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.
My Experience
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.
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