I am a Senior Software Engineer with more than 7 years of experience building healthcare and fintech platforms, AI-enabled backend services, data pipelines, and production integrations. My work has focused on creating scalable, reliable systems using Python, Java, TypeScript, SQL, AWS, Azure, GCP, Docker, Kubernetes, Kafka, Redis, and CI/CD practices.
I have extensive experience developing backend services and ML-adjacent workflows that support data preparation, prompt validation, model evaluation, structured extraction, and automation. I have worked in regulated environments where security, observability, documentation, and testability are essential to delivering production-ready systems.
In my recent roles, I owned AI-enabled backend services and pipeline services that processed large volumes of operational and clinical data. I collaborated closely with engineers, product managers, data scientists, clinicians, and business stakeholders to turn complex data into dependable applications, validated outputs, and measurable operational improvements.
My background includes building clinical software, integration services, and queue-backed processing systems, as well as improving performance through SQL tuning, caching, service boundary design, and API optimization. I have also contributed to MLOps lifecycle support, observability improvements, and secure deployment controls for healthcare systems.
Earlier in my career, I developed healthcare and financial software features, maintained data validation and reconciliation workflows, and supported production operations through debugging, root-cause analysis, and release coordination. I am comfortable working across the full software delivery lifecycle, from design and implementation to testing, documentation, and deployment.
I hold a Bachelor’s Degree in Computer Science from Stevens Institute of Technology. I am based in Albrightsville, Pennsylvania, and I bring a strong mix of backend engineering, data engineering, cloud infrastructure, and applied AI experience to complex software teams.
Owned AI-enabled backend services and data pipelines for healthcare operations. Implemented MLOps lifecycle support for LLM-assisted workflows, built scalable pipeline services processing operational healthcare data, collaborated on structured extraction and validation rules, developed ML-adjacent applications, improved observability, documented service assumptions and runbooks, and applied Git, CI checks, feature flags, and Agile delivery practices.
Designed clinical software services using Python, React, SQL Server, Redis, REST APIs, and GitHub Actions. Partnered with data scientists, clinicians, engineers, and architects; built data pipelines and queue-backed processing services; developed automation for extraction, summarization, and classification-style routing; improved performance; created technical documentation; strengthened security and compliance; and mentored engineers.
Developed healthcare applications and integration services using Node.js, C#, JavaScript, React, Angular, SQL Server, REST APIs, GitLab CI/CD, and Octopus Deploy. Built data ingestion and validation pipelines, created scheduled processing jobs and reconciliation routines, collaborated with stakeholders, improved backend performance, maintained CI/CD pipelines, documented integration behavior, contributed to analytics and BI workflows, and reviewed production logs and failed imports.
Built financial software features using C#, JavaScript, SQL, HTML, CSS, backend APIs, and relational database design. Implemented integrations with third-party systems, maintained SQL schemas and reporting extracts, refactored legacy modules, participated in Agile development and code reviews, created SQL checks for transaction validation, supported root-cause analysis, and converted reporting requests into technical tasks and release notes.
Bachelor's Degree in Computer Science
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