CARDIO AI TEAM

Founder & CEO: AI Scientist-Engineer

 Expert in Multi-Agent Systems.

Innovative AI/ML engineer and healthcare technology leader specializing in multi-agent systems for cardiovascular diagnostics. Proven track record of developing enterprise-scale AI solutions that deliver measurable clinical and operational outcomes. Expert in transformer models, IoMT integration, and HIPAA-compliant healthcare platforms.

"Dynamic executive with over 15 years of experience in driving innovation and operational efficiency in technology and product development. Proven track record of securing funding, enhancing productivity, and fostering strategic partnerships that align with market needs. Adept at building high-performing teams and cultivating an innovative-centric culture, leading to measurable growth and competitive advantage. Passionate about leveraging technology to deliver impactful solutions and drive sustainable success.“

Senior Software Engineer

Dharmil Shah is an accomplished Senior Software Engineer at Cardio AI, with a robust background in software development engineering. Proficient in various software development methodologies, Dharmil brings a wealth of expertise to the team, driving innovation and efficiency in developing cutting-edge solutions for cardiovascular healthcare at Cardio AI.

Data Scientist & AI Developer

Background in Computer Science and Data Science

Advanced Data Analytics & ML Techniques

Leverage data to drive informed business decisions

Proficient in AI technologies & data analytics libraries

Hold Masters in Computer Science 

from St Peters University

 Data Scientist

Multidisciplinary Chief Data Scientist & AI Developer with a strong background in computational physics, AI & machine learning, and biomedical informatics

With over 8 years of experience in integrating advance AI & ML techniques, multi-omics analysis,  to address complex challenges in healthcare. 

He has successfully led projects integrating AI and multi-omics data to uncover disease mechanisms and optimize therapies at UCLA and Truveta. 

As the founder of Mindverse Computing, he explores quantum computing and AI applications in personalized AI and cognitive modeling, advancing healthcare innovation.

Senior Research Scientist

Syed Khairul Bashar is a prominent biomedical researcher specializing in cardiovascular health, signal processing, and machine learning. He earned his Ph.D. in Biomedical Engineering from the University of Connecticut, along with an MS in Electrical Engineering. His innovative research centers on the AI-based detection and prediction of atrial fibrillation through wearable technology. Dr. Bashar's postdoctoral studies at Johns Hopkins and Georgia Tech have further developed machine learning methodologies for cardiac ablation and health monitoring via wearable devices.

Co-Founder & Chief Medical Advisor

  Dr. Nahar is a distinguished physician with over 25 years of experience in practice.
 She is a Board-CertifiedNuclear Cardiologist. In the past, she held positions such as Chief Cardiologist and Associate
Chair of Medicine at Harlem Hospital in NY, USA. Dr. Nahar has also served as an Assistant Professor of Medicine at various institutions, including Mount Sinai Hospital in NY. She obtained
 Her postdoctoral training includes Cardiology fellowships at Yale University and Cornell University Medical Center. Dr. Nahar is a prolific author with numerous publications in the fields of cardiology and echocardiography.

Co-Founder & Chief Financial Officer 

Visionary financial strategist with a strong background in accounting, FP&A, and AI-driven forecasting. Architected the financial strategy that fuels Cardio AI’s growth—aligning capital decisions with mission-driven priorities and sustainable scaling.

Expert in financial modeling, fundraising, and systems integration, I’ve implemented ERP and predictive analytics solutions that optimize cash flow, accelerate reporting, and enhance investor confidence.

I lead capital-raising and investor relations efforts, forging partnerships that support Cardio AI’s expansion in the healthcare and AI sectors. My focus ensures operational precision, fiscal discipline, and long-term value creation as we pioneer AI-powered cardiovascular diagnostics.

Chief Technology Officer (CTO)

Experienced in building secure, scalable systems in healthcare, biotech, media, and communications. Specializing in Python, Flask, Django, and AWS, Galax has led backend teams, designed telehealth platforms, and integrated complex EHR systems using FHIR and HL7.

Proficient in performance optimization, cloud architecture, and real-time data processing — including wearable device data and medical diagnostics.

Senior Backend Developer.

Experienced in backend development & training a machine learning model, I also build scalable APIs, deploy models using Vertex AI, and manage data preprocessing pipelines.

Proficient in Python, TensorFlow, FastAPI, Docker, Google Cloud Platform, and Git.

Senior AI Engineer and Developer.

Experienced in developing cutting-edge AI models for echocardiogram 3D video analysis and engineering them into agentic AI solutions for instant and accurate diagnosis.

Proficient in AI Engineering.

Senior Data Scientist

Experienced in designs and deploys advanced machine learning solutions, Python, data structures, and cloud infrastructure

Proficient in building scalable AI models using Google Vertex AI, integrating them via secure APIs and ensuring reliable model performance through monitoring and MLOps tools.

Software Developer - Mobile Applications

Software Developer with a strong background in mobile application engineering, digital health platforms, and AI-integrated systems, specializing in iOS and Android development for healthcare solutions.With hands-on experience building secure, scalable mobile applications, she focuses on delivering intuitive patient and clinician experiences that integrate AI-driven insights, real-time monitoring, and personalized cardiac care workflows.
She actively contributes to mobile solutions that translate complex cardiac intelligence into accessible, user-friendly applications, supporting early detection, continuous monitoring, and improved patient engagement within digital healthcare ecosystems.

Data Scientist & AI Engineer-Intern

Background is in Computer Science where I obtained my bachelors from Wilfrid Laurier University. Proficient in Machine Learning and Deep Learning. Passionate about leveraging data to solve complex problems and build innovative solutions.

Senior Software Engineer.

Experience in React, Next.js, HTML, CSS, and Tailwind CSS to design and develop a clean, intuitive site tailored for clinical use.

Proficient HTML/CSS and Flask to connect Python based logic to the front end, focusing on functionality, usability, and clarity.

Data Science & AI Engineer Intern
Experienced in backend software development and applied data science, I have built and maintained enterprise backend services, developed predictive machine learning models, and worked on data-driven research projects. My work spans Java-based microservices, cloud-native systems, and ML-driven analytics in both industry and academic settings. She enjoys working at the intersection of data, systems, and real-world impact, and is particularly interested in applying AI and analytics to complex, high-stakes domains.

Software Engneer-Intern

I’m a Software Engineer Intern at CardioAI, working on both frontend and backend development for a healthcare platform. I build and update FastAPI APIs on the backend and also work on the frontend to improve patient intake forms and data flow. My focus is on making sure the frontend and backend work smoothly together and that patient data is handled correctly. Through this experience, I’m learning how real healthcare applications are built and used in practice.

AI Developer Intern.

Experienced in spans system design, model development, and deployment, leveraging tools like TensorFlow, PyTorch, and Google Cloud Platform.

Proficient in data preprocessing, model training, and integrating AI components into scalable, multi-agent systems.

Data Scientist & AI Engineer

Data Scientist and AI Engineer at Cardo AI, specializing in building data-driven and AI-powered solutions. He works on data analysis, machine learning models, and scalable AI pipelines to turn complex data into actionable insights and intelligent products.