I am a Senior Software Engineer with more than 7 years of experience building and operating cloud-native SaaS applications, backend microservices, and infrastructure automation across healthcare and fintech environments.
I have worked extensively with Kubernetes, Docker, Terraform, AWS, GCP, Python, Bash, Node.js, and TypeScript to deliver secure, scalable, and reliable production systems.
My background includes ownership of CI/CD pipelines, observability, incident response, SLOs, and on-call operations, with a strong focus on reducing manual work and improving deployment confidence.
I have also contributed to data workflows, API integrations, event-driven services, and machine learning platform support, including LLM-assisted and AI/ML-related production workflows.
A major part of my work has involved security and compliance, including SOC 2, ISO 27001, GDPR, HIPAA, RBAC, IAM, encryption, audit logging, and vulnerability-aware operational practices.
I am comfortable collaborating with platform, security, engineering, and support teams to improve reliability, performance, and maintainability in regulated and high-availability environments.
I am seeking opportunities where I can apply my infrastructure, backend, and reliability engineering experience to build robust systems and support modern cloud platforms.
Owned production reliability for cloud-hosted healthcare microservices using Docker, AWS, Kubernetes-aligned deployment patterns, and CI/CD controls. Built automation for deployment verification, environment checks, API integrations, and recurring operations tasks. Improved site reliability with OpenTelemetry logging, metrics, tracing, alerting, and SLO dashboards. Partnered on Terraform Infrastructure as Code patterns, IAM reviews, RBAC, encryption controls, and SOC 2 and HIPAA evidence. Scaled event-driven services across Kafka, Redis, MongoDB, and AWS queues. Supported AI/ML platform workflows by containerizing Python services and integrating LLM-powered APIs.
Led backend and infrastructure delivery for clinical web platforms using Python, Docker, Redis, Kubernetes-aligned release workflows, and GitHub Actions CI/CD. Designed reliable API services, data workflows, and task queues for clinical operations. Implemented monitoring, alerting, OpenTelemetry tracing, and incident response runbooks. Strengthened security best practices through RBAC, audit logging, encrypted data paths, HIPAA-aligned controls, and access reviews. Built AI/ML and LLM-assisted workflow services with Python APIs and structured extraction pipelines.
Developed healthcare SaaS applications using Node.js, C#, React, Angular, SQL Server, and Docker-compatible deployment workflows. Created and maintained GitLab CI/CD, Octopus release automation, Bash, PowerShell, and SQL validation scripts. Integrated third-party healthcare APIs, file ingestion flows, and database services. Documented infrastructure runbooks, troubleshooting guides, release procedures, SLAs, escalation paths, and monitoring expectations. Optimized service performance across SQL Server, REST APIs, frontend assets, and background workers.
Built financial SaaS application features using C#, JavaScript, SQL, REST APIs, and secure integration patterns. Developed SQL diagnostics, deployment checks, and operational scripts. Maintained database schemas, file handling processes, and third-party integrations with attention to encryption, access controls, auditability, and reliability. Collaborated with engineering, support, and client stakeholders to translate infrastructure and application issues into maintainable fixes and documentation.
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