I am a data scientist and software engineer based in Montreal with hands-on experience across web application development, systems engineering, AI research, machine learning, and cloud-based service delivery. I previously served as a Graduate Research Assistant at Ericsson Canada, contributing to energy-efficient 5G deployments and AI-powered optimization of data plane functions. I excel in Python and C#, and bring practical experience with AWS services including Lambda, API Gateway, and EC2. I work with serverless architectures, microservices, infrastructure as code, and containerized deployments using Docker and Kubernetes. I am passionate about bridging research and production through MLops and applied AI to deliver scalable, reliable solutions.

Khadijeh Shahsavand

I am a data scientist and software engineer based in Montreal with hands-on experience across web application development, systems engineering, AI research, machine learning, and cloud-based service delivery. I previously served as a Graduate Research Assistant at Ericsson Canada, contributing to energy-efficient 5G deployments and AI-powered optimization of data plane functions. I excel in Python and C#, and bring practical experience with AWS services including Lambda, API Gateway, and EC2. I work with serverless architectures, microservices, infrastructure as code, and containerized deployments using Docker and Kubernetes. I am passionate about bridging research and production through MLops and applied AI to deliver scalable, reliable solutions.

Available to hire

I am a data scientist and software engineer based in Montreal with hands-on experience across web application development, systems engineering, AI research, machine learning, and cloud-based service delivery. I previously served as a Graduate Research Assistant at Ericsson Canada, contributing to energy-efficient 5G deployments and AI-powered optimization of data plane functions. I excel in Python and C#, and bring practical experience with AWS services including Lambda, API Gateway, and EC2. I work with serverless architectures, microservices, infrastructure as code, and containerized deployments using Docker and Kubernetes. I am passionate about bridging research and production through MLops and applied AI to deliver scalable, reliable solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
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Intermediate
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Language

English
Advanced
French
Beginner

Work Experience

Graduate Research Assistant at Ericsson – Concordia University
May 1, 2023 - Present
Designed and implemented algorithms for energy-efficient embedding of 5G user plane network functions chains over heterogeneous platforms (VMs, containers, bare-metal), optimizing QoS-aware placement and routing. Developed scalable solutions including a heuristic algorithm and a Graph Attention Network (GAT)-enhanced Deep Reinforcement Learning framework for adaptive decision-making. Achieved up to 38% reduction in power consumption and 49% improvement in service acceptance rate on large-scale network topologies; contributed to publications and ongoing research outcomes.
Full Stack Developer and System Analyst at Dana Insurance Company
May 1, 2017 - August 1, 2022
Developed and maintained multiple web-based insurance systems (including life insurance platforms) and implemented RESTful APIs for mobile and enterprise applications, improving system integration and scalability. Analyzed business requirements, designed robust software architectures, performed comprehensive testing, and optimized database operations and scheduled jobs. Implemented machine learning solutions including NLP projects and fraud detection to support data-driven decision-making and risk analysis.
Full Stack Developer at Charheh Dadehay Sabz
June 1, 2016 - July 1, 2017
Developed and deployed web-based applications, including a workflow management system for the Iranian National Gas Organization, improving process automation and operational efficiency. Designed and implemented RESTful APIs to enable seamless communication between system components and external services. Conducted system analysis and produced technical documentation to support maintainability and future system enhancements.

Education

PhD in Information and System Engineering at Concordia University
September 1, 2022 - May 11, 2026
Master of Software Engineering at Shiraz University
September 1, 2014 - March 1, 2017
Bachelor of Science in Computer Engineering: Software Engineering at Bu-Ali Sina University
September 1, 2009 - September 1, 2013

Qualifications

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Industry Experience

Telecommunications, Software & Internet, Education, Energy & Utilities, Financial Services, Professional Services