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
Head of AI Development
Integrating AI solutions into TotalLab's life sciences and healthcare software products, including Phoretix Colony Counter, to enhance data analysis accuracy & regulatory compliance.
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
A Multi-Agent Framework for Medical AI: Leveraging Fine-Tuned GPT, LLaMA, and DeepSeek R1 for Evidence-Based and Bias-Aware Clinical Query Processing
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