Ahmed E.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.

Hi, here is a brief about me: ⭐ Bittensor development experience ⭐ 5+ years of experience - Building End-to-End Machine Learning Solutions in multiple industries using the latest tech 🚀 30 successful completed projects CONSULTATIONS, DESIGN, DEVELOPMENT OF: Proof of concept (POC), Prototypes, Demos, Production-ready products, like: Bittensor Blockchain Consultation Systems like ChatGPT Complex AI application for text understanding Data-rich systems for text processing Knowledge representation systems Text generation systems Sentiment analysis and opinion mining Text clustering systems Structure and content analysis Topic analysis, text complexity, readability level Prompts engineering Large-scale language models training Search / Question-Answering systems Text / Documents classification apps Text summarization systems Text mining and analysis systems Translation systems Ontology-based, KB systems ML models benchmarking, profiling, optimization, TensorBoard Scientific papers reproduction SEO keywords analysis and optimization Documents analysis, smart search Other? Write me a message right now Data-rich SaaS applications development with microservice architecture SDLC best practices, Continuous integration, Scrum / Agile powered by: Technologies: Programming language: Python 3 Databases: SQL/NoSQL, MongoDB, PostgreSQL, Neo4J Search engines: ElasticSearch, Sphinx, Apache Nutch, Apache Lucene, Solr, custom (from scratch) Deep Learning frameworks: Torch / PyTorch, Tensorflow Restful API with Flask, Django, Django-REST, Nginx, Gunicorn OS: Linux only; Containers: Kubernetes, Docker Tools: Numpy, Pandas, Spacy, Gensim, Transformers, NLTK, CoreNLP, Other OpenAI models: GPT-4/ 3.5 / Assistants Large-scale language models: OpenAI GPT4/ GPT3/ ChatGPT4 , Bloom, Facebook Llama (any modification), DeBERTa, DistilBert, Google T5, Custom language models from scratch Deep Learning: Convolutional Neural Network (CNN), Recurrent Neural Networks (RNNs), Long Short-Term Memory Networks (LSTMs), Stacked Auto-Encoders, Deep Boltzmann Machine (DBM), Deep Belief Networks (DBN), Other Classical algorithms/methods: Linear/Logistic/Stepwise Regression, k-Nearest Neighbor (kNN), Self-Organizing Map (SOM), Locally Weighted Learning (LWL), Support Vector Machines (SVM), Classification and Regression Tree (CART), Chi-squared Automatic Interaction Detection (CHAID), Decision Stump, M5, Conditional Decision Trees, Other Dimensionality Reduction: Principal Component Analysis (PCA), Principal Component Regression (PCR), Partial Least Squares Regression (PLSR), Other Cloud computing: Google Cloud, AWS, Microsoft Azure APIs: AWS Sagemaker, Google NLP, Azure ML Hardware: CPU, GPU/Multi-GPU, TPU ML models benchmarking, profiling, optimization, TensorBoard AI for Medical research: PubMed analysis ML for Carbon reduction Other? No problems, just write me a message right now