Mar 2025 – Aug 2025 · 5 mos · Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates · On-site

Nov 2022 – Aug 2024 · 1 yr 9 mos · Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates · On-site

• Data science | MLOps

Aug 2022 – Apr 2025 · 2 yrs 8 mos · Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates · Hybrid

Feb 2021 – Aug 2022 · 1 yr 6 mos · Bangalore Urban, Karnataka, India

• Engineered a multi-tenant architecture for the business logic layer, dramatically reducing inference time by 10x, and significantly enhancing system efficiency and performance.
• Advanced the object detection system from single-class to multi-class detection and tracking, broadening the module's capabilities and application scope.
• Acted as a pivotal member of the design committee for a next-generation AI platform, contributing to strategic planning and innovative solutions.

Mar 2019 – Mar 2021 · 2 yrs · Bengaluru, Karnataka, India · On-site

• Designed and developed a MLOps infrastructure from scratch, optimizing AI model management, resulting in a 50% reduction in re-training time and a 75% decrease in AWS costs. Achieved rapid production deployment and comprehensive tracking, shortening the POC to production cycle to just 3 days, utilizing Metaflow and AWS Services for complete ML lifecycle management.
• Developed AI models to automate case report section suggestions for junior doctors, reducing their workload by 20% and enhancing report accuracy.
• Contributed to a variety of projects, including fundus grading, development of an ML visualization library, X-Ray analytics, and initiatives to optimize doctor workload, demonstrating versatility and impact across healthcare AI applications.

Dec 2018 – Mar 2019 · 3 mos

• Led the OCT analysis clinical study for DME classification, achieving key milestones in medical imaging research.
• Developed and managed the Dipstick Analyzer project, overseeing everything from synthetic data collection to model development for 7-parameter analysis, including innovative image normalization and clustering algorithms.

Feb 2018 – Dec 2018 · 10 mos

• Revolutionized DR grading with a novel CNN, enhancing classification and detection, leading to two successful clinical studies and AI service deployment.
• Led DME OCT scan classification, achieving a clinical study milestone before strategic discontinuation.
• Obtained a patent for a groundbreaking enhancement in CNN architecture for DR/OCT analysis.
• Integrated Unet architecture into the AI platform, enabling advanced segmentation model training.

Mar 2017 – Jan 2018 · 10 mos

• Revamped WBC extraction with a Computer Vision algorithm, boosting recall from 60% to 98%, pivotal in a major clinical trial's success. Published findings at MICCAI 2017.
• Overhauled WBC screening and classification models, employing diverse architectures and visualization techniques to rectify misclassifications and enhance data quality, resulting in a 34% performance increase.
• Led rigorous testing and optimization of 100+ model variations, achieving a significant leap in accuracy to 96%, demonstrating a committed, iterative approach to model enhancement.

May 2015 – Jul 2015 · 2 mos · Singapore

• Led GUI design for data classification, incorporating Stacked Auto-encoders and Deep Belief Networks for enhanced accuracy.
• Advanced expertise in neural network architectures, optimizing data processing efficiency.
• Developed a user-friendly MATLAB GUIDE interface, simplifying data input and classification for users.

May 2014 – Jul 2014 · 2 mos · Bengaluru Area, India · On-site

• Conducted extensive research on advanced image watermarking, evaluating effectiveness in both spatial and frequency domains using Discrete Wavelet Transform (DWT), enhancing image authenticity and integrity verification.
• Implemented Advanced Encryption Standard (AES) and Arnold transformation methodologies for robust image encryption, significantly improving confidentiality.
• Successfully integrated watermarking with 16-bit AES encryption, delivering a comprehensive and secure image protection solution tailored for defense communications.