Atharva Kale

About Atharva Kale

Atharva is a Software Engineer with experience in full-stack development, cloud infrastructure, and AI-driven solutions. Previously a Co-Op Intern at Long Health, he has worked on developing a HIPAA-compliant dementia assessment platform using Angular.js, Node.js, and AWS, as well as crafted scalable cloud solutions for secure medical data management. With a strong foundation in both backend and frontend technologies, Atharva has also contributed to AI-powered medical systems that reduce physician review time and streamline document processing. He is well-versed in a range of tools and technologies, including Python, JavaScript, Node.js, React.js, PostgreSQL, and AWS.A curious learner who values consistency and long term solutions, Atharva thrives in dynamic environments, always eager to leverage technical skills to build impactful solutions and improve efficiency.

Experience

1. Software Engineer

   Long Health

   Sep 2025 — Present · San Jose, CA, US

   Led development of a cross-platform Flutter mobile application (iOS & Android), integrating native code for audio recording, biometric authentication, file management, and call interruption handling to ensure uninterrupted clinical recording workflows.• Migrated and integrated the AI Scribe service into a new product, building frontend features and backend APIs to support real-time clinical documentation and structured summaries.• Owned the Care Team management experience, building a highly interactive, state-driven frontend with rich user interactions and animations, and integrating it end-to-end with backend APIs in close collaboration with product and design teams.• Designed asynchronous, message-driven pipelines (SQS/RabbitMQ) for clinical recording ingestion, document upload, and LLM-based summarization, enabling batch processing, reducing redundant LLM calls, and improving system throughput.• Improved patient and clinical data search performance by 20% by optimizing database queries, implementing caching, and restoring search state for improved user experience.• Designed and implemented robust audio recording reliability features, including context-aware wakelocks, structured logging, OS interruption handling, and optimized audio formats to balance transcription quality and storage efficiency.• Strengthened multi-tenant security boundaries by linking auth tokens to organizations, preventing cross-organization data access.

Education

• Vishwakarma Institute of Information Technology

  Bachelor's degree, Computer Science

  2019 — 2023

• North Carolina State University

  Master of Science - MS, Computer Science