Agent Architectures: Multi-agent systems, Production-grade AI architectures, High-level orchestration. · Agent Frameworks: CrewAI, Google ADK, OpenAI Agents SDK, LangGraph, Custom agent runtimes. · Low-Level Control: LangGraph, Workflow control. · LLM Techniques: Advanced prompt engineering, Structured JSON outputs, Guardrails, Evaluation pipelines, LLM fine-tuning (PEFT, LoRA, QLoRA). · RAG & Retrieval: RAG pipelines, Hybrid search, Vector retrieval. · Vector Databases: Pinecone, FAISS, Milvus. · Computer Vision: YOLOv11/v12, OpenCV, MediaPipe. · NLP: BERT, RoBERTa, spaCy, NLTK. · Modeling & Forecasting: Predictive modeling, Time-series forecasting. · Deep Learning Frameworks: TensorFlow, PyTorch. Full-Stack AI Applications · Frontend: React, Next.js, React Native CLI React Native Expo · Backend: Python, FastAPI, Node.js. · APIs: REST, GraphQL, gRPC. · Real-Time Systems: Streaming, Real-time inference, WebSockets. · Background Processing: Background job systems. · Architecture: Scalable SaaS architectures, End-to-end AI products. AI Cloud & Infrastructure · Cloud Providers: Multi-cloud (AWS, Azure, GCP). · Workloads: GPU workloads. · Serverless: Serverless AI pipelines. · Containerization: Docker, Kubernetes. · IaC: Infrastructure-as-code (Terraform). · CI/CD: CI/CD for AI. · Operations: Monitoring, Observability, Cost-optimized scaling. Data & Knowledge Layer · Data Engineering: Data pipelines, Feature stores, Data workflows. · Databases: SQL, NoSQL, Vector databases (Pinecone, FAISS, Milvus), Graph databases (Neo4j). · Caching: Redis. · Systems: Reliable AI inference systems. LLMOps · Proprietary LLMs: OpenAI, Anthropic Claude, Google Gemini. · Cloud AI Platforms: Azure AI Foundry, AWS Bedrock, Google Vertex AI. · Open-Source Ecosystem: Hugging Face, LLaMA, Qwen, Gemma. · MLOps/LLMOps: Evaluation workflows, Versioning, Monitoring workflows for production AI. AI Integrations & Automation · Business Tools: Slack, Discord, Telegram, Twilio, Trello, Google Workspace, Airtable. · Automation Platforms: Make, n8n. · Solutions: AI-driven automation, Intelligent workflows, Decision systems. Core Stack Summary · Orchestration: LangChain, LangGraph, CrewAI, OpenAI Agents SDK. · RAG: Pinecone, FAISS, Milvus. · Fine-Tuning: LoRA, QLoRA, PEFT. · Prompt Engineering: Structured outputs. · Deployment: End-to-end deployment of scalable AI applications. Furthermore on offer: • Hands-on experience in NodeJS, ExpressJS with an understanding of REST architecture & GraphQL. • Solid understanding of modern JavaScript-ES6+ or Typescript • Strong DB Concept - MySQL /Firebase/MongoDB • MERN stack hands-on experience • API design (REST/SOAP/GraphQL) • Microservices & serverless architecture • Aware of SDLC and GIT, CI/CD, Agile development process • TDD & BDD with Mocha/Chai/Sinon/JEST/Jasmine • 3rd party Integrations using Curl • AWS - S3, SQS, DynamoDB • Caching with Redis, Memcache, RabitMQ • DevOps Expertise (SSH, Shell Scripting, Dockerization, Containerization) • Vercel & Storyblock expertise Got any questions? ping me