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I am a PhD-qualified Software Engineer specializing in applied machine learning and system performance diagnosis, with deep expertise in developing ML pipelines and analyzing distributed systems. Passionate about leveraging advanced technologies like deep learning, NLP, and transformer models to solve complex performance issues in microservice architectures. I have a strong research background with multiple publications, hands-on experience in PyTorch, TensorFlow, and OpenAI API, and a proactive approach to integrating AI research into production systems. I enjoy collaborating across academic and industry teams to push the boundaries of intelligent systems and performance monitoring.…I am a PhD-qualified Software Engineer specializing in applied machine learning and system performance diagnosis, with deep expertise in developing ML pipelines and analyzing distributed systems. Passionate about leveraging advanced technologies like deep learning, NLP, and transformer models to solve complex performance issues in microservice architectures. I have a strong research background with multiple publications, hands-on experience in PyTorch, TensorFlow, and OpenAI API, and a proactive approach to integrating AI research into production systems. I enjoy collaborating across academic and industry teams to push the boundaries of intelligent systems and performance monitoring.

Masoumeh Nourollahi

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I am a PhD-qualified Software Engineer specializing in applied machine learning and system performance diagnosis, with deep expertise in developing ML pipelines and analyzing distributed systems. Passionate about leveraging advanced technologies like deep learning, NLP, and transformer models to solve complex performance issues in microservice architectures. I have a strong research background with multiple publications, hands-on experience in PyTorch, TensorFlow, and OpenAI API, and a proactive approach to integrating AI research into production systems. I enjoy collaborating across academic and industry teams to push the boundaries of intelligent systems and performance monitoring.…I am a PhD-qualified Software Engineer specializing in applied machine learning and system performance diagnosis, with deep expertise in developing ML pipelines and analyzing distributed systems. Passionate about leveraging advanced technologies like deep learning, NLP, and transformer models to solve complex performance issues in microservice architectures. I have a strong research background with multiple publications, hands-on experience in PyTorch, TensorFlow, and OpenAI API, and a proactive approach to integrating AI research into production systems. I enjoy collaborating across academic and industry teams to push the boundaries of intelligent systems and performance monitoring.

Available to hire

I am a PhD-qualified Software Engineer specializing in applied machine learning and system performance diagnosis, with deep expertise in developing ML pipelines and analyzing distributed systems. Passionate about leveraging advanced technologies like deep learning, NLP, and transformer models to solve complex performance issues in microservice architectures.

I have a strong research background with multiple publications, hands-on experience in PyTorch, TensorFlow, and OpenAI API, and a proactive approach to integrating AI research into production systems. I enjoy collaborating across academic and industry teams to push the boundaries of intelligent systems and performance monitoring.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Doctoral Researcher at Polytechnique Montréal

January 1, 2020 - Present

Led research and practical implementation of machine learning pipelines to detect software performance anti-patterns in distributed microservice environments. Applied deep learning models and graph-based techniques for runtime behavior analysis and bottleneck localization. Developed automated workflows for data processing and model evaluation on large trace datasets. Integrated OpenTelemetry for observability and deployed containerized testbeds simulating production workloads. Collaborated with academia and industry for peer-reviewed publications and contributed open-source tools for performance analytics.

Quality Control Specialist – Performance and QA Engineering at MTNI (Telecom BSS)

December 31, 2019 - September 4, 2025

Led performance engineering for telecom business support systems, including KPI definition, load and stress testing, and root cause analysis across BSS modules. Designed automated regression and performance test plans using JMeter and custom scripts. Monitored system performance with Dynatrace and supported CI/CD pipelines with Git and Jenkins. Developed tools for operational metric extraction and contributed to large-scale digital transformation and upgrade initiatives, achieving a 34% defect reduction post-release.