AI | PhD | NYU | NITT | IISc | Independent Director · Bengaluru, Karnataka, India
I'm a researcher and AI practitioner passionate about leveraging data science and deep learning to advance healthcare systems. Currently, I serve as Program Manager at TANUH, overseeing AI infrastructure for breast cancer screening and triaging, and as an Independent Director at Shanmuga Hospital Salem, focusing on corporate governance and process automation. I hold a Ph.D. in Mechanical Engineering from New York University (NYU), with a dissertation on Technology Translation of Medical Devices for Rehabilitation and Therapeutics.
Program Manager · TANUH (Oct 2025 – Present)
- Overseeing AI infrastructure for breast cancer screening and triaging.
Artificial Intelligence Lead · Certainti.AI (Jan 2025 – Dec 2025)
- Led development of AI-driven research and development tax credits using document intelligence workflows.
Visiting Research Fellow · Qatar University (Dec 2024 – Jan 2025)
- Data-driven modeling of corrosion inhibition.
Independent Director · Shanmuga Hospital Salem (May 2024 – Present)
- Chair of Stakeholder Relationship Committee; involved in SME listing and corporate governance.
Postdoctoral Researcher · Indian Institute of Science (IISc) (Apr 2024 – Apr 2025)
- Focus on AI in Digital Health and Imaging at the Medical Image Group, Computational Data Sciences.
Principal Consultant · Om Raaj Solar and Wind Power Private Limited (Jun 2021 – Aug 2024)
- Research and Techno-economic feasibility for 16 MW Solar EPC powerplant.
Research Assistant · New York University (Sep 2015 – May 2020)
Teaching Assistant · New York University (Sep 2013 – Aug 2015)
Assistant Design Engineer · MECON LIMITED (Jul 2011 – Aug 2013)
Ph.D. in Mechanical Engineering · New York University (2015 – 2020)
- Dissertation: Technology Translation of Medical Devices for Rehabilitation and Therapeutics
Advanced Certificate for AI in Digital Health · Indian Institute of Science (IISc) (2023 – 2024)
- Grade: A · Project: Brain Tumour Segmentation
M.S. in Mechanical Engineering · New York University (2013 – 2015)
B.E. in Mechanical Engineering · NIT Trichy (2007 – 2011)
- Designed and delivered MONAI tutorials on image classification tailored for medical professionals for easy adoption in healthcare image analysis.
- Part of the course offered by Aster Health Academy's Artificial Intelligence in Healthcare: Theory to Practice.
- Implemented deep learning models for explainability of AI in classification tasks.
- Implemented deep learning models for accurate biopsy needle segmentation in ultrasound images with a focus on model explainability.
- Developed deep learning models for accurate brain tumor segmentation in medical images; achieved Dice score ≥ 0.8 on the BraTS 2017 dataset.
Full list on Google Scholar · Citation counts as of May 2026
- 2025 · Inference time correction based on confidence and uncertainty for improved deep-learning model performance and explainability in medical image classification — Computerized Medical Imaging and Graphics, 102630 ·
1 citation - 2025 · Unsupervised Machine Learning for Automated Corrosion Staging Using Optical Microscopy Images — NPJ Materials and Degradation ·
4 citations - 2025 · Unmasking the Hidden Threat: Conductive Under-Deposits and Their Role in Preferential Weldment Corrosion of Carbon Steel under Sour Conditions — Langmuir 41(35), 23632–23651 ·
3 citations - 2025 · Integrated Electrochemical and Machine Learning Framework for SiO₂/CaCO₃ Under-deposits Driven Welded X65 Carbon Steel Corrosion Mitigation in Sour Service Conditions — Petroleum Research ·
1 citation - 2025 · Interfacial robustness of commercial amine-based inhibitors mitigates under-deposit corrosion of carbon steel in simulated sour conditions — Emergent Materials ·
0 citations - 2020 · Usability study of wearable inertial sensors for exergames (WISE) for movements assessment and exercise — mHealth 6, 1–15 ·
26 citations - 2019 · Wearable inertial sensors for range of motion assessment — IEEE Sensors Journal 20(7), 3777–3787 ·
49 citations - 2019 · Remotely Supervised Transcranial Direct Current Stimulation (RS-tDCS) Paired with a Hand Exercise Program to Improve Manual Dexterity in Progressive Multiple Sclerosis — Archives of Physical Medicine and Rehabilitation 100(10), e34 ·
7 citations
- 2025 · LEVERAGING UNCERTAINTY AND CONFIDENCE FOR ICH DIAGNOSIS — J Jeffrey, A Rajkumar, PK Yalavarthy
- 2025 · Electrochemical and Machine Learning Analysis Unveils Protective Mechanisms of Commercial Amine-Based Inhibitors for Under-Deposit Corrosion — ECS Meeting Abstracts 248, 1105 ·
2 citations - 2020 · An augmented reality spatial referencing system for mobile robots — IEEE/RSJ IROS, 7545–7552 ·
15 citations - 2020 · Wearable Inertial Sensors for Exergames and Rehabilitation — IEEE EMBC, 3505–3508 ·
12 citations - 2020 · A wearable pendant sensor to monitor compliance with range of motion lymphatic health exercise — IEEE SMC, 1957–1964 ·
8 citations - 2020 · Upper extremity telerehabilitation for progressive multiple sclerosis — Neurology 94(15_supplement), 1667 ·
3 citations - 2020 · Electrical Inhibitor for Tocolysis — Frontiers in Biomedical Devices 83549, V001T10A013 ·
0 citations - 2019 · Wearable Smart Glasses for Assessment of Eye-Contact Behavior in Children With Autism — Design of Medical Devices Conference 2019, V001T04A003 ·
13 citations - 2019 · Grasp Rehabilitator: A Mechatronic Approach — IEEE ICORR, 762–767 ·
8 citations
- 2024 · Wearable inertial sensor system and methods — US Patent App. 18/257,609
- 2024 · Electrical inhibition (EI) uterine pacemaker — US Patent App. 18/497,497
- 2019 · Method and system for securing firearms — US Patent 10,488,131 ·
11 citations
- 2020 · Technology Translation of Medical Devices for Rehabilitation and Therapeutics — New York University Tandon School of Engineering ·
1 citation
Deep Learning AI Healthcare IT RAG FastAPI ChromaDB SDLC Software Project Management Python PyTorch MONAI Medical Image Analysis
