I'm a graduate IST student at York University researching data management solutions. I obtained my BSc in Computer Engineering from University of Tehran with a minor in software engineering. I have experience working as a high frequency trading software engineer, later in my career I switched to quantitative machine learning and data engineering. I have built extensive ml platforms for financial machine learning applications. My interests lie in the intersection of machine learning and big data, I am generally interested in how software engineering/machine learning solutions evolve in the face of large scale data operations. I have dealt with massive datasets to utilize them in machine learning, statistical inference and financial applications. I developed and built internal tools upon third party technologies like Apache Spark, Ray, TimeScaleDB and Clickhouse. My responsibilites included training models, fine-tuning hyper parameters and designing backtesting/evaluation mechanisms for trading and market making strategies. As a bachelor student I explored various areas of Computer Science academically. In my research journey I have worked on blockchain platforms developing consensus protocols,I later worked survival analysis through machine learning in the medical domain.
A new Consensus Protocol adapting the best features from Proof of Stake and Proof of Work, while effectively promoting user activtiy
Functioning blockchain based on Redefined Proof of Activity
- Technologies: Python, Docker, Flask
- Description: Novel Consensus Algorithm used to improve transaction speed and security in blockchain networks while optimizing and improving on Proof of Work and Proof of Stake Systems - A Blockchain coded from scratch using Python