• Design, develop, and deploy production AI/ML systems supporting healthcare document classification, intelligent routing, structured information extraction, and operational workflow automation.
• Build LLM-powered document intelligence pipelines combining OCR, structured prompting, schema validation, prompt optimization, and automated evaluation to transform unstructured documents into reliable, machine-readable data.
• Develop, fine-tune, evaluate, and optimize Transformer-based NLP models for accurate document classification, intelligent routing, and automated processing.
• Engineer multi-stage AI orchestration workflows integrating language models, conditional processing, enterprise APIs, and complementary ML components to automate complex business processes.
• Build end-to-end MLOps pipelines spanning data preparation, model training, experiment tracking, evaluation, versioning, deployment, and production lifecycle management.
• Architect and develop scalable AI inference services and cloud-native infrastructure using containerized, serverless, asynchronous, and event-driven architectures for distributed AI workloads.
• Improve model accuracy, robustness, and inference efficiency through class-imbalance mitigation, error analysis, automated benchmarking, and performance optimization.
• Collaborate with engineering, product, and operational stakeholders to translate complex healthcare requirements into secure, scalable, and maintainable AI-powered enterprise solutions.

• Build and maintain robust backend services using Drupal CMS, Twig, and JavaScript, enabling seamless content management and API integrations across the HorizonBlue, Braven Health, and Horizon NJ Health portals.
• Manage Drupal Backoffice functionalities, optimizing workflows and backend processes for greater operational efficiency, while tracking tasks in Jira and maintaining clear documentation in Confluence.
• Ensure accessibility compliance by integrating WCAG-compliant features and code, promoting inclusive user experiences.
• Develop interactive UI components using JavaScript, TypeScript, and jQuery, significantly enhancing responsiveness and front-end user engagement.
• Integrate Adobe Analytics tracking through JavaScript/TypeScript to capture user interactions and provide data-driven insights for optimization.
• Oversee development and deployments across environments—including Development, System Integration Testing (SIT) and User Acceptance Testing (UAT) environments—utilizing tools such as IBM ClearQuest, Jenkins, and Red Hat OpenShift.
• Monitor system logs and proactively address issues using Splunk, while designing and consuming APIs based on Swagger/OpenAPI specifications.

Founder and Full Stack Engineer at TensifyTech, building Adventure Explorer, a next-generation mobile app for outdoor exploration with real-time trail conditions, offline navigation, and community insights.

Lead end-to-end development: research, data analysis, UI/UX, Flutter components, backend architecture, and scalable geospatial system design.

Implement advanced geospatial technologies including PostgreSQL/PostGIS, Google S2, and Uber H3 to power a high-performance backend and extensible app architecture.

Led the development of Draco from scratch, an in-house AWS ECS-hosted DICOM web service, using Python and Flask; engineered code architecture, continuous deployment pipelines, and reduced data retrieval times from over a minute to under 5 seconds and played a crucial role in securing a million dollar project budget through improved performance.

Led development of the Pharmacovigilance project to monitor and process patient-reported treatment outcomes; implemented secure APIs and data processing pipelines to support adverse event tracking.

Implemented microservices for various services in PHP (Laravel) and JavaScript/TypeScript (Express.js/GraphQL). Migrated the monolithic legacy architecture to microservices using the Strangler Fig pattern.

Developed backend APIs for a Wave Health mobile app using Laravel. Implemented robust security policies and optimized backend processing to improve system efficiency and reliability, including migrations and unit tests.

Directed the development of a comprehensive Treatment Plan feature, enabling push and in-app notifications for the treatment and medication reminders, significantly enhancing user engagement and app functionality.

Engineered a comprehensive AWS cloud infrastructure, optimizing deployment and scalability through advanced CI/CD and serverless solutions.