Amirhassan Adeli

AI Engineer, Inference | Computer Vision | Language Models | Signal Processing

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Tehran, Iran

+98 993 805 9549

Professional Summary

I’m an AI Engineer, Inference focused on building practical AI systems across Computer Vision, Language Models & Generative AI, and Signal Processing.

My work combines AI models with the engineering required to turn them into usable applications — from model integration and inference to APIs, backend systems, and deployment.

I work with Python, PyTorch, TensorFlow, LangChain, RAG, Ollama, OpenCV, Django, REST APIs, Docker, and Linux.

My projects include medical image classification, local RAG and document intelligence, recommender systems, and machine learning applications for healthcare.

My goal is simple: build AI systems that are practical, reliable, and ready for real-world use.

Technical Skills

Programming

Python SQL

AI & Machine Learning

PyTorch TensorFlow Scikit-learn

Computer Vision

OpenCV Image Processing Medical Imaging

Language Models & Generative AI

Transformers LangChain Ollama RAG LLM Applications

Data & Scientific Computing

Pandas NumPy Matplotlib SciPy

Backend & APIs

Django Django REST Framework REST APIs PostgreSQL

AI Engineering & Deployment

Docker Linux Git Model Inference

Signal Processing

Digital Signal Processing Time-Series Analysis

Projects

AI-Powered Legal Intelligence & Verifiable Contract Analysis

An enterprise-grade RAG API designed to transform complex legal PDF agreements into interactive, verifiable insights. It eliminates model hallucinations by returning exact page numbers and contextual excerpts for every generated answer.

Django REST Framework LangChain Docker NextJS
GitHub Live Demo

Transfer Learning-Based Medical Image Classification

An end-to-end deep learning diagnostic pipeline that classifies chest X-ray images (Normal vs. Pneumonia). Employs transfer learning, data augmentation, and fine-tuning to deliver robust classification accuracy on medical imaging datasets.

Python TensorFlow PyTorch CNN & Transfer Learning
GitHub Demo Coming Soon

Experience

2024 – Present | Tehran, Iran

AI / Machine Learning Engineer

Gilan University of Medical Sciences

  • Worked on Machine Learning and Deep Learning applications in healthcare and medical data.
  • Developed and evaluated AI models for healthcare-related prediction and analysis tasks.
  • Applied Python, PyTorch, TensorFlow, and data processing techniques to practical projects.
  • Worked with medical datasets and contributed to developing AI-based solutions.
  • Focused on applying Computer Vision and Machine Learning techniques to real-world healthcare problems.
2024 – Present

AI Inference Engineer

Freelance / Self-employed

  • Computer Vision — image analysis, classification, medical imaging, and deep learning applications.
2024 – Present

AI Inference Engineer

Freelance / Self-employed

  • Language Models & Generative AI — LLM applications, RAG pipelines, document intelligence, and local LLM inference.
2024 – Present

AI Inference Engineer

Freelance / Self-employed

  • AI Engineering — Python-based AI systems, REST APIs, model integration, Docker, and Linux environments.

Education

In Progress

University of Guilan

M.Sc