Pingala Bhaskaracharaya

Software Development Engineer with 3+ years of experience building and scaling backend platforms in healthcare and data-intensive domains. Specialized in designing event-driven microservices, high-throughput APIs, and secure data integration systems.

Software Development Engineer II at Jio Health Technology (2023-04 – Present)

• Contributed to the architecture, scaling and building of K-LIMS, a core Laboratory Information Management System, using Node.js, Express, and MongoDB, secured with JWT and RBAC for test cataloging, sample tracking, and financial workflows.
• Designed a stateless, event-driven microservice architecture (Node.js, Kafka, MongoDB) to manage the complete external lab sample lifecycle, enabling adoption by 57 diagnostic labs and 1,120 pathologists nationwide.
• Led and built ABDM (M1–M3) integrations for Karkinos Healthcare HIP/HIU workflows, enabling patient registration and care-context exchange and linking 30K+ health records, contributing to national level recognition.
• Implemented end-to-end ABDM PHR (P1–P4) integration, processing 1M+ requests/day, leveraging Kafka, MongoDB, and PostgreSQL with idempotency, retries, encryption, consent enforcement, and audit logging.
• Architected and developed the Distributed Cancer Care Network (DCCN), integrating 37 hospitals by building robust ETL pipelines using Mirth Connect, Apache NiFi, and Node.js to unify heterogeneous HIS systems.
• Scaled DCCN to support 56K+ patient integrations, 94K diagnostic orders, 14K financial reports, and 139K DICOM images using a hybrid PostgreSQL–MongoDB backend.
• Built backend systems for real-time healthcare collaboration platforms, including a Virtual Tumor Board and a secure clinical chat system supporting threaded messaging, unread tracking, notifications, and DICOM sharing.
• Re-architected backend processing by introducing load-aware execution and frequency-based workload routing, cutting server uptime and batch runtime from 24 hours to 7 hours, improving utilization by 73%, and significantly reducing infrastructure costs.
• Developed analytics and monitoring dashboards using Metabase and Grafana to track traffic, error rates, and patient demographics, enabling data-driven operational decisions.

Data Engineer Intern at Karkinos HealthCare (2022-10 – 2023-04)

• Designed automated patient and physician notification workflows leveraging NiFi and Python FastAPI, integrating WhatsApp Business API to deliver timely alerts across appointment scheduling, test results, and care coordination scenarios.
• Conducted Proof of Concept (POC) to evaluate and validate the feasibility and effectiveness of Google Dialog Flow for specific applications.

M.Sc. in Mathematics – Sri Venkateswara College, University of Delhi

B.Sc. in Mathematics (Hons) – Sri Sathya Sai Institute of Higher Learning