We keep on growing from an R&D perspective at Essensium. Hence, welcome Omid Gheibi to Jan’s European R&D team. Omid has a bachelor’s degree in Computer Science and a master’s degree in Artificial Intelligence. With five years of industry experience as a software engineer and data scientist, he pursued a PhD in Computer Sciences at Katholieke Universiteit Leuven. His doctoral research focused on machine learning-enabled self-adaptive systems, with applications in IoT, digital healthcare, and self-driving cars. Omid was particularly drawn to Essensium’s Positioning System for its autonomous safety features.

Let’s find out more about his role in the R&D team/engineering team and discover also something about Omid’s life outside work.

 

  • Can you tell us a bit about your responsibilities?

Certainly! My role encompasses a range of responsibilities aimed at ensuring the safety and efficiency of warehouse operations through our web portal. Primarily, I am tasked with maintaining and developing the web portal using Python for the backend and Vue.js for the frontend. This involves handling data storage, ensuring secure and efficient data handling, and creating intuitive data representations for our operations team and customers.

Additionally, I focus on data analysis to derive meaningful insights and develop digital twins of our systems. This includes defining key performance indicators (KPIs) and performing data classification and explainability analysis. The goal is to ensure our positioning devices and control systems for forklifts are functioning correctly and to identify any potential issues before they become problems.

  • What’s the best thing about your job?

The best thing about my job is the opportunity to blend technology with tangible real-world impact. Working on the web portal and data analysis not only allows me to apply my technical skills but also contributes to enhancing SafeTrack’s digital twin, a key portal driving safety and efficiency in warehouse operations. The challenge of transforming complex data into actionable insights and seeing the positive outcomes of our efforts in real-time operations is incredibly rewarding. 

  • What are the biggest challenges in your work?

One of the biggest challenges is ensuring data accuracy and integrity across our systems. Since our solutions directly impact safety, any data inaccuracies can have significant consequences. Therefore, maintaining high standards of data quality and implementing robust validation processes is crucial. Another challenge is staying up-to-date with the latest technological advancements and integrating them into our systems while ensuring minimal disruption to ongoing operations.

  • What do you do in your free time?

Spend time with my family (my wife and son), and study or listen to podcasts about philosophy and mathematics. Additionally, I dedicated some time to personal projects related to my expertise in machine learning applications in software systems aligned with the direction of my PhD studies.

  • Which things are on your bucket list – what do you absolutely want to have done?

There are a few things on my bucket list that I’m especially passionate about. Professionally, I aspire to lead a project focused on universal autonomy, approaching Artificial General Intelligence (AGI), and even undertake some projects in space. Personally, I want to travel to various parts of the world, including the South Pole.