Ganesh Kavi Email & Phone Number

Bengaluru, Ka, In

Bengaluru, Karnataka, India

🔹 Cross-Functional Team Leadership: Oversee and coordinate the Android development, Quality Assurance (QA), Frontend development, UI/UX design, and AI/ML teams to ensure cohesive product development and delivery.🔹 Product Strategy and Vision: Define and implement product strategies that align with business goals and address user needs. Develop and execute comprehensive roadmaps for innovative healthcare solutions.🔹 Android Development Oversight: Oversee the Android team in developing high-quality, scalable mobile applications that enhance patient and provider experiences.🔹 Quality Assurance Management: Manage QA processes to ensure our products meet rigorous standards for functionality, performance, and reliability before release.🔹 Frontend Development Coordination: Guide frontend developers to create responsive, user-friendly web interfaces that support an optimal user experience across devices.🔹 UI/UX Design Supervision: Supervise UI/UX design efforts to deliver intuitive, user-centric designs that improve usability and accessibility for both healthcare professionals and patients.🔹 AI/ML Integration: Collaborate with the AI/ML team to integrate advanced machine learning models into our products, enhancing features such as predictive analytics, natural language processing, and image processing.🔹 Stakeholder Engagement: Communicate regularly with the company CEO, sales team, and Product Health (PH) team to gather feedback, understand new requirements, and align product developments with strategic goals.🔹 Innovation and Continuous Improvement: Drive product innovation by exploring and adopting new technologies and methodologies, fostering a culture of continuous improvement within the development teams.🔹 Project Management: Oversee project timelines, manage resources, and ensure budget adherence to deliver projects on schedule and within scope.

Bengaluru, Karnataka, India

🔹 Define AI/ML strategies for maternal and neonatal healthcare products, ensuring alignment with business goals.🔹 Oversee the development of predictive models, deep learning algorithms, and NLP applications to support healthcare diagnostics, patient care, and operational efficiency.🔹 Lead the design, testing, and deployment of AI models, focusing on improving clinical decision-making and patient outcomes.🔹 Use machine learning frameworks (TensorFlow, PyTorch) to build models, including image processing algorithms for diagnostics.🔹 Optimize models for performance, accuracy, and scalability through continuous evaluation.🔹 Implement MLOps pipelines for efficient model deployment, monitoring, and integration with AWS cloud infrastructure.🔹 Collaborate with product managers, engineers, and medical teams to translate clinical needs into data-driven AI/ML solutions.🔹 Ensure effective integration of AI models into both the app and dashboard for real-time decision support.🔹 Engage with doctors, nurses, and other healthcare professionals to identify key challenges in maternal and neonatal care, ensuring AI models meet clinical needs.🔹 Provide data-driven insights and recommendations to improve maternal and neonatal healthcare delivery.🔹 Oversee data collection and preprocessing, ensuring data quality from sources like clinical records and patient monitoring devices.🔹 Manage large healthcare datasets using SQL and NoSQL databases, supporting comprehensive analysis and model training.🔹 Mentor and guide the data science team, fostering innovation and excellence in AI/ML projects.🔹 Lead training sessions on new AI technologies such as Generative AI, deep learning, and cloud computing.🔹 Explore and implement advanced AI techniques (Generative AI, deep learning) to innovate maternal and neonatal healthcare solutions.🔹 Focus on building user-friendly, patient-centric solutions that enhance both outcomes and healthcare provider workflows

Bengaluru, Karnataka, India

I am working on pre-processing the Signals to get Fetal Heart Rate, Maternal Heart Rate, Uterine Contractions from ECG and EMG based device. Building Deep learning models for cancelling the Noise in the signals.Building Automated Interpretations for Analyzing Feat Heart Rate and Uterine Contractions from Doppler Toco and ECG,EMG device.Working on Ditizing the Graphs

Bengaluru, Karnataka, India

I have worked on Instance segmentation and Object detection models where the main objective was tomaintain models' accuracy above 95% and keep the loss as low as possible i.e., below 0.05.I have used pre-trained model like Resnet, FastRCNN, MRCNN and etc., using Python with necessarylibraries like Numpy, Tensorflow, Keras and etc.

Bengaluru, Karnataka, India

I have worked on Custom Object Detection models, where I have worked on optimizing Tensorflow modelso that it can be installed in edge devices which are cost efficient.I have built many custom Object Detection Model according to client's requirements with at least 95%accuracy.