Bengaluru, Karnataka, India
• Developed Conditional Consistency Models (CCMs) for multi-domain image translation tasks under the guidance of Prof. A. V. Subramanyam. • Evaluated CCMs on 10 diverse datasets, showcasing effectiveness in generating high-quality translated images. • Achieved significant results in cross-modal translation and low-light image enhancement. Research Paper Link: https://shorturl.at/zAXwH
• Developed Keimdall, a machine learning driven tool for automated anomaly detection in Kubernetes logs, achieving a 75% reduction in Mean Time to Identify (MTTI) at LinkedIn. • Addressed challenges in log diversity, volume, and noise filtering, significantly enhancing system reliability. • Saved over 60 hours annually, showcasing strong problem-solving skills and technical expertise.