11/01/2026 updated
100 % available
AI/ML Developer | LLM & RAG Engineer | AI Agents | Python Automation
Mashhad, Iran
Only remote
B.Sc. Computer ScienceAbout me
I'm an AI/ML Developer specializing in Python, LLMs, RAG, AI Agents, and Computer Vision. I build reliable AI solutions that automate workflows, turn data into insights, and solve real business problems. I value clean code, clear communication, and on-time delivery.
Predictive AnalyticsTensorFlowDeep LearningGenerative AIMachine Learning OperationsArtificial Intelligence Markup Language (AIML)
AI & Machine Learning Engineer | Python, LLMs, RAG, AI Agents, Computer Vision
LLM Engineering & RAG
Build end-to-end LLM applications and document intelligence systems using Sentence Transformers, dense embeddings, BM25 hybrid search, Cross-Encoder reranking, and citation-grounded responses. Experience with multilingual retrieval, PDF/DOCX processing, and retrieval quality optimization.
AI Agents & Automation
Design controlled, tool-using AI agents for business workflows. Implement human-in-the-loop approvals, read/write access separation, idempotency, retries, timeouts, audit logging, and least-privilege practices for dependable automation.
Deep Learning & Computer Vision
Develop CNN, LSTM, and attention-based models with PyTorch and TensorFlow. Apply OpenCV, MediaPipe, pose estimation, real-time activity recognition, multi-scale feature extraction, and Grad-CAM explainability to image and video analysis.
Machine Learning & Predictive Analytics
Create robust classification, regression, and forecasting pipelines with Scikit-learn, XGBoost, and ensemble methods. Skilled in feature engineering, cross-validation, hyperparameter tuning, threshold selection, and evaluation using F1-score, ROC-AUC, and other task-specific metrics.
Medical AI & Explainable Models
Develop medical image classification solutions, including the custom Med-AGCNet CNN architecture with adaptive feature fusion. Apply model interpretability, class-imbalance analysis, threshold optimization, and rigorous performance evaluation.
Data Engineering & Business Intelligence
Clean, transform, and analyze data with Python, SQL, Pandas, NumPy, and SciPy. Build interactive visualizations with Matplotlib and Plotly and executive-ready Power BI dashboards using Power Query and DAX.
MLOps & Model Monitoring
Structure reproducible ML experiments and maintainable model workflows. Design model-performance dashboards covering accuracy, precision, recall, F1-score, drift indicators, operational alerts, and performance trends.
Optimization & Engineering AI
Use Particle Swarm Optimization (PSO), WNTR, and EPANET for water-network simulation, pressure prediction, anomaly detection, and infrastructure optimization.
Programming & Delivery
Python, SQL, C#, Git, GitHub, Jupyter, and VS Code. Focus on modular architecture, clean code, documentation, transparent communication, and solutions aligned with business needs.
Experience
Professional experience0 - 5 years
Freelancer since2023
Languages
EnglishGoodPersianNative speaker
Project history
Research and development of machine learning and deep learning solutions for medical imaging, predictive analytics, and engineering applications. Designed and implemented Med-AGCNet, a custom CNN architecture for medical image classification. Built reproducible PyTorch pipelines and evaluated model performance achieving 92.47% test accuracy and 0.9758 ROC-AUC on the PneumoniaMNIST benchmark. Applied Grad-CAM and analytical visualizations for model interpretability.
Developed Python-based machine learning solutions to analyze industrial data and support infrastructure monitoring. Built modular data processing and modeling pipelines using Scikit-learn and XGBoost. Applied predictive modeling to water network data with a focus on pressure analysis and data-driven engineering decisions. Integrated machine learning outputs into analytical and engineering workflows.
Developed data preprocessing and transformation workflows to prepare industrial and operational datasets for analysis, reporting, and machine learning applications. Worked with Python and SQL to clean, structure, and analyze engineering data. Performed exploratory data analysis and feature extraction to support predictive modeling and industrial analytics projects.