Experienced Machine Learning Engineer with specialization in AI-driven solution development, specializing in end-to-end model design, data analysis, and deployment. Skilled in Python, SQL, R and deep learning frameworks including PyTorch and TensorFlow. MBA from Sharif University of Technology with a proven ability to translate complex data into actionable strategies. Recognized for strong problem-solving abilities and effective teamwork.
SKILLS
- Programming & Tools: Python, R, Julia, Java, SQL, Bash, Git, Docker, Linux, Apache Spark, Databricks, MLflow, NoSQL, Flask, FastAPI, AWS, GCP
- Machine Learning & AI Frameworks: PyTorch, TensorFlow, Keras, Scikit-Learn, HuggingFace, Transformers, XGBoost, LightGBM, LangChain, NLTK
- Specializations: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Time Series Analysis, Statistics, Predictive Analytics, MLOps
- Key Competencies: Data Wrangling, Feature Engineering, Model Deployment, A/B Testing, ETL Pipeline Development, Data Visualization (Matplotlib, Seaborn, Power BI)
- Soft Skills: Team Collaboration, Communication, Problem-Solving, Accountability, Continuous Learning, Time Management
EXPERIENCE
- Machine Learning Engineer | Golrang system | Tehran, Iran | Apr 2023–May 2024
- LLM-Powered Document Search and Q&A System: Developed a document search solution with OpenAI embeddings and vector databases, improving retrieval speed and relevance through optimized pipelines.
- AI-Powered Resume Scraper: Built an automated web app for resume processing, enhancing hiring efficiency by reducing manual screening workload.
- Smart Factory Predictive Maintenance: Analyzed IoT sensor data to optimize equipment maintenance schedules, reducing downtime, and created Power BI dashboards visualizing key metrics.
- Employee Attrition Prediction: Designed machine learning models to forecast turnover, enabling HR strategies that improved retention and reduced attrition rates.
- Teaching Assistant | Tarbiat Modares University | Tehran, Iran | Jan 2023–Jul 2023
- Delivered instruction on Python programming, deep learning frameworks, and machine learning concepts in the ANN course, facilitated tutorials, and supported students with assignments and projects.
- Data Analyst | Fanap Plus / Gereh | Tehran, Iran | Dec 2022–Mar 2023
- Built and maintained ETL pipelines, managing datasets for business intelligence purposes.
- Developed a web-based dashboard to visualize the analysis results, facilitating data-driven decision-making for marketing strategies.
- Teaching Assistant | Sharif University of Technology | Tehran, Iran | Jan 2022–Jun 2022
- Collaborated on technical support for blockchain and machine learning projects in the Financial Technologies (FinTech) course, ensuring smooth execution and troubleshooting during coursework.
EDUCATION
- PhD Candidate in IT Management (On hold after migrating to the U.S.) | Tarbiat Modares University | Iran | Sep 2022 –
- Research Proposal: Providing an Integrated Approach to Predictive Maintenance Based on Graph Neural Networks
- GPA: 3.7/4.0
- Master of Business Administration – MBA | Sharif University of Technology | Tehran, Iran | Sep 2019 – Sep 2022
- Concentration: How people’s sentiment and attention affect the return of Bitcoin?
- GPA: 3.6/4.0
- Bachelor of Science – BS in Civil Engineering | Sharif University of Technology | Tehran, Iran | Sep 2012 – Feb 2017
- GPA: 3.2/4.0
PROJECTS
How people’s sentiment and attention affect the return of Bitcoin? | Tehran, Iran | Oct 2021 – Sep 2022
- Analyzed the influence of investor sentiment and attention (Twitter sentiment analysis, Google search trends, …) on Bitcoin returns using machine learning models.
- Developed predictive models to forecast Bitcoin returns with 62% accuracy, identifying key variables like the Fear and Greed Index.
- Utilized SHAP model for interpretability, explaining the impact of different variables on Bitcoin returns.
Financial Econometrics: TSE Investors Sentiment | Tehran, Iran | Apr 2021 - Sep 2021
- Conducted a study to measure the effect of investors’ sentiments on the return of Tehran Stock Exchange.
- Implemented the article “Measuring investor sentiment in equity markets” by Bandopadhyaya and Jones (2006) for 398 different stocks.
Machine Learning in Finance: Bet Sizing & Backtest Methods | Tehran, Iran | Apr 2021 - Sep 2021
- investigated the use of algorithmic trading and quantitative finance by implementing chapters 10 & 11 of the book “Advances in Financial Machine Learning” by Marcos Lopez de Prado (2018).
Investigating the characteristics of social media influencers on uers’ intention to buy | Tehran, Iran | Mar 2021
- Conference paper - Case study: Garment industry on instagram
Fuel Consumption Analysis | Tehran, Iran | Oct 2020 - Mar 2021
- Analyzed fuel consumption patterns by crawling data from caranddriver.com and investigating the impact of car specifications.
COURSEWORK
Artificial Neural Network, Business Intelligence, Cognitive and systems Theories, Machine Learning in Finance, Business Analytics, Econometrics, Corporate Finance, Data Analysis, Computer Programming, Probability and statistics
ACHIEVEMENTS
- Achieved top 0.34% rank (5/1,465) in the entrance exam for Ph.D. admission
- Ranked in the top 0.37% (33/8,861) in the university entrance exam for Master’s degree admission
- Secured a top 0.17% rank (391/229,948) in the national entrance exam for Bachelor’s degree admission
CERTIFICATIONS
TensorFlow: Advanced Techniques | DeepLearning.AI | 2024
Custom Models, Layers, and Loss Functions with TensorFlow | Custom and Distributed Training with TensorFlow | Advanced Computer Vision with TensorFlow | Generative Deep Learning with TensorFlow
IBM AI Engineering | IBM | 2024
AI Capstone Project with Deep Learning | Machine Learning with Python | Introduction to Computer Vision and Image Processing | Introduction to Neural Networks and PyTorch | Building Deep Learning Models with TensorFlow | Introduction to Deep Learning & Neural Networks with Keras)
Applied Software Engineering Fundamentals | IBM | 2024
Developing AI Applications with Python and Flask | Hands-on Introduction to Linux Commands and Shell Scripting | Getting Started with Git and GitHub | Introduction to Software Engineering | Python for Data Science, AI & Development