FVFabian Vakhidi
@fabianvakhidi
Senior Machine Learning Engineer with expertise in robotics and AI.
NorwayWhat I'm looking for
I am a Senior Machine Learning Engineer with a robust background in robotics and computer vision. With a Master’s in Mechanical Engineering (Robotics & AI) from the Norwegian University of Science and Technology (NTNU) and over four years of hands-on experience, I specialize in developing and deploying machine learning systems in cloud-native environments. My journey has led me to found NewsLens, a project focused on political bias detection using LLMs, showcasing my commitment to leveraging AI for impactful applications.
In my current role as a Senior Software Developer at S5 Consulting, I lead the integration of machine learning systems into enterprise cloud platforms, optimizing for performance and cost-efficiency. My work involves architecting cross-cloud data-driven systems and integrating advanced ML components for automation in supply chain forecasting. I thrive in agile environments, collaborating with cross-functional teams to translate complex business needs into high-performance engineering solutions.
My academic background has equipped me with a strong foundation in mathematical modeling and optimization techniques, which I apply to enhance machine learning workflows. I am passionate about bridging the gap between advanced research and real-world deployment, ensuring that innovative solutions are not only theoretical but also practical and impactful.
Experience
Work history, roles, and key accomplishments
Senior Software Developer
S5 Consulting
May 2024 - Present (1 year 2 months)
Led ML system integration in enterprise cloud platforms, including model deployment, scaling, and inference optimization for supply chain forecasting and automation. Architected and deployed cross-cloud data-driven systems, optimizing for performance, reliability, and cost-efficiency in production environments.
Founder & AI Developer
NewsLens
Dec 2023 - Present (1 year 7 months)
Designed and built NewsLens, a research-focused side project using LLMs to analyze political bias, tone, and framing in media articles. Created a custom classifier model fine-tuned to detect political and emotional bias in news sentences, trained on curated datasets.
Software Developer
Deloitte
Aug 2022 - Present (2 years 11 months)
Designed and deployed backend infrastructure to support ML-driven services, including distributed APIs for real-time analytics and automated data pipelines. Collaborated in designing and developing backend systems, microservices, and scalable frontends, with a focus on API-first architecture and reliable data pipelines.
Teaching Assistant
Norwegian University of Science and Technology
Jan 2022 - Present (3 years 6 months)
Supported the delivery of a graduate-level course on robot vision, geometric methods, and camera calibration, with emphasis on real-world applications in industrial robotics. Guided students through end-to-end implementation of 2D/3D vision models and real-time pose estimation pipelines using PyTorch and OpenCV.
Intern at Digitalization and Automation Department
Equinor ASA
Jun 2021 - Present (4 years 1 month)
Developed a digital utility management system to support the monitoring and deployment of robotic and drone infrastructure at onshore industrial sites. Designed scalable, cloud-integrated components for real-time equipment tracking, resource allocation, and predictive maintenance using Python and modern data tooling.
Education
Degrees, certifications, and relevant coursework
OUOslo Metropolitan University
BSc Mechanical Engineering, Mechanical Engineering
2017 - 2020
Grade: 3.54 / 5.00
Activities and societies: Bachelor’s Thesis: Structural Design and Stress Analysis Oil Platform (Grade: B) Led structural analysis and design optimization of load-bearing systems for offshore oil and gas platforms, applying finite element methods (FEM) under safety-critical and real-world operational constraints. The program established a solid technical foundation for advanced study in AI, robotics, and computational modeling during the Master’s program at NTNU.
Completed a rigorous engineering curriculum with emphasis on applied mathematics, materials science, structural mechanics, and computational thermodynamics, fostering strong analytical reasoning and quantitative modeling skills. Gained practical experience in numerical simulation, stress analysis, and mechanical system design, using tools such as ANSYS, SolidWorks, and MATLAB for modeling, validat
Tech stack
Software and tools used professionally
Availability
Location
NorwayAuthorized to work in
Job categories
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