CV
Hirad Dolatzadeh
Contact Information
- Phone: (669) 222-9663
- Email: hirad.dlz@gmail.com
- Location: Sacramento, CA
- GitHub: github.com/hiraddlz
- LinkedIn: linkedin.com/in/hirad-dolatzadeh
Work Authorization: Fully authorized to work in the U.S. No visa sponsorship required Open to relocation
PROFESSIONAL SUMMARY
Results-driven AI/ML professional with 3+ years of experience in developing and deploying scalable machine learning solutions across diverse domains. Specialized in generative AI and predictive modeling, with technical proficiency in PyTorch, Keras, and AWS. Combines hands-on engineering expertise with strategic business insights from an MBA (GPA: 4.0). Certified in AI (Cornell) and Generative AI Engineering. Proven track record of delivering end-to-end ML solutions that align technical performance with business impact.
SKILLS
Programming & Tools: Python, SQL, R, Git, Docker, Linux, AWS, MLflow, Databricks, Airflow, FastAPI, Flask, Power BI
ML/DL Frameworks: PyTorch, TensorFlow, Keras, OpenCV, Scikit-Learn, HuggingFace, LangChain, XGBoost/LightGBM, NLTK
Core Competencies: Machine Learning, Deep Learning, MLOps, Natural Language Processing, Generative AI
Soft Skills: Teamwork, Communication, Problem Solving, Accountability, Time Management, Continuous Learning
EXPERIENCE
Data Scientist - Research Data Specialist II
California Department of Public Health | Sep 2025 – Present
- Migrate SAS Viya code to Python and Databricks, enhancing performance and maintainability
- Build and maintain Tableau/Power BI dashboards for public health analytics and reporting
- Collaborate with cross-functional teams to build and deploy models into production
Machine Learning Engineer
Golrang system | Apr 2023 – May 2024
- LLM-Powered Document Search & Chatbot System: Led a team to develop a document query solution with OpenAI embeddings, RAG techniques, vector databases and LLMs, improving retrieval speed and query resolution through optimized pipelines.
- Smart Factory Predictive Maintenance: Analyzed IoT sensor big data to optimize equipment maintenance schedules, reducing downtime, and created BI dashboards visualizing key metrics.
- AI-Powered Resume Scraper: Built an automated API and web app for OCR resume processing, enhancing hiring efficiency by reducing manual screening workload.
- Employee Attrition Prediction: Designed machine learning models to forecast turnover, enabling HR strategies that improved retention and reduced attrition rates.
Machine Learning Engineer
Fanap Plus / Gereh | Dec 2021 – Mar 2023
- Built and maintained ETL pipelines, managing datasets for business intelligence purposes.
- Developed a web-based dashboard to visualize the analysis results and KPIs, facilitating data-driven decision-making for marketing strategies.
- Designed and executed surveys, conducted A/B testing for marketing research, and analyzed results to optimize campaign strategies and improve customer engagement.
Teaching Assistant in AI/ML
Tarbiat Modares University | Jan 2023 – Jul 2023
- Delivered instruction on Python, deep learning frameworks, and ML/DL concepts (e.g., RNN, GAN, LLMs) in the ANN course.
Teaching Assistant
Sharif University of Technology | Jan 2022 – Jun 2022
- Supported students for blockchain and machine learning projects in the Financial Technologies course.
EDUCATION
Data Science and Data Analytics Certificate Program | UCSC Silicon Valley Extension | Feb 2025 – Nov 2025
- Focused on developing practical skills in Big Data processing, data engineering, cloud computing, and DevOps
- Exploring Hadoop, Apache Spark, Kafka, Hive, and NoSQL databases (DynamoDB, Cassandra, HBase, Neo4j)
- Developing proficiency in DevOps tools: Docker, Kubernetes, GoCD, FluxCD, and infrastructure-as-code practices
Artificial Intelligence Program (AI360) | Cornell University (eCornell Certificate) | Oct 2024 – Apr 2025
Master of Business Administration – Business Analytics | Sharif University of Technology | Sep 2019 – Sep 2022
- GPA: 4.0/4.0
Bachelor of Science – Civil Engineering | Sharif University of Technology | Sep 2012 – Feb 2017
- GPA: 3.49/4.0
PROJECTS
AI Alchemy – Open-Source AI Toolbox | Dec 2024 – Mar 2025
- Developed a suite of 10+ AI-powered productivity tools like YouTube Video Chat, Resume Matcher, IELTS Writing Examiner, Proofreader, File Q&A, etc.
- Integrated cutting-edge AI frameworks like OpenAI API, LangGraph, Transformers, Vector Databases, and Streamlit to create an intuitive and scalable platform.
- Designed and deployed using GitHub, Python, and Streamlit Cloud, ensuring free and accessible usage.
How people’s sentiment and attention affect the return of Bitcoin? | Sharif University of Technology | Oct 2021 – Sep 2022
- Analyzed the influence of investor sentiment and attention (Twitter sentiment analysis, Google search trends, …) on Bitcoin returns using NLP and Deep Learning models using TensorFlow and Keras.
- Developed predictive models to forecast Bitcoin returns with 62% accuracy, identifying key variables like the Fear and Greed Index.
- Utilized eXplainable AI SHAP model for interpretability, explaining the impact of different variables on Bitcoin returns.
Financial Econometrics: TSE Investors Sentiment | Sharif University of Technology | 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 | Sharif University of Technology | 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 users’ intention to buy | Sharif University of Technology | Mar 2021
- Conference paper - Case study: Garment industry on Instagram
Fuel Consumption Analysis | Sharif University of Technology | Oct 2020 - Mar 2021
- Analyzed fuel consumption patterns by crawling data from caranddriver.com and investigating the impact of car specifications in R.
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
DataAI (DataX) – Expert Series | CompTiya | 2026
- 5+ years recommended experience level | Python, ML, deep learning, NLP, MLOps | Statistical analysis, predictive modeling
Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing with Python | Cornell University (eCornell) | 2025
IBM Generative AI Engineering Professional Certificate | IBM | 2025
- Generative AI Advance Fine-Tuning for LLMs | Generative AI: Prompt Engineering Basics | Fundamentals of AI Agents Using RAG and LangChain | Project: Generative AI Applications with RAG and LangChain | Generative AI Language Modeling with Transformers
TensorFlow: Advanced Techniques | DeepLearning.AI | 2024
- Custom and Distributed Training with TensorFlow | Advanced Computer Vision with TensorFlow | Generative Deep Learning with TensorFlow
IBM AI Engineering | IBM | 2024
- 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