Maryam A.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.

I help clients design, evaluate and document machine learning, large language model and cybersecurity analytics projects using Python. My work covers the complete project lifecycle—from research design and data preparation to model development, statistical evaluation, visualization and technical reporting. My core services include: • Machine learning and deep learning model development • LLM evaluation, hallucination detection and NLP research • Cybersecurity analytics, intrusion detection and anomaly detection • Data preprocessing, feature engineering and model comparison • Experimental design and statistical analysis • Python, Scikit-learn, PyTorch, TensorFlow and Hugging Face • Research methodology, reproducible experiments and technical documentation Relevant project experience includes: • LLM hallucination analysis using Qwen and Mistral models • Sentence-level faithfulness evaluation and temporal error analysis • Cyberattack detection using SDN traffic and machine learning • Federated learning and zero-trust cybersecurity architectures • Intrusion detection using NSL-KDD, CICIDS-2017 and IoT datasets • Knowledge graph and network-security visualization projects I provide clear communication, organized deliverables, reproducible code and detailed documentation. I am best suited for clients who need both strong technical implementation and research-quality analysis. Please share your dataset, research question or technical requirements, and I will propose a practical project plan.