Master of Science (MS) by Research, Engineering Design

Jan 2024 - Jun 2026

• Research Focus: Computer Vision and Medical Image Analysis
• Advisor: Dr. Ganapathy Krishnamurthi
• CGPA: 8.0/10

Bachelor of Technology (B.Tech), Electronics and Communication Engineering

2018 - 2022

• CGPA: 9.42/10

Project Officer

Jul 2026 - Present • Chennai, India

• Working on CPIS+, a multimodal deep learning framework augmenting the Clinical Pulmonary Infection Score (CPIS) for early prediction of Ventilator-Associated Pneumonia (VAP) before clinical onset

Research Assistant

Jan 2024 - Jun 2026 • Chennai, India

• Designed a novel, efficient multi-domain neural network for single-image super-resolution, combining deep learning with classical transforms (Laplacian, Fourier) to produce interpretable reconstructions
• Engineered an agentic AI system leveraging LLMs, retrieval-augmented generation, and knowledge graphs to structure free-form radiology reports with clinical grounding for diagnostic workflows
• Led end-to-end pre-processing and augmentation of large-scale, multi-modality medical imaging datasets to train and validate deep learning models with an emphasis on explainability

Software Engineer

Jun 2022 - Jun 2026 • Chennai & Puducherry, India

• Led full-stack development and launch of JeevanCloud, a remote patient-monitoring platform (Flutter, Django, WebSockets, Redis, PostgreSQL) for real-time data processing
• Built and deployed the IoT mobile application for the JeevanLite ICU ventilator in Flutter and native Android with an end-to-end CI/CD pipeline
• Optimized embedded firmware for the ventilator across STM32 and NRF microcontrollers, stabilizing performance across pressure, flow, oxygen, and mass sensor arrays

Software Development Intern

Oct 2020 - May 2022 • Puducherry, India

• Developed embedded-C algorithms for real-time flow-rate and volumetry estimation in mechanical ventilation using differential pressure sensors
• Designed a frame-based data protocol with flow control and error correction for robust BLE transfer between the ventilator hardware (NRF52832) and the mobile application