Summary

AL/ML Engineer with a Master’s in Artificial Intelligence and 2+ years of experience in developing AI-driven solutions alongside 5+ years of experience in tech and software development, specialising in machine learning model lifecycle, fine-tuning LLMs, and deep learning. Skilled in Python, PyTorch, TensorFlow, and MLOps practices such as CI/CD and containerisation to build scalable AI solutions.

My Skills

I believe in the fact that learning never stops and I am interested in learning new technologies and programming languages that will help me design advance models and develop a better output in less time.

Programming & Scripting
Machine Learning & AI
Data Processing & Visualization
MLOps & Deployment
Research & Development

My Experience

Dec 2023 - Present

Machine Learning Engineer

I collaborated with a skilled AI team to design and develop tools for risk evaluation, including fine-tuning language models and building frameworks for operational safety in AI systems.

Jun 2023 - Nov 2023

AI Research Assistant

I conducted advanced AI research, developing machine learning models, co-authoring papers on explainable AI, and collaborating on projects aimed at solving real-world challenges.

Apr 2018 - Jan 2023

Manolight

Founder and Tech Lead

I led a dynamic team to build and manage an e-commerce platform, utilizing data-driven insights to optimise operations and create personalised product experiences.

Nov 2015 - Mar 2018

TehranNSR

Junior Software Developer

I contributed to the development of websites and mobile apps, streamlining registration processes and information sharing for sports events and organisational activities.

Publications

Fine-Tuning Large Language Models for Medical Applications:
A Comparative Study of GPT and LLaMA

Paper Under Review

An Explainable AI Tool for Operational Risks Evaluation of AI Systems for SMEs

IEEE, Jan 2024

  • Keywords: Machine Learning, Ethical Considerations, Risk Management, Legal Compliance, Artificial Intelligence
  • Led data analysis efforts, focused on bias detection and metric evaluation.

Skills

Programming & Scripting

  • Python, SQL, Flask, REST APIs, JavaScript (basic)

Machine Learning & AI

  • Supervised & Unsupervised Learning
  • Deep Learning: CNN, RNN, LSTM, GRU, GANs, Transformers
  • NLP: Text Summarization, GPT Fine-Tuning, Prompt Engineering
  • Computer Vision: Object Detection, Image Segmentation, YOLO, U-Net
  • Generative AI: Text Generation, Neural Style Transfer

Data Processing & Visualization

  • Data Preprocessing, Data Cleaning, Feature Engineering
  • Visualization Tools: Matplotlib, Power BI, Seaborn

MLOps & Deployment

  • CI/CD Pipelines: GitHub Actions, Jenkins
  • Containerization: Docker, Kubernetes
  • Experiment Tracking: MLflow, Weights & Biases
  • Model Monitoring: Logging, Drift Detection
  • Cloud Platforms: Azure AI, AWS (basic), GCP (basic)

Research & Development

  • Large Language Model Operations (LLMOps)
  • Ethical AI and Bias Detection
  • Explainable AI (XAI)
  • Adversarial Learning and Risk Mitigation

Tools & Frameworks

  • TensorFlow, PyTorch, Scikit-Learn, Hugging Face Transformers
  • Apache Airflow, PySpark, Roboflow, CVAT
  • Databases: SQL, NoSQL (Cassandra)

Education

MSc Artificial Intelligence with Advanced Practice

Grade: Distinction | Teesside University | Jan 2025

BEng Computer Engineering

Grade: 2.1 | BNUT University

Certification

Python Specialisation

Sep 2023 | Professional Certificate
Credential ID: 3XYTQ7UJ97PF

Deep Learning Specialisation

Apr 2024 | Deeplearning.ai | Coursera
Credential ID: 6D4KWUF7G2EG

Azure AI-900

Aug 2024 | Microsoft
Credential: 90026212

Projects

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