Professional Experience

AI Engineer / Backend Engineer for a medical intelligence platform, developing AI models with leading LLMs, building RAG systems, and creating data pipelines for healthcare workflows.

• ▸Led backend architecture of an AI-driven medical platform using LangChain for multi-model orchestration across Claude, GPT-5, and Gemini, reducing average AI response latency by 35% through intelligent model routing and caching.
• ▸Designed and implemented a RAG-based conversational memory system with vector search (Pinecone), enabling persistent clinical chat context and reducing AI hallucination rate and improving diagnostic response accuracy.
• ▸Engineered a scalable Data Access Layer (DAL) with Prisma 7 and PostgreSQL, optimizing complex queries through advanced indexing and caching strategies, sustaining p99 < 500ms and p95 < 200ms under concurrent clinical workloads.
• ▸Implemented end-to-end encryption and HIPAA-compliant security protocols across all patient data flows, achieving no critical findings in our internal audits.
• ▸Integrated 3+ healthcare interoperability APIs (FHIR R4, SaludTools) enabling seamless data exchange across provider systems and reducing integration overhead by 50%.
• ▸Architected and deployed a multi-tenant authentication system using Clerk, reducing onboarding friction for new healthcare organizations by 70%.
• ▸Implemented API Gateway using AWS API Gateway and Lambda functions, reducing API response latency by 80% and reducing application bundle size.

Contributed to a global audit platform serving 475,000+ users across 130 countries, developing integrations in the imports/bindings module, backend microservices, and modern frontend architectures while leading technical migrations and agile ceremonies.

• ▸Engineered integrations within the imports/bindings module of the Caseware platform, a mission-critical data ingestion layer used by 475,000+ professionals across 130 countries, ensuring reliable, schema-compliant data mapping at enterprise scale.
• ▸Developed critical backend microservices in Java Spring Boot and Node.js and deployed serverless infrastructure on AWS through CDK, optimizing operational costs. Launched CDK projects from development to production environment.
• ▸Led massive data migrations (500k+ records) ensuring transactional atomicity and reliability. Improved data access patterns latency time by 40%
• ▸Implemented reactive components in Angular, reducing application load time by 30% through lazy loading and bundle optimization techniques.
• ▸Configured orchestrated deployments in Kubernetes
• ▸Responded to on-call production incidents with rapid triage and resolution for clients.
• ▸Led Scrum ceremonies for a 7-developer team, ensuring continuous value delivery for the imports team.
• ▸Worked with AWS services such as S3, DynamoDB, EC2, EKS, RDS.