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I’m a healthcare-focused Software Engineer building cloud-native microservices and secure APIs for claims, prior authorization, and provider/member experiences. I also develop AI-powered workflows (LLM/RAG) to reduce manual review and improve fraud detection and clinical document summarization efficiency. I thrive in end-to-end delivery—designing backend and frontend features, optimizing databases and distributed systems, and strengthening CI/CD, testing, and observability on AWS and Kubernetes. My work spans healthcare integration standards (HL7/FHIR, X12, HIPAA) and modern engineering practices to drive measurable performance and reliability.…I’m a healthcare-focused Software Engineer building cloud-native microservices and secure APIs for claims, prior authorization, and provider/member experiences. I also develop AI-powered workflows (LLM/RAG) to reduce manual review and improve fraud detection and clinical document summarization efficiency. I thrive in end-to-end delivery—designing backend and frontend features, optimizing databases and distributed systems, and strengthening CI/CD, testing, and observability on AWS and Kubernetes. My work spans healthcare integration standards (HL7/FHIR, X12, HIPAA) and modern engineering practices to drive measurable performance and reliability.

Omkar Gajendra Sutar

Software Engineer, Back-End Developer, DevOps Developer, +4

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I’m a healthcare-focused Software Engineer building cloud-native microservices and secure APIs for claims, prior authorization, and provider/member experiences. I also develop AI-powered workflows (LLM/RAG) to reduce manual review and improve fraud detection and clinical document summarization efficiency. I thrive in end-to-end delivery—designing backend and frontend features, optimizing databases and distributed systems, and strengthening CI/CD, testing, and observability on AWS and Kubernetes. My work spans healthcare integration standards (HL7/FHIR, X12, HIPAA) and modern engineering practices to drive measurable performance and reliability.…I’m a healthcare-focused Software Engineer building cloud-native microservices and secure APIs for claims, prior authorization, and provider/member experiences. I also develop AI-powered workflows (LLM/RAG) to reduce manual review and improve fraud detection and clinical document summarization efficiency. I thrive in end-to-end delivery—designing backend and frontend features, optimizing databases and distributed systems, and strengthening CI/CD, testing, and observability on AWS and Kubernetes. My work spans healthcare integration standards (HL7/FHIR, X12, HIPAA) and modern engineering practices to drive measurable performance and reliability.

Available to hire

I’m a healthcare-focused Software Engineer building cloud-native microservices and secure APIs for claims, prior authorization, and provider/member experiences. I also develop AI-powered workflows (LLM/RAG) to reduce manual review and improve fraud detection and clinical document summarization efficiency.

I thrive in end-to-end delivery—designing backend and frontend features, optimizing databases and distributed systems, and strengthening CI/CD, testing, and observability on AWS and Kubernetes. My work spans healthcare integration standards (HL7/FHIR, X12, HIPAA) and modern engineering practices to drive measurable performance and reliability.

Skills

Experience Level

Expert

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Intermediate

Language

Javanese

Fluent

Bashkir

Intermediate

Work Experience

Graduate Researcher – RL for SDN Routing at University of the Pacific

August 1, 2025 - December 1, 2025

Developed a real-time reinforcement learning routing framework with three agents (epsilon-greedy, LinUCB, DQN) in Python, achieving +107% throughput and reducing packet loss by ~80% versus static routing. Designed a controller-agnostic REST API integration on an unmodified Ryu OpenFlow SDN controller, deployed on a Raspberry Pi 5 edge gateway to validate adaptive routing on low-power IoT hardware.

Graduate Researcher – AI Cybersecurity Compliance at University of the Pacific

March 1, 2025 - December 1, 2025

Co-developed AI-SECASSQ, an AI-driven platform automating CIS Controls and CCPA compliance self-assessments for SMBs using Python, Flask, Firebase, and Llama API. Built a web-scraping engine feeding a transformer-driven question-generation pipeline and validated outputs across CIS and CCPA.

Software Engineer at Molina Healthcare

February 1, 2025 - May 1, 2026

Engineered Java 21 and Spring Boot microservices for cloud-native claims and prior-authorization platforms, reducing processing turnaround by up to 72%. Built responsive provider/member applications using React.js, Node.js, and secure REST APIs. Developed GenAI-powered clinical document summarization and fraud-analysis workflows using Python, OpenAI, LangChain, and RAG, reducing manual review effort by ~50%. Optimized distributed services using PostgreSQL, Redis, Elasticsearch, and Kubernetes on AWS to support 24M+ annual healthcare transactions. Automated CI/CD pipelines and Infrastructure as Code with GitHub Actions, Docker, Helm, and Terraform, increasing deployment frequency 5x. Improved quality and observability with JUnit 5, Mockito, OpenTelemetry, Prometheus, and Grafana, reducing production incidents by 40%+.

Software Developer at Deloitte

December 1, 2020 - November 1, 2023

Delivered 25+ backend features using Java 11/17, Spring Boot, Hibernate, and REST APIs across patient registration, insurance claims, and laboratory management systems. Developed reusable Angular components, reactive forms, route guards, and REST API integrations using TypeScript and RxJS. Integrated 30+ secure healthcare APIs with ABDM, ABHA, HL7, HIS, LIS, and insurer platforms with >99.5% API success rate. Reduced production defects by 32% via reusable service components, JUnit/Mockito coverage, and structured peer code reviews. Processed 1.5M+ healthcare transactions by optimizing SQL queries, Hibernate mappings, and asynchronous backend services. Automated build/deployment workflows using Jenkins, Docker, Maven, and AWS, reducing release preparation effort by 40%. Resolved 200+ production tickets through root-cause analysis and permanent fixes, reducing recurring incidents. Collaborated with architects, BAs, QA, and stakeholders to deliver 40+ sprint stories on schedule.