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.

Chief AI Officer

Harshal Chalke leads AI innovation and research at Cardio AI, where he architects the foundational models and intelligent systems that power the company's cardiac diagnostic platform.

Since joining Cardio AI, Harshal has been instrumental in developing the company's core AI capabilities. He built a state-of-the-art model for apical-4-chamber echocardiogram analysis that achieved 89% diagnostic confidence and successfully deployed it on GCP Vertex AI for production use. His work spans multiple diagnostic modalities, including ECG signal interpretation and parasternal long axis echocardiogram analysis, creating a comprehensive AI-driven approach to cardiac assessment.

As Chief AI Officer, Harshal oversees the company's AI strategy, research direction, and model development pipeline. His expertise in deep learning, computer vision, and natural language processing enables Cardio AI to push the boundaries of what's possible in cardiac diagnostics. He brings a research-informed approach to building production systems, evidenced by his development of EchoFrame—a lightweight 3D MobileNetV3-UNet that achieved a 91.37% Dice score for left ventricle segmentation with exceptional computational efficiency.

Harshal holds a Master's degree in Artificial Intelligence from Rochester Institute of Technology, where he specialized in medical imaging applications and built advanced AI systems including agentic RAG chatbots using LangChain and LLaMA models. His combination of academic rigor and hands-on engineering experience allows him to bridge cutting-edge research with scalable, real-world solutions that improve cardiac care for patients and clinicians alike.
 
 
 
 
 
 
 

 
 
 
 
 
 
 
 
 

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.

Vice President of Product

Mahitha Vudutha leads product strategy and innovation at Cardio AI, bringing a unique blend of deep technical expertise and product vision to advance the future of AI-powered cardiac care.

With a strong foundation in mobile application engineering and digital health platforms, Mahitha has dedicated her career to building technology that transforms how patients and clinicians interact with cardiac intelligence. Her hands-on experience developing secure, scalable mobile applications for iOS and Android has given her invaluable insights into creating products that seamlessly integrate AI-driven insights with clinical workflows.

As VP of Product, Mahitha drives the strategic roadmap for Cardio AI's platform, focusing on translating complex cardiac data and AI capabilities into intuitive, accessible solutions that empower both patients and healthcare providers. She champions product development that prioritizes early detection, continuous monitoring, and personalized care experiences—all designed to improve patient outcomes and engagement within digital healthcare ecosystems.

Her approach combines technical rigor with a deep understanding of user needs, ensuring that Cardio AI's products deliver real-time monitoring capabilities and actionable insights while maintaining the highest standards for security, scalability, and clinical utility. Mahitha is passionate about democratizing access to advanced cardiac care through thoughtfully designed technology that makes a meaningful difference in people's lives.
 
 
 
 
 
 
 

 
 
 
 
 
  

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.

Vice President of Engineering

Avi Patel leads engineering at Cardio AI, where he combines technical expertise with strategic vision to build the infrastructure powering next-generation cardiac care solutions.

Since joining Cardio AI in its formative stages, Avi has been instrumental in architecting and scaling the company's technology platform. He led the design and prototyping of the initial user interface, creating clinical workflows optimized for accessibility and real-world healthcare environments. His work integrating Python-based AI agents with scalable frontend systems has enabled seamless real-time diagnostic capabilities that serve both clinicians and patients.

As VP of Engineering, Avi oversees the full engineering organization, driving technical strategy, architecture decisions, and team development. His leadership ensures that Cardio AI's platform maintains the highest standards for security, scalability, and reliability while moving rapidly to deliver innovative features. He has embedded HIPAA-compliant practices throughout the development lifecycle and established robust cloud infrastructure on GCP that supports the company's growth trajectory.

With a strong foundation in React, Next.js, and modern web technologies, combined with experience in Agile methodologies and cross-functional collaboration, Avi excels at aligning engineering execution with clinical requirements and business objectives. His hands-on approach and commitment to engineering excellence have been crucial in transforming Cardio AI's vision into a production-ready platform that's making a tangible impact in digital healthcare.
 
 
 
 
 
 
 

 
 
 
 
 
 
  

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.