Viral Parekh — AI Researcher

At Meesho, solving challenges around Catalog enrihment, Catalog QC, enabling competition via product match, and Reels moderation. Previously at Flipkart, I focused on leveraging Generative AI techniques to address diverse business challenges. My prior experience encompasses work in areas such as Image attribute extraction, Object detection, and streamlining catalog quality evaluations through the implementation of Computer Vision and Deep Learning methodologies. I have also worked on several image enhancement techniques like Super-Resolution etc. In addition to my professional endeavors, I've contributed to the academic community by presenting papers at esteemed peer-reviewed conferences including CVPR (workshop), VISAPP, and CODS-COMAD. I have MS by research degree from IIIT Hyderabad, where I was fortunate to be mentored by Prof. C. V. Jawahar and Dr. Ramanathan Subramanian at the distinguished Center for Visual Information Technology (CVIT). My academic focus primarily revolved around Computer Vision and Human-Computer Interface. My pre-MS experience entails serving as a Software Engineer at Samsung Research Institute, Noida (India), a rewarding tenure of 2 years where I actively contributed to the Android Telephony Framework. In my independent capacity as an Android developer, I've successfully released a series of Android applications on the Google Play Store, amassing a cumulative download count surpassing 300,000.

Stackforce AI infers this person is a Data Scientist specializing in Computer Vision and Generative AI within the tech industry.

Location: Bengaluru, Karnataka, India

Experience: 12 yrs 3 mos