• Implemented a backend service that allows users to upload mobile application binaries for testing, including S3 storage integration and metadata persistence (user, organization, timestamps, and asset details) in DynamoDB.

• Designed and implemented a scalable, decoupled Report Generation Service using a Fan-Out architecture: fetched test results from DynamoDB, formatted QA reports, and published events via AWS SNS to AWS SQS queues for async processing.

• Developed an independent Notification Service for asynchronous report delivery: AWS Lambda workers consumed AWS SQS messages to send notifications via AWS SES (email) and Slack API, ensuring high availability and failure isolation.

• Built a retrieval service that returns all uploaded application assets and associated metadata for a given organization, enabling smooth selection and reuse in automated testing workflows.

• Built an LLM-agnostic agent layer enabling seamless dynamic switching between OpenAI, Groq and Gemini through environment variables, ensuring zero downtime and uninterrupted operations.

• Implemented end-to-end healthcare automation workflows, processing scanned documents and faxes with Tennr’s RaeLM to extract structured data and populate client EHR systems, improving accuracy and reducing manual effort.

• Engineered workflow optimizations that reduced approval and processing delays by 20% by improving triage rules, error-handling branches, and follow-up logic for missing or incomplete documents, accelerating reimbursement cycles.

• Designed workflow logic for document classification, data extraction, patient qualification, and insurance verification, ensuring accurate routing and reliable population of client EHR and billing systems.

• Monitored live automation pipelines across multiple healthcare clients and resolved workflow-level issues, configuration bugs, and edge-case failures, maintaining 99.5% uptime for all assigned accounts.

• Collaborated with operations and engineering teams to validate outputs, refine extraction rules, and improve system reliability, ensuring consistent performance for clinics, DMEs, and specialty practices.

• Delivered client-specific implementations for Neb Medicals, Aveanna, Gammie, Lymphacare, and other healthcare providers, tailoring automation logic to their documentation formats, reimbursement workflows, and operational needs.

• Engineered scalable backend services for a real-time situational awareness platform supporting defense operations, ingesting incoming operational data and delivering processed insights to monitoring dashboards and command interfaces.

• Designed and implemented RESTful APIs using FastAPI to ingest and serve structured operational data, leveraging PostgreSQL for persistent storage with query optimization and strategic indexing to ensure low-latency responses.

• Implemented asynchronous task processing using Celery with Redis as a message broker to handle concurrent data workloads.

• Collaborated with cross-functional teams, senior engineers, and stakeholders to refine backend logic, troubleshoot issues, and improve system reliability and scalability.