Javad Ebadi

PhD, Particle Physics

2015 - 2020

Institute for Research in Fundamental Sciences (IPM), Tehran, Iran

As a Ph.D. student in Physics, I was doing research in elementary particle physics using sophisticated data analysis methods. My research focus was on problems related to discovering new physics in top quarks, axions, and dark matter. We run simulations to generate and analyze data, compare several hypotheses and decide which theory is better based on statistical methods.

• Generated simulation data and performed data analysis for a paper in Higgs Physics. [Link]
• Suggested a new data analysis method to constrain the parameter space of axion-like particles models. For a channel, we obtained an 80% improvement relative to previous bounds. The paper is published in Physical Review D and got good attention from the community. [Link]
• Created video courses about Madgraph software and root-cern data analysis framework to help new students in our lab. [Link]
• Improved LHC bounds on the coupling of up quarks to top quarks by 20%. [Link]
• I did thorough research and wrote a 80 pages documentation review on dark matter as a qualification exam

MSc, Black Hole Physics

2013 - 2015

Sharif University of Technology, Tehran, Iran

I did research in theoretical physics about Hawking radiation. In my research, I used Mathematica for symbolic tensor calculation. In addition, I passed advanced courses in Quantum Mechanics, General Relativity, Statistical Mechanics, and Electrodynamics.

BSc, Physics

2008 - 2013

Amirkabir University of Technology, Tehran, Iran

2019

Institute for Research in Fundamental Sciences (IPM)

New Probes for Axion-like Particles at Hadron Colliders

2019

3rd International Turkey-Iran Joint Conference on LHC Physics

New Probes for Axion-like Particles at Hadron Colliders

2018

Two Days Workshop on Particle Physics at Shahid Beheshti University

Same-sign top pair plus W production in flavor changing vector and scalar models

2018

Institute for Research in Fundamental Sciences (IPM)

Same-sign top pair plus W production in flavor changing vector and scalar models

2017

Institute for Research in Fundamental Sciences (IPM)

Topological Defects in Cosmology

2017

Institute for Research in Fundamental Sciences (IPM)

Dark Matter Detection Methods

2015

Physics Department at Sharif University of Technology

Quantum Aspects of Black Holes

2014

Philosophy of Science Department at Sharif University of Technology

What is life?

Senior Python Backend Engineer

Mar. 2024 - Present

Data Theorem , Calgary, AB, Canada

I was responsible to develop Neo4j cybersecurity knowledge graph, actions and APIs at Data Theorem

• Research and Development

• Utilize Neo4j graph database to build and use cybersecurity knowledge graph

• Implement CI/CD pipeline to deploy containers in CloudRun

Solutions Architect and Developer

Sep. 2022 - Present

Human Knowledge Graph , Calgary, AB, Canada

I am the Founder and Solution Architect of the Human Knowledge Graph (Knaph) project. I build this project to practice different AWS skills that I don't have opportunity to use in my official job. Furthermore, this is a very ambitious and long-term project to create an interconnected content of human knowledge and use graph techniques to identify the core ideas in human knowledge.

• Research and develop content

• Use AWS Identity and Access Management (IAM) to manage accounts

• Implement AWS Cognito for Customer Identity and Access Management (CIAM)

• Design a static website for the project using Amazon S3 for hosting and AWS CloudFront for caching

• Use Amazon Certificate Manager (ACM) to issue certificates for secure (HTTPS) connections

• Develop serverless codes using AWS Serverless Application Model (SAM), AWS API Gateway, AWS Lambda functions as the runtime, and AWS DynamoDB tables for database

• Develop CloudFormation and SAM templates for DevOps operation

• Use GitHub hooks, AWS CodeCommit and CodePipeline for CI/CD

• Use AWS CloudTrail to store events for audit and security purposes and implement AWS Athena to analyze data

• Use Django to develop a static website generator system considering SEO optimization best practices

Data Analyst and Data Engineer

Oct. 2022 - Feb. 2024

TELUS , Calgary, AB, Canada

I joined TELUS as a data analyst and data engineer and helped to improve performance, observability, security, and privacy on data collection and processing using both on-prem and cloud solutions

• Develop Google Cloud Infrastructe as Code with Terraform

• Develop CI/CD pipeline using GitHub Actions, Google CloudBuild and Artifacts Registry

• Develop and deploy containerized applications using Docker and Google Kubernetes Engines

• Optimize data pipeline and ETLs for faster performance using appropriate data structures and algorithms

• Develop custom data visualization application using Google MAPS JavaScript API and Google Cloud Platform

• Collaborate on developing codes and increasing data security and data privacy in the team

• Research on using new tools such as ELK and fit them into our organization's architecture

• Server and database (PostgreSQL) administration

• Develop automation codes using Python, Bash, and Selenium to replace the manual data flow processes

• Develop data mining codes to extract information from log files for automation and audit purposes

Data Engineer

Sep. 2022 - Dec. 2022

Mercator AI , Calgary, AB, Canada

Mercator AI is an exciting startup with the goal to revolutionize construction using data and AI. I joined Mercator AI as a data engineer to develop data ingestion pipelines.

• Develop ETL Pipelines using Python and Bash working with AWS S3

• Develop codes to extract and clean data from the following sources: APIs, Web pages, PDF Files, Spreadsheets

• Research on available solutions for different problems in the startup

• Use Apache Airflow to orchestrate data ingestion pipelines

Junior Python API Developer and Data Scientist

Nov. 2020 - Sep. 2022

Middle East Bank , Tehran, Iran

I was a backend developer and a data scientist who used technologies such as Python, Django, Oracle, and Machine Learning to do research on financial subjects and develop and deploy financial apps.

• Design data and application architecture for Business Financial Management (BFM) system, a service offered by Bank to its small business customers

• Build ETL pipelines and End-to-End machine learning pipelines to train on new data and deploy it to production

• Develop and deploy data model for bank governance using Neo4j graph database

• Design, implement and evaluate different machine learning models and optimize hyperparameters

• Sophisticated implementations of financial metrics such as NPV, IRR, and XIRR

• Use Natural Language Processing (NLP) techniques to classify customers' transactions based on the description of transactions

• Develop portfolio dashboard and other advanced reports using Pandas and Oracle PL/SQL

• Develop Interbank Transactions application for the Treasury Management System

PhD Researcher

Feb. 2017 - Aug. 2020

Institute for Research in Fundamental Sciences , Tehran, Iran

I was involved in the CMS experiment of CERN at IPM. I used the 2016 data to write and debug my code. The code is written in a way that can be easily updated according to continuous changes in the data analysis criteria. [Link]

• Read and transform CMS data using the High-Performance Computing infrastructure of CERN

• Develop a data analysis code using C++, Python, and Bash to define physics objects and apply selection rules to particles using 2016 data

• Hypothesis (A/B) testing using the inferential statistics methods

• Develop machine learning models to create better classifiers