About

Education

Work Experience

• Graduate Research Assistant, UC Irvine, Edge Lab

  Jan, 2022 - Present

  Working at UCI Edge Lab under supervision of Prof. Faisal Nawab. We study and build distributed data management systems.We are interested in systems that span large geographic areas and infrastructures, including cloud and edge environments.

  • Proposed an optimized distributed concurrency protocol, achieving a 3.8x increase in throughput and a 43% reduction in latency under high-contention workloads.

  • Proposed a formal analysis and modeling of metastable failures in replicated storage systems using queuing theory, enabling the first-ever modeling of these failures.

  • Designed a sharding mechanism that improved blockchain resilience by a factor of 6 during global internet outages.

  • Examined real-world global scale internet partitioning in blockchain architecture to minimize harm and enable rapid recovery.

• Software Engineer, Radin Bourse

  Feb, 2021 - Nov, 20219 months

  I was part of the team developing a new order-matching engine system for Iran's national stock. This product addresses requirements such as ultra-high performance, low latency (~1μs), scalability, and high availability. Beyond developing new features for the system, I worked on enhancing the response time of distributed event stores deployed within, such as Kafka and Redpanda. We successfully reduced their latency from milliseconds to microseconds.

  • Contributed to developing a low-latency ( 1µs) order-matching engine in Java.

  • Optimized performance of distributed event stores (Kafka, Redpanda) through benchmarking, reducing the order latency from milliseconds to microseconds.

  • Deployed a containerized monitoring system in the production pipeline using Docker, Prometheus, and Grafana, enabling real-time service monitoring and proactive issue detection.

  • Deployed a UI for the company’s Ansible codebase using SemaphoreUI, enabling graphical execution of workflows.

• Undergraduate Research Assistant, University of Tehran

  Mar, 2020 - Mar, 20211 year

  Designed and implemented a virtual network embedding algorithm using Graph Neural Networks (GNN), improving runtime by a factor of 8 and increasing the revenue-to-cost ratio by 18% compared to other simulated algorithms.

• Machine Learning Intern, University of Tehran Science and Technology Park

  Jul, 2019 - Oct, 20193 months

  • Developed and optimized ML models for real-world data analysis projects using tools such as Scikit-Learn and NumPy.

  • Built hands-on experience in ML by studying Hands-on Machine Learning book and competing in Kaggle competitions.

• Software Engineer Intern, Rahnema College

  Jun, 2018 - Sep, 20183 months

  • Contributed to the design and development of an iOS/Android application combining Instagram and Pinterest features

  • Implemented the front-end using React Native and the back-end with Python Django.

  • Applied Scrum methodology, teamwork, and feedback concepts to improve project efficiency and collaboration.

Publications

Awards

Interests

Volunteer Work

Skills

Certificates

Projects Experience

• MSF-Model

  - Present

  Development of a queuing-based analytical model that can be used to characterize and predict metastable failures which was interactable to this work. This project integrates modeling concepts such as queuing theory, Markov chain, Monte carlo analysis, and distance divergence.

• Repllicated Postgres

  - Present

  This project provide a multi-node replication system for postgres db. It will replicate data from a leader into two other replications, and it can tolerate leader failure for transactions.

• Peter DB

  - Present

  A full implementation of a database system consists of Paged File Manager, Record Based File Manager, Relation Manager, Index Manage, and QueryEngine.

• Virtual Network Routing

  - Present

  Represents a distance-vector network routing protocol among virtual nodes that are connected via interfaces.

• Key-Value Store + Gossip membership protocol

  - Present

  A full implementation of a distributed key-value store inspired by the Cassandra key- value database using a three-layer architecture.

• House Prices: Advanced Regression Techniques

  - Present

  Using advanced regression techniques like random forest and gradient boosting to predict house prices. (Rank 213 between 5,523 teams in Kaggle)

• Fraud Detection

  - Present

  Using a full exploratory data analysis (EDA), feature engineering and comparing different training models to propose a method to detect frauds in the IEEE-CIS dataset.

• Gnutella Implementation

  - Present

  A full implementation of a peer-to-peer file-sharing system implemented in python and mininet.

• P. OS

  - Present

  A cloned xv6 kernel with some added features for CPU scheduling, memory management, and synchronization.

• TCP Over UDP

  - Present

  An implementation of TCP New Reno over UDP, with reliable data transfer, congestion control, and flow control. Also this im- plementation includes the Nagle algorithm.

• Proxy Server

  - Present

  An implementation of a proxy server in application layer with some extra features like accounting, privacy, caching, etc.

• Cyber Physical Systems Course's Projects

  - Present

  A series of projects to become familiar with embedded hardware and real-time software

• Real-Time Robotic Arm

  - Present

  A real-time robotic arm with recording functionality and high optimization in storage usage.

• MIPS

  - Present

  Implementation of MIPS CPU using VerilogHDL. It includes three phases: single-cycle, single-cycle with pipeline, and multi-cycle.

• SmoolaCompiler

  - Present

  Implementation of a compiler for an object-oriented language called Smoola from scratch - Implemented in Java in four phase.

• Titanic Classification

  - Present

  An analysis on Titanic disaster to find out what sorts of people were likely to survive using Machine Learning.

• Joboonja

  - Present

  Implementation of a web application for finding projects to do if you are qualified for them. - Implemented in Java(Spring framework) for backend and JavaScript(React js) for frontend.

• Store Search

  - Present

  Filtering files content and sorting them ascend/descend by field using multiprocess and using pipes to connecting them

• Intelligent PacMan

  - Present

  Using different searching algorithms (Astar, IDS, BFS) to design an intelligent PacMan in a modified version of the game.