Available to hire
I am a software developer with over 4 years of experience building secure, scalable backend platforms, data pipelines, and ML-enabled services across healthcare and payment domains. I specialize in Python and Go for developing APIs, automation frameworks, and data-driven microservices deployed on AWS and Kubernetes.
I have strong knowledge of FHIR, HL7, HIPAA, and PCI DSS standards, along with cloud infrastructure, DevOps automation, and system optimization. I enjoy turning complex requirements into reliable systems and applying ML and real-time analytics to improve healthcare interoperability, payment accuracy, and operational efficiency.
Language
Aragonese
Advanced
Work Experience
Software Developer at Alliance Technology Group
July 1, 2024 - PresentDesigned and developed backend microservices in Python and Go for EHR integration, billing automation, and claims processing using FHIR and HL7. Built RESTful and gRPC APIs for clinical data exchange, improving interoperability between patient management and insurance systems. Developed ML-based claim prediction and anomaly detection models in Python with Pandas, Scikit-learn, and TensorFlow to reduce rejection rates and speed up reimbursement cycles. Automated multi-cloud infrastructure provisioning using Terraform and Ansible, ensuring HIPAA compliance and secure resource configuration across AWS environments. Containerized and deployed applications on AWS EKS with Docker and GitLab CI/CD pipelines, achieving 99.9 percent uptime and faster release cycles. Implemented event-driven workflows with Kafka and Redis Streams to process real-time clinical and billing data for 50,000+ patient encounters. Created FastAPI and React dashboards to provide live visibility into claim statuses, proc
Software Developer at BMC Software
July 1, 2019 - June 30, 2022Developed backend services in Python and Go for online payment authorization, transaction reconciliation, and fraud monitoring for a high-volume payment platform. Integrated APIs from Stripe, PayPal, and ACH processors with PCI DSS-compliant encryption and tokenization to ensure secure financial transactions. Built a fraud detection engine in Python using Scikit-learn and TensorFlow to flag suspicious transactions in real time, reducing fraud rates by 35 percent. Created asynchronous event pipelines with Kafka and RabbitMQ to handle large-scale transaction data with low latency and high reliability. Implemented predictive analytics to forecast chargebacks and refunds, automating retraining pipelines using Airflow and AWS SageMaker. Designed REST APIs in Flask and FastAPI for payment processing, reporting, and refund management modules. Automated infrastructure deployments using Terraform and Boto3 on AWS, reducing provisioning time and improving cost efficiency. Strengthened authentica
Education
Master of Science in Computer and Information Science at Western Illinois University
August 1, 2022 - May 1, 2024Bachelor of Technology in Computer Science at Vignan Institute of Technology
August 1, 2016 - September 1, 2020Qualifications
Industry Experience
Healthcare, Financial Services, Software & Internet, Professional Services
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