Hammad T.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.

What's Holding You Back from Transforming Your Business with Cutting-Edge AI Solutions?Can Your Business Afford to Miss Out on the AI Revolution? If no then allow me to introduce myself! Highly experienced Machine Learning Engineer with a strong background in LLMops, RAG, Generative AI, and Computer Vision. Proven track record of leading teams and architecting fault-tolerant end-to-end ML/DL systems across various industries. Skilled in state-of-the-art AI technologies, including: ✔️LLM Agents: Developed data scraping, classification, BI and other agent based workflows in Autogen and Crew AI frameworks. ✔️LLMops: Expertise in large language model operations, including prompt engineering, fine-tuning, and deployment. ✔️RAG: Knowledge of Retrieval-Augmented Generation models and their applications in natural language processing. ✔️Generative AI: Proficient in generative models, including GANs, Transformers, and diffusion models, for image, audio, and text generation. ✔️Computer Vision: Skilled in object detection, tracking, segmentation, and image generation using YOLO, Faster RCNN, DeepSort, and other techniques. ✔️ Frameworks: Pytorch, tensorflow, lanchain, LLamaIndex. ✔️ Vectorstores: Pinecone, chromaDB, FAISS. --Expertise: ✔️AI skills: Vision (YOLO, Faster RCNN, DeepSort, etc.), Graph Neural Networks, Conversational AI (llms, llm agents, RAG), GANs, Audio Classification, Recommendation models, Forecasting models, Text-To-Image, Text-To-Video, Text-To-Speech, Speech-To-Text, and more. ✔️AI domains: Generative AI, Object detection, tracking and segmentation in images, Image and Audio generation using generative AI (Text Generation, Entity Recognition, Summarization, Open Information Extraction), Economic/Financial time series analysis and forecasting and more. ✔️DevOps: AWS (CloudFormation, Lambda, CloudFront, EBS, AutoScaling, Sagemaker) and Google Cloud (Using TPUs. AutoML, VertexAI). ✔️Programming languages: Python (async Python, websockets), and general backend development. ✔️Vectorstore operations: Experienced in designing and implementing efficient vectorstore systems for large-scale AI applications, including similarity search, clustering, and indexing. --AI development experience: ✔️ RAG pipeline with llama, langchain and pinecone (vectorstore). ✔️Deployment on kubernetes cluster in CI/CD pipeline ✔️ Photorealistic HD virtual tryon ✔️ Economic/Financial time series analysis and forecasting ✔️ Object detection, tracking and segmentation in images ✔️ Image and Audio generation using GANs ✔️ Neural Net Architectures such as CNN, RNN (LSTM), GAN, Mask RCNN, YOLO, etc. ✔️ NLP (Text Generation, Entity Recognition, Summarisation, Open Information Extraction) ✔️architecture and leading tech teams for building scalable systems ✔️DevOps: AWS (CloudFormation, Lambda, CloudFront, EBS, AutoScaling, Sagemaker) and Google Cloud (Using TPUs and AutoML) ✔️ General and backend Python development, including async Python and websockets. ✔️3D generative modeling ✔️Generative models to detect anomalies in Videos ✔️ Attention based models