Headline

Clinician-turned-Engineer | Gen AI and Healthcare | Data Systems & Compliances || Ex- CMC Vellore, NIMAHNS, IITD, CellStrat

About

The first time I saw an AI system fail in a hospital, I was the one running the EEG. It was at Christian Medical College, Vellore. The model looked great on paper. In the ICU it broke on the first patient. Noisy signal, off-label electrode placement, a clinical context nobody had encoded. The engineers who built it had never sat next to a patient. I had. Most healthcare AI engineers I have met learned about hospitals from a PDF. I learned from 40+ months of them. 10,000+ EEGs. 100+ neurosurgeries. 50,000+ patients. A stretch in the COVID-19 ICUs. Then, research at NIMHANS, IIT & IIIT, a diploma in CS and AI, 2 PubMed publications, and the pivot into building the systems I used to run. What I care about is the gap between an AI system that demos well and one that survives contact with a real clinician. That gap has broken more healthcare AI products than any technical limitation I know of, and closing it is the only thing I have ever really been trained for.

Location

Bengaluru

AI stack

claude code

cursor

hugging face

langchain

langfuse

langgraph

Work experience

Senior Software Engineer / Data Science at XCaliber Health, Aug 2025 - Present · 1 yr 1 mo, Hybrid, • Led development of healthcare analytics platforms for Risk Analytics (CMS-HCC RAF), Clinical Quality Measures (eCQM/HEDIS), and longitudinal patient insights. • Built standardized healthcare data models supporting analytics, governance, and AI/ML workloads. • Implemented enterprise data quality frameworks covering conformance, completeness, and plausibility validation. • Developed metadata-driven healthcare analytics workflows and automated quality reporting pipelines. • Contributed to data governance initiatives including metadata management, schema standardization, lineage tracking, and data product registration. • Designed scalable healthcare data platforms using Temporal, Iceberg, Aurora PostgreSQL, and cloud-native services. • Resolved complex production issues across orchestration, data, storage, and application layers.

Senior Neuroscientist at Handran, Mar 2025 - Aug 2025 · 6 mos, Bengaluru, Karnataka, India, I led the research function at a budding neurotech company developing smart wearables. My role involves defining and executing the neuroscience & AI research roadmap from the ground up, aligning scientific inquiry with product development. I work on EEG-based applications such as focus enhancement, meditation, and cursor control, combining rigorous experimentation with real-world usability. I'm committed to establishing high standards in neuro-electrophysiology research and translating them into meaningful product outcomes.

Data Scientist at CellStrat, Jan 2024 - Mar 2025 · 1 yr 3 mos, India, Led Healthcare AI Research & Development at CellStrat, spearheaded the development and integration of Generative AI solutions within the healthcare sector. My focus was on harnessing AI to improve biomedical research, streamline drug discovery, and enhance clinical decision-making. I collaborated with cross-functional teams to create innovative products that address key challenges in healthcare, empowering professionals with advanced AI tools for better patient outcomes. Our primary product line was CellVerse, an integrated multi-dimensional platform for providing ready-to-use AI agents for addressing specific healthcare challenges. As part of this platform, we built a medical research tool, CellBot (www.cellbot.ai), a tool designed to accelerate research in biomedicine space for budding medical students and researchers.

Analyst - AILabs at Infosys Consulting, Nov 2023 - Dec 2023 · 2 mos, Bengaluru, Karnataka, India

Research Fellow at National Institute of Mental Health and Neuro Sciences, Aug 2023 - Nov 2023 · 4 mos, Bengaluru, Karnataka, India, This is a DST-SATYAM-funded project which will explore the phenomenological and neurophysiological aspects of dreaming in long-term practitioners of meditation.

Research Assistant at Indraprastha Institute of Information Technology, Delhi, May 2022 - Aug 2023 · 1 y 3 mo, New Delhi, Spearheaded 3 computational neuroscience research projects across Anxiety, Autism and Depression. Designed experiments in Python, statistical modelling and processing structural brain MRI scans. Published 2 papers across projects. Handled end to end research design and implementation.

Technical Support at Teleperfomance, Jan 2021 - Jul 2021 · 6 mo, Gurugram, Real time technical support for Photography division for Adobe Inc

Technologist at Christian Medical College Vellore, Nov 2018 - Nov 2020 · 2 y, Vellore, Neurodiagnostic lab handling - EEGs, EMG, PSG, Intra-operative Monitoring

Education

Bachelor of Science - BS, Neurobiology and Neurosciences, Christian Medical College Vellore

Postgraduate Degree, Artificial Intelligence, Indraprastha Institute of Information Technology, Delhi