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SinaGholamiFashkhami/README.md

👋 Hi, I'm Sina Gholami Fashkhami

AI Engineer | Machine Learning | Time-Series Systems
MSc @ University of Genoa 🇮🇹 | Open to EU & NZ Opportunities

About Me

I’m an AI-focused engineer passionate with strong focus on time-series modeling, deep learning, and real-world intelligent systems, especially in:

  • Natural Language Processing
  • Battery Intelligence (SoC / SoH)
  • Deep Learning Decision Making Systems
  • Edge AI & Optimization Methods

Tech Stack

Languages

Python SQL R TypeScript

AI / ML

TensorFlow Keras PyTorch Scikit-Learn

Data & Analytics

Power BI

Big Data

Apache Spark Hadoop

Currently Learning

AWS NoSQL Docker Kafka

Featured Projects

🔹 Real-Time Time-Series Deep Learning Framework

➡️ Modular framework for real-time classification with uncertainty-aware modeling

🔹 Quantized Dual-Branch Neural Network

➡️ Edge-friendly deep learning for road surface classification

🔹 MLopoly – Gamified Machine Learning

➡️ Interactive learning system for ML concepts

🔹 SQL & Data Analytics (in progress)

➡️ Transitioning into real-world analytics + BI projects

Current Direction

  • Building production-ready ML systems
  • Learning cloud-based pipelines (AWS)
  • Developing analytics dashboards (SQL + Power BI)
  • Preparing for AI/ML roles & PhD positions

Career Goals

Open to:

  • Machine Learning Engineer
  • Data Scientist
  • AI Engineer
  • Data Analyst / Engineer

📍 Germany | Netherlands | Luxembourg | New Zealand

Connect With Me

Pinned Loading

  1. Battery-SoH-MLOps Battery-SoH-MLOps Public

    Lithium-ion battery state-of-health estimation from raw research data to a deployed API. CNN+GRU+attention, MAE 0.58pp, 113 tests, Docker, CI, Cloud Run.

    Jupyter Notebook

  2. CWRU-Fault-Detection CWRU-Fault-Detection Public

    Self-supervised learning + few-shot classification for industrial motor fault detection using vibration signals (CWRU dataset). End-to-end pipeline with signal processing, deep learning, and explai…

    Jupyter Notebook 2

  3. AI_Assistant_Clinical_DM AI_Assistant_Clinical_DM Public

    In this repo, we developed a simulation on how AI assistants can help making deciosion in a clinical environment.

    Jupyter Notebook

  4. Quantized-Dual-Branch-NN-for-Road-Surface-Classification Quantized-Dual-Branch-NN-for-Road-Surface-Classification Public

    Dual-branch quantized neural network for smartphone time-series road surface classification (AsphaltPavementType). Edge-friendly and reproducible.

    TypeScript 1

  5. Real-Time-Time-Series-Deep-Learning-Framework Real-Time-Time-Series-Deep-Learning-Framework Public

    A modular deep learning framework for real-time time-series classification with uncertainty-aware modeling.

    1