Sanjay Naik

Engineered an AI-Driven Development Framework using custom orchestration rules, reducing development time by 60% through automated Architectural Compliance and dependency management.

Architected a Clinical AI Summarization Engine to synthesize longitudinal EHR data and patient journeys, significantly enhancing diagnostic efficiency for medical practitioners.

Implemented a Healthcare Data Extraction Platform using the Factory Design Pattern to map unstructured reports to FHIR and OpenEHR standards for clinical interoperability.

Developed an intelligent AI Rate Limiter to optimize LLM API consumption, resulting in a 40% reduction in cloud operational costs while maintaining High Availability.

Automated the generation of chained API Test Collections for Regression Suit from Swagger/OpenAPI documentation, reducing manual QA preparation effort by 50%.

Modernized a legacy Omnichannel Communication System to support Multi-tenant sender profiles, enabling seamless concurrent patient engagement across teams.

Established an automated Technical Documentation Framework integrated with the live codebase to ensure 100% architectural visibility and system Scalability.

Led Technical Governance and mentorship through code reviews and Knowledge Transfer (KT) sessions, improving team sprint velocity by 40%.

Engineered a scalable architecture by conducting POCs for Kong API Gateway (v3.x+) and integrated the Konga Dashboard with a decoupled PostgreSQL data layer for performance.

Engineered a high-throughput Medical Reporting Engine using Java Multithreading and the iText PDF library, supporting 21+ oncology encounter types for 80+ partner hospitals.

Implemented a fault-tolerant Change Data Capture (CDC) microservice using Debezium and Kafka, achieving sub-3-second sync latency between MongoDB and PostgreSQL.

Reduced high-load query execution time by 80% (2.5s to under 500ms) by optimizing Hibernate model joins and implementing custom result models to eliminate unnecessary fetch cycles.

Designed and delivered an end-to-end ePRO (Electronic Patient Reported Outcomes) microservice, including HLD/LLD and real-time synchronization across 5 distributed services.

Mitigated 200+ security vulnerabilities using SonarQube, improving code quality scores by 40% and ensuring strict HIPAA and security compliance.

Built a real-time Communication Log Dashboard to monitor messaging webhooks, reducing debugging time by 70% through Automated Failure Analysis and alerting.

Developed clinical risk scoring algorithms within the Patient Data Microservice, integrating configurable validation rules for Oncology Treatment Decision Support.

Automated database schema evolution using LiquiBase across 20 microservices, enabling Zero-Downtime Deployments and eliminating manual configuration errors.

Developed stateless REST APIs using Java Spring Boot, contributing to core feature releases with 100% on-time delivery across multiple development environments.

Collaborated across the full SDLC, driving requirement analysis, Unit Testing, and the preparation of comprehensive technical release notes for Production Deployments.

Built internal web applications using the Flask Framework to streamline operational workflows, demonstrating versatility in Full-Stack Development alongside primary backend responsibilities.