Shiva Khoshhal Doost
Research Assistant
Experience
Research Assistant
Politecnico di Torino
- Designed computational forecasting models (CNN-based) using large meteorological and energy datasets with deterministic evaluation.
- Built Python workflows for data ingestion, cleaning, feature engineering, EDA, and model validation.
- Developed end-to-end analytical pipelines and documented experiment reproducibility.
- Produced analytical dashboards (Power BI, Matplotlib) to support interpretation of model performance.
AI Engineer Intern
Tecnocad
- Implemented real-time computer vision pipelines (YOLOX + ROS2) for robotics applications.
- Optimized perception models with ONNX, reducing inference latency by approx. 35%.
- Developed reproducible C++ workflows for model preparation, testing, and integration.
Research Assistant
Tabarestan University
- Built neural networks for prediction tasks on structured and unstructured datasets.
- Ensured deterministic training environments and reproducible experimental setups.
Research Assistant
University of Mazandaran
- Implemented reinforcement learning simulations (Q-learning) with controlled, reproducible conditions.
Industries Experience
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Experienced in Education (5 years), Energy (1 year), Information Technology (0.5 years), and Manufacturing (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Research and Development (5 years), Business Intelligence (1 year), and Product Development (0.5 years).
Summary
Data Scientist and AI Engineer experienced in deep learning, computer vision, and end-to-end machine learning workflows. Skilled in Python (pandas, NumPy, SciPy, scikit-learn, statsmodels), reproducible modeling, feature engineering, and analytical problem design. Background includes LLM-related development (RAG, LangChain), multimodal models, forecasting pipelines, and computationally intensive modeling. Strong ability to create deterministic analytical workflows aligned with real business scenarios.
Skills
- Python For Ds Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, Seaborn
- Machine Learning Regression, Classification, Forecasting, Feature Engineering, Model Validation
- Deep Learning Cnns, Transformers, Bert, Resnet, Pytorch, Tensorflow
- Genai / Llm Rag, Langchain, Faiss, Vector Databases, Prompt Engineering
- Data Engineering Sql, Etl Pipelines, Data Ingestion, Cleaning, Reproducible Workflows
- Tools & Mlops Docker, Git, Mlflow, Fastapi, Onnx, Ros2
- Visualization Power Bi, Matplotlib
- Domains Fraud Detection, Forecasting, Customer Analytics, Computer Vision, Robotics
Languages
Education
Politecnico di Torino
MSc, Data Science & Engineering · Data Science & Engineering · Italy
Tabarestan University
MSc, Computer Engineering · Computer Engineering · Iran, Islamic Republic of
University of Mazandaran
BSc, Computer Engineering · Computer Engineering · Iran, Islamic Republic of
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