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AliGoodarzi-Ai/README.md

About Me

I hold a Master's degree in Computer Science and Engineering from the University of Oulu. My expertise spans AI engineering, machine learning systems, and interdisciplinary applications across healthcare, industrial automation, and intelligent systems development.

Core Expertise:

  • AI & Machine Learning Engineering: Large Language Models (LLMs), generative AI, deep learning, semantic search, computer vision, and neural network architectures (CNNs, Transformers, GANs).
  • Production AI Systems: MLOps pipelines, model deployment, A/B testing frameworks, model monitoring, and scalable inference systems.
  • Data & Pipeline Engineering: ETL/ELT processes, real-time data streaming, vector databases, multi-stage retrieval pipelines, and distributed computing.
  • System Architecture & Integration: Microservices design, API development, cloud infrastructure (Azure, AWS), containerization (Docker, Kubernetes), and CI/CD workflows.
  • Specialized Applications: Healthcare AI, mental wellness systems, industrial IoT, embedded systems, and human-computer interaction design.

Technical Leadership: I have experience leading end-to-end AI projects from research to production, including semantic search platforms, computer vision safety systems, and therapeutic AI applications. My work bridges theoretical frameworks with practical implementations, particularly in healthcare AI and industrial automation.

Industry Experience: My background includes electronic engineering, PCB design, industrial automation, and IoT systems, providing a unique perspective on integrating AI with hardware and embedded systems.

Outside of work, I enjoy hiking, fitness, podcasts, and exploring emerging technologies.

🌐 Connect With Me

LinkedIn Personal Website ResearchGate GitHub

💻 Tech Stack

Programming & Development

Python R JavaScript TypeScript SQL

AI/ML & Data Science

PyTorch TensorFlow Keras scikit-learn NumPy Pandas Matplotlib OpenCV

LLMs & Generative AI

OpenAI Anthropic Google AI Hugging Face Transformers LangChain LlamaIndex Haystack LangSmith Weights & Biases MLflow Prompt Engineering RAG Systems Vector Databases Pinecone Weaviate Chroma FAISS Fine-tuning Quantization Model Evaluation Multi-Agent Chain-of-Thought Tool Calling Semantic Search Embedding Models

Cloud & Infrastructure

Azure AWS Docker

Databases & Data Processing

MySQL PostgreSQL SQLite MongoDB Apache Hadoop Apache Spark

Hardware & Embedded Systems

Arduino Raspberry Pi Altium Designer PCB Design AutoCAD

Development Tools & Frameworks

Git React FastAPI Flask Jupyter Notebook LaTeX

Design & Visualization

Figma Canva Power BI Tableau Google Analytics Looker Plotly Seaborn Bokeh Altair Streamlit Dash

📊 GitHub Stats



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  1. DigitalTechniques DigitalTechniques Public

    This repository showcases an assembly implementation of a 5-tap Finite Impulse Response (FIR) filter using the mycpu module. It initializes memory with coefficients and input data, executes the FIR…

    Shell 2

  2. ECG-EMOTION-ARRHYTHMIA-DETECTION ECG-EMOTION-ARRHYTHMIA-DETECTION Public

    This ECG arrhythmia-based model detects emotions by mapping arrhythmia types to emotional states like calm or anxiety. Using a CNN architecture with data standardization, early stopping, and optimi…

    Jupyter Notebook 1 1