Vaibhav Isloor
Software Engineer | B.Tech Computer Science (PES University)
vaibhav-isloor
Bengaluru, Karnataka, India
55 connections
Joined May 2026
Summary
Early-career software engineer bridging academic research and product-focused development. Vaibhav is a B.Tech Computer Science student (PES University, graduating 2025) who has transitioned into a Software Engineer role at Zebra Technologies after an internship, indicating a move from scholastic projects to industry work. vaibhavisloor
Hands-on full‑stack and Python developer with multiple personal repositories and web projects. Public repositories and his personal site document frontend and backend work (example: a Netflix-clone frontend and a reverse proxy server) and roles described as Full Stack and Python Developer. github+2
Active in applied AI research and academic publishing, particularly on deepfake localization. Coauthored an ICCAI/IEEE conference paper that describes a U-Net–based approach to localizing manipulated facial regions, showing engagement with computer-vision research during undergraduate study. ieee+1
Combines technical work with creative and communication skills (video editing, writing). Credits include visual editing for an OIE training report and personal long-form writing on Medium about focus and productivity, indicating interest in clear communication and multimedia. woah+1
Work
Education
Projects
Writing
Why Most 20-Somethings Struggle With Focus (And How I’m Fixing It)
September 1, 2025Personal Medium essay reflecting on attention challenges faced by people in their 20s and outlining practical strategies the author uses to build focus (morning routines, deep work blocks, dopamine management, environment design, nightly reflection ritual).
Localization of Deepfake Facial Images Through U-NET Architecture
January 1, 2025Conference paper proposing a U-Net–based approach augmented with HOG features and CAM-to-HSV visualization to localize manipulated regions in deepfake facial images, with contour detection and landmark-based textual descriptions used to quantify and explain manipulations.