An engineer passionate about intelligent systems and AI solutions, with a focus on bridging research and real-world applications. Strong background in machine learning, data processing, and AI theory. Values interdisciplinary collaboration, continuous learning, and human-centric technology.
I believe the most significant innovations occur in the space between a groundbreaking idea and its successful implementation. My career is dedicated to navigating and bridging that gap. I am deeply motivated by the intellectual challenge of translating a high-level vision, whether it's a new machine learning architecture or a novel approach to data analysis into a well-defined, executable plan.
This passion has led me to not only build software but also to contribute to scientific literature, where an idea must be refined to its logical essence to be shared effectively. For me, every project is a story of translation: from thought to design, from code to impact. My goal is to be the architect of that story, ensuring that even the most complex technologies are purposeful and human-centric.
Designed a deep learning pipeline to detect violence in video streams using MobileNetV2, with automated blurring for content moderation.
Researched and authored a paper on detecting deepfake images using OSINT and image processing. Evaluated models using InceptionV3, MobileNetV2, and a custom hybrid architecture.
Developed an AI system for analyzing chest X-rays and detecting various medical conditions using deep learning.
Profinch Solutions Pvt Ltd, Bengaluru, Karnataka
Profinch Solutions Pvt Ltd, Bengaluru, Karnataka
SRH University of Applied Sciences
Maharaja Institute of Technology