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Mohammad Sadeghi, Ph.D. Email & Phone Number

AI Engineer III at E Source
Location: Ottawa, Ontario, Canada 11 work roles 3 schools
1 work email found @figbytes.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Work email m****@figbytes.com
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Current company
Role
AI Engineer III
Location
Ottawa, Ontario, Canada
Company size

Who is Mohammad Sadeghi, Ph.D.? Overview

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Quick answer

Mohammad Sadeghi, Ph.D. is listed as AI Engineer III at E Source, a with 443 employees, based in Ottawa, Ontario, Canada. AeroLeads shows a work email signal at figbytes.com and a matched LinkedIn profile for Mohammad Sadeghi, Ph.D..

Mohammad Sadeghi, Ph.D. previously worked as Machine Learning Engineer at Amcs (Formerly Figbytes Inc.) and Adjunct Professor at Lambton College Ottawa. Mohammad Sadeghi, Ph.D. holds Doctor Of Philosophy - Phd, Electrical, Electronics And Communications Engineering, Gpa: 4/4 from University Of Ottawa.

Company email context

Email format at E Source

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*@figbytes.com
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Profile bio

About Mohammad Sadeghi, Ph.D.

Enthusiast electrical and computer engineering Ph.D. with +5 years of experience in academia and industry, focusing on applying AI-based and optimization-based methods to real-world problems.

Listed skills include Matlab, C++, Programming, Simulations, and 9 others.

Current workplace

Mohammad Sadeghi, Ph.D.'s current company

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E Source
E Source
AI Engineer III
Ottawa, ON, CA
Website
Employees
443
AeroLeads page
11 roles

Mohammad Sadeghi, Ph.D. work experience

A career timeline built from the work history available for this profile.

Ai Engineer Iii

Ottawa, On, Ca

Machine Learning Engineer

Ottawa, Ontario, Canada

- Applied machine learning to predict scope 3 carbon emissions using variables from financial statements and scope 1 and 2 emissions data, enabling companies to estimate sustainability impacts when records or direct calculations of scope 3 values are unavailable.- Led the development of an innovative carbon accounting Co-pilot using LangChain and LlamaIndex, enhancing environmental impact analysis with advanced LLM and RAG-based sustainability solutions.- Implemented LangChain agents to connect to SQL databases, building a DB agent that translates natural language to SQL code, enabling non-technical customers to retrieve their desired queries without SQL knowledge.- Developed models using ARIMA, AutoARIMA, ensemble methods, and TimeGPT to forecast future emissions based on historical data, aiding customers in better planning their net-zero mission (scenario analysis).- Deployed a scalable data pipeline on Azure Databricks using PySpark/Python and Spark SQL, incorporating Medallion Architecture and Star Schema to extract, transform, and load large-scale carbon emission data.- Utilized Power BI to perform exploratory data analysis and translate them to interactive reports, documentation, and dashboards that visually represent carbon emission data, enabling stakeholders to easily understand trends and identify opportunities for reducing carbon footprints.- Collaborated with cross-functional teams to develop analytical briefs, data-driven strategies, and sustainability solutions resulting in significant reductions in carbon emissions for client businesses.

Adjunct Professor

Ottawa, Ontario, Canada

- Teach SQL and database design concepts, including data modeling, ERDs, normalization, complex queries, and database manipulation techniques.- Evaluate student performance through assignments, in-class labs, and comprehensive tests on database design and SQL.

Machine Learning Engineer

Ottawa, Ontario, Canada

-Developing a deep learning model in Python to evaluate the chance of Canada students visa for a particular applicant.-Implemented data preprocessing, data augmentation, exploratory data analysis and, visualization and deployment of ML model on cloud services (AWS and GCP).

Mar 2022 - Jun 2022

Research Assistant

Ottawa, Canada Area

- Implemented state-of-the-art Bayesian Reinforcement Learning methods in MATLAB to address energy trading problems in multi-agent microgrid systems.- Implemented DQN-based methods using TensorFlow in Python and MATLAB Reinforcement Learning Toolbox to address scalability in populated multi-agent microgrid systems.- Conducted state-of-the-art research on edge caching and computing in 5G for mobile AR/VR and tactile internet.- Managed a team of graduate-level students, providing mentoring and development opportunities to broaden their skill set and experience. Assigned and approved research projects, and provided guidance and support to help them publish technical research papers.

Aug 2017 - Apr 2022

Teaching Assistant

Ottawa, Canada Area

-Teaching fundamentals of data communications and networks through problem-solving sessions.-Conducting MATLAB-based, JAVA-based, and Python-based lab sessions to simulate and analyze wireless networks.

Jan 2018 - Mar 2022

Mitacs Machine Learning Intern

Ottawa, Ontario, Canada

-Developing deep reinforcement learning algorithms for contention window tuning to optimize performance in enterprise WiFi (IEEE 802.11ax) Networks.-Implementing realistic WiFi typologies in network simulation environment ns-3.-Using the ns3-gym framework to connect ns-3 with OpenAI Gym for deep reinforcement learning analysis.-Implementing two trainable deep reinforcement learning algorithms: DQN in TensorFlow and deep deterministic policy gradient (DDPG) in Pytorch.

Jul 2021 - Dec 2021

Research And Development Scientist

Suasis Underwater Systems

Istanbul, Turkey

-Development and Implementation of USRP-based adaptive MIMO-OFDM underwater acoustic communication modem.-Developing a realistic underwater acoustic simulation environment in MATLAB to develop adaptive MIMO-OFDM algorithms.- Implementing Adaptive MIMO-OFDM algorithms, channel estimation, equalization, and frequency synchronization in LabVIEW for real-life testing with USRPs.-Testing full-duplex adaptive MIMO-OFDM underwater acoustic modem in pool environment using NI USRPs interfaced with hydrophone front-ends for acoustic transmission.

May 2015 - Jul 2017

Research Assistant

Istanbul, Turkey

CT&T Research Group is lead by Prof Murat Uysal and conducts fundamental and applied research on the physical layer aspects of communication systems. Current research projects address cooperative (relay-assisted) transmission, cognitive radio, underwater communication systems, visible light communications, free-space optical communications, and vehicular networking among others.

Feb 2015 - Jun 2017
Team & coworkers

Colleagues at E Source

Other employees you can reach at esource.com. View company contacts for 443 employees →

3 education records

Mohammad Sadeghi, Ph.D. education

Doctor Of Philosophy - Phd, Electrical, Electronics And Communications Engineering, Gpa: 4/4

Thesis Title: Cost and Power Loss Aware Coalitions under Uncertainty in Transactive Energy Systems

Master'S Degree, Electrical And Electronics Engineering, Overall Gpa: 3.86/4

Thesis Title: Adaptive OFDM-based acoustic underwater transmission: system design and experimental verification

FAQ

Frequently asked questions about Mohammad Sadeghi, Ph.D.

Quick answers generated from the profile data available on this page.

What company does Mohammad Sadeghi, Ph.D. work for?

Mohammad Sadeghi, Ph.D. works for E Source.

What is Mohammad Sadeghi, Ph.D.'s role at E Source?

Mohammad Sadeghi, Ph.D. is listed as AI Engineer III at E Source.

What is Mohammad Sadeghi, Ph.D.'s email address?

AeroLeads has found 1 work email signal at @figbytes.com for Mohammad Sadeghi, Ph.D. at E Source.

Where is Mohammad Sadeghi, Ph.D. based?

Mohammad Sadeghi, Ph.D. is based in Ottawa, Ontario, Canada while working with E Source.

What companies has Mohammad Sadeghi, Ph.D. worked for?

Mohammad Sadeghi, Ph.D. has worked for E Source, Amcs (Formerly Figbytes Inc.), Lambton College Ottawa, Immigratic, and University Of Ottawa.

Who are Mohammad Sadeghi, Ph.D.'s colleagues at E Source?

Mohammad Sadeghi, Ph.D.'s colleagues at E Source include S Warman, Dean Chuang, Brenna Raeder, Adam Stotz, and Kirk (Arthur) Venables.

How can I contact Mohammad Sadeghi, Ph.D.?

You can use AeroLeads to view verified contact signals for Mohammad Sadeghi, Ph.D. at E Source, including work email, phone, and LinkedIn data when available.

What schools did Mohammad Sadeghi, Ph.D. attend?

Mohammad Sadeghi, Ph.D. holds Doctor Of Philosophy - Phd, Electrical, Electronics And Communications Engineering, Gpa: 4/4 from University Of Ottawa.

What skills is Mohammad Sadeghi, Ph.D. known for?

Mohammad Sadeghi, Ph.D. is listed with skills including Matlab, C++, Programming, Simulations, Algorithms, C, Latex, and Python.

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