About

Experiences

• Big Data - AI/ML Technical Solutions Engineer (L4), Google Cloud

  Dec, 2021 - Present

  • Diagnosing critical and complex issues in data analytics stacks of GCP’s top 100 customers

  • Contributed to the tuning and productization of Time-series Forecasting models in Vertex AI

  • Contributed to Big Data ETL pipelines for weather & climate research including weather-tools

  • Leveraging data to extract actionable insights towards contact rate reduction, enhancing product supportability, increasing customer satisfaction, and faster case resolution

  • Working with multiple GCP product teams to identify, prioritize and investigate issues & bugs

• CTO & Co-founder, ezSec (Cypienta)

  Mar, 2019 - Dec, 20223 years 9 months

  Designing tomorrow's cyber-security solutions by automating security monitoring and response. Contributed to Patent-Pending technology development. Supervised R&D projects. Demonstrated good leadership, presentation, and connectivity.

  • Automating cybersecurity services with a focus on AI automation & scalability

  • Contributed to patent-pending technology development, supervised R&D projects, demonstrated good leadership, presentation, team-building, and connectivity.

  • Techstars Industries of Future class of 2022, paid demo deals for Rogers 5G MEC, finalist in US DoD challenge AI ATAC 2, UWaterloo Velocity, NextAI, and Communitech alumni

  • Designing system architecutre, pipelines and data analysis methods using the Hadoop ecosystem (Hive, Spark, Flink, Airflow, etc), Kafka, Neo4j, CuML, Tensorflow, GCP, Docker, MERN, ...)

• Senior AI Researcher, Collaboration w\ Orange™ (France)

  Feb, 2020 - May, 20211 year 3 months

  I took initiative in a collaboration with Orange Labs (Lannion, France) in a R&D project for employing Machine Learning for traffic classification, network security and telemetry.

  • Leading a team of +5 in R&D efforts

  • Encrypted traffic classification, with a higher focus on new web protocols HTTP/2 and QUIC

  • Enhancing the state-of-the-art by 50% fewer false predictions using a novel feature engineering approach and neural network arch

  • Published in top tier venues, won the Best Student Paper award in ACM SIGMETRICS 2021

  • Developing an industrial POC for large-scale PCAP datasets using Apache Spark

  • Using Keras and Tensorflow for building packet-level and flow-level classifiers

• Technical Project Lead, Canarie

  Oct, 2019 - Oct, 20201 year

  As a part of Canarie IDS project (formerly known as the Joint Security Project, or JSP, I led a small team in collecting, storing, organizing and analyzing massive volumes of network logs from campuses all across Canada.

  • Led the development of a massive data analytics pipeline

  • Big Data management using Apache Hadoop and ELK

  • High performance stream processing using Kafka, Spark Streaming, and Apache NiFi

  • Docker and Kubernetes for multi-tenant data access

  • Data science using Kibana and Apache Zeppelin

  • Training robust Machine Learning models for anomaly detection and assisting security analysts

• AI Researcher, Collaboration w\ Royal Bank of Canada

  Jan, 2019 - Sep, 20198 months

  In a research initiative funded by RBC, we aimed to find new and innovative ways for employing Machine Learning for network security management, intrusion detection and threat mitigation. Our R&D efforts were focused on detecting lateral movement, and mitigating network attacks using ML.

  • Reinforcement Learning for security management in SDN

  • OpenDaylight, OVS, Mininet used for building testbed

  • Using Docker for host behavior simulation

  • Tensorflow and Keras for building NFQ RL agent

  • Snort incorporated as traditional IDS providing raw insights

• Technical Project Lead, Parsatech

  Jul, 2018 - Dec, 20185 months

  Parsatech is an ICT company working in multi-media network systems an IoT services. My job in Parsatech mostly revolved around the design of a multi-media platform for a new emerging ISP aimed at children and adolescents, providing services such as VOD/AOD/Live TV.

  • Leading the ICT mobile app development project

  • Designing the Android app and APIs according to the state-of-the-art technologies and patterns

  • Assisting in requirement collection, design, implementation, deployment and testing of the consumer Android application

• Senior Software Developer, TAPSI (fka Tap30 Co.)

  Jun, 2016 - Jul, 20182 years 1 month

  TAPSI (pronounced tap-see) is an online ride-hailing application with over 3 million active users. Founded in 2016, it is one of the fastest-growing tech start-up companies in Iran. I started working at Tap30 as an Android Developer and later expanded my responsibilites to Agile Coach and Team Lead in a group of 5 developers. In 2018, I moved to the Data Infrastructure team to take a key role in a new initiative for migrating the traditional data analysis stack to Hadoop and developing a distributed data analysis stack.

  • Online ride-hailing application with over 3 million active users

  • Increased the successful driver ride acceptance rate by 15% by fixing request delivery issues

  • Set-up and maintained a Hadoop cluster from scratch, migrated and automated traditional

  • SQL queries for financial/operational data analysis to Apache Spark environment

• Full-stack Developer, Rahafilm

  Sep, 2015 - Sep, 20161 year 1 month

  Rahafilm was originally founded as a production company on music, cinema, photography, which later became more active in production sound mixing and dubbing movies and animations. In 2008, the company started working on sofware projects. During my time in Rahafilm, I worked on multiple projects including Gardeshnama, a social-network for tourism with a large dataset of local tourist attractions throughout Iran. My job was the design and implementation of Android applications and REST-ful server APIs.

  • Android application design, implementation, and test using the SDK

  • Implementing REST-ful APIs using Django

  • Live notification stream using CouchDB and WebSockets

  • Assisting in requirement collection and project planning

• Software Development Intern, Tolue Aryan Hooshmand

  Nov, 2014 - Apr, 20156 months

  • Writing a Java TCP server for small single-purpose location report devices

  • Storing location data in a Microsoft SQL server and integrating with legacy web panel

  • Imitating the tracking device behavior and protocol using Android GPS APIs

  • Working with Android bluetooth APIs for communication

Skills

Education

External Reviewer

Teaching

• CS798: Network Softwarization, University of Waterloo

  Jan, 2021 - Apr, 20213 months

• Teaching Assistant - CS456: Computer Networks, University of Waterloo

  May, 2020 - Aug, 20203 months

• Teaching Assistant - CS343: Concurrent and Parallel Programming, University of Waterloo

  Sep, 2019 - Apr, 20207 months

• Teaching Assistant - CS136: Elementary Algorithm Design and Data Abstraction, University of Waterloo

  Jan, 2019 - Sep, 20198 months

• Teaching Assistant - 40424: Operating Systems, Sharif University

  Sep, 2017 - Mar, 20186 months

• Teaching Assistant - 40443: Computer Networks, Sharif University

  Sep, 2017 - Mar, 20186 months

• Teaching Assistant - 40442: Data & Network Security, Sharif University

  Sep, 2017 - Mar, 20186 months

• Programming Instructor, Allameh Helli High School

  Sep, 2013 - May, 20148 months

Awards

Volunteer Work

Publications & Posts

Languages