Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm Navid Yousefabadi, a Data Scientist and ML/AI Engineer with 10+ years of hands-on experience in statistical analysis and building production-grade end-to-end ML/AI systems. I specialize in ML model development and lifecycle, agentic workflows, model APIs, CI/CD, and IaC — consistently reducing manual effort by up to 85%. I'm equally adept as a backend engineer and cloud architect with a strong bias toward clean, test-driven code and iterative delivery. I thrive in cross-functional teams across manufacturing, tech, and research, translating business pain points into AI-driven products. My work spans data engineering, MLOps, and cloud architecture on Azure, with a track record of delivering scalable, reliable systems and measurable impact.…I'm Navid Yousefabadi, a Data Scientist and ML/AI Engineer with 10+ years of hands-on experience in statistical analysis and building production-grade end-to-end ML/AI systems. I specialize in ML model development and lifecycle, agentic workflows, model APIs, CI/CD, and IaC — consistently reducing manual effort by up to 85%. I'm equally adept as a backend engineer and cloud architect with a strong bias toward clean, test-driven code and iterative delivery. I thrive in cross-functional teams across manufacturing, tech, and research, translating business pain points into AI-driven products. My work spans data engineering, MLOps, and cloud architecture on Azure, with a track record of delivering scalable, reliable systems and measurable impact.

Navid Yousefabadi

Data Scientist, AI Engineer, Back-End Developer, +2





I'm Navid Yousefabadi, a Data Scientist and ML/AI Engineer with 10+ years of hands-on experience in statistical analysis and building production-grade end-to-end ML/AI systems. I specialize in ML model development and lifecycle, agentic workflows, model APIs, CI/CD, and IaC — consistently reducing manual effort by up to 85%. I'm equally adept as a backend engineer and cloud architect with a strong bias toward clean, test-driven code and iterative delivery. I thrive in cross-functional teams across manufacturing, tech, and research, translating business pain points into AI-driven products. My work spans data engineering, MLOps, and cloud architecture on Azure, with a track record of delivering scalable, reliable systems and measurable impact.…I'm Navid Yousefabadi, a Data Scientist and ML/AI Engineer with 10+ years of hands-on experience in statistical analysis and building production-grade end-to-end ML/AI systems. I specialize in ML model development and lifecycle, agentic workflows, model APIs, CI/CD, and IaC — consistently reducing manual effort by up to 85%. I'm equally adept as a backend engineer and cloud architect with a strong bias toward clean, test-driven code and iterative delivery. I thrive in cross-functional teams across manufacturing, tech, and research, translating business pain points into AI-driven products. My work spans data engineering, MLOps, and cloud architecture on Azure, with a track record of delivering scalable, reliable systems and measurable impact.

Available to hire

I’m Navid Yousefabadi, a Data Scientist and ML/AI Engineer with 10+ years of hands-on experience in statistical analysis and building production-grade end-to-end ML/AI systems. I specialize in ML model development and lifecycle, agentic workflows, model APIs, CI/CD, and IaC — consistently reducing manual effort by up to 85%. I’m equally adept as a backend engineer and cloud architect with a strong bias toward clean, test-driven code and iterative delivery.

I thrive in cross-functional teams across manufacturing, tech, and research, translating business pain points into AI-driven products. My work spans data engineering, MLOps, and cloud architecture on Azure, with a track record of delivering scalable, reliable systems and measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

MLOps Engineer at WorkSafeBC

July 1, 2025 - Present

Engineered a fully automated, multi-stage ML lifecycle using Azure DevOps CI/CD, bridging model training, validation, and multi-environment deployment (Staging/Production). Developed a post-deployment monitoring suite tracking API health and data/concept drift; built a triage workflow to distinguish transient infrastructure glitches from systemic model degradation.

Data Scientist at Fabwell Industries Inc.

April 1, 2024 - July 1, 2025

Architected an LLM-powered automation platform (RAG + hybrid semantic search) that cut manual fabrication workflows by 40% and operational costs by 25%. Built a design-assistant microservice orchestrating GPT-4 API calls with caching and rate-limit management on Azure Kubernetes nodes, sustaining <150 ms end-to-end latency for shop-floor queries. Developed a LangChain-based document-intelligence pipeline with Claude 3 Sonnet and version-control via MLflow & DVC. Managed end-to-end data pipelines on Azure Databricks with Delta Lake for scalable, ACID data lakes.

Sessional Instructor at University of Calgary

January 1, 2024 - April 1, 2024

Developed and delivered graduate-level Reinforcement Learning courses with hands-on projects in TensorFlow Agents and OpenAI Gym; achieved high student ratings and practical exposure to RL workflows.

Data Scientist at Correct-AI

September 1, 2023 - December 1, 2023

Reduced image-annotation effort by 80% through a CUDA-accelerated active-learning pipeline integrated with PyTorch-based vision models; introduced GitHub Actions CI/CD and an inference-monitoring dashboard (Prometheus + Grafana).

Data Scientist at Kuva Systems Inc.

October 1, 2022 - September 1, 2023

Developed and deployed real-time ML pipelines for methane leak detection using infrared imagery with 95% detection accuracy and <100 ms inference latency. Built end-to-end Azure ML + Kubernetes workflows with DVC and MLflow for dataset and experiment versioning; automated model retraining based on data drift metrics. Designed real-time and batch data pipelines using Kafka, FastAPI, and Redis.

Data Scientist at Big Data Analytics Ltd.

October 1, 2017 - October 1, 2022

Developed RL-driven predictive maintenance models for industrial clients, reducing downtime by 35%. Designed a 2 TB+/day Kafka-Spark ETL pipeline and Neo4j knowledge graph powering real-time dashboards. Built RESTful APIs for model inference and championed containerization and Terraform-based IaC to shrink deployment cycles from weeks to hours.

Electromagnetic Specialist at DVT Solutions Inc.

March 1, 2017 - October 1, 2017

Reduced EMC fault-diagnosis cost via a novel electromagnetic-field visualization tool built with OpenGL, C++, and .NET, enabling non-technical users to interpret complex EM data.

Research Assistant at University of Calgary

September 1, 2014 - December 1, 2016

Conducted hypothesis testing to discriminate between competing physics theories.

Research Assistant at Dalhousie University

January 1, 2010 - October 1, 2013

Built multiprocessing high-performance C++ simulations of adiabatic quantum computers.