Utkarsh Trehan

Background

About Utkarsh Trehan

I'm passionate about using technology to solve real-world business problems — with depth and curiosity. My journey began with a Bachelor's in Electronics and Communication Engineering and evolved through a Master’s in Data Science and Engineering, enriched by self-driven learning and hands-on projects. While I may not be a deep specialist in a single niche, my broad technological toolkit doesn’t dilute my expertise — it empowers me to bridge domains, connect the dots, and engineer solutions that are both creative and efficient. I approach problems with an end-to-end mindset — investing time upfront to understand context deeply before writing a line of code. I thrive in collaborative environments, but I’m equally comfortable taking initiative and owning solutions from idea to deployment. My time in research helped shape this perspective. During my Master’s, I worked on projects that stretched the boundaries of applied AI. SpectraINET, a wavelet-based CNN model for hyperspectral image classification, achieved state-of-the-art performance and was later published. I also explored adversarial robustness and model interpretability through a Grad-CAM generalization project, which I presented at CVPR workshops. These experiences deepened my belief in building systems that are not only intelligent but also rigorous and explainable. In essence, I’m a data science professional with a perpetual thirst for learning — one who enjoys bridging research and application to create meaningful impact.