Senior Full-Stack Engineer

Architected scalable full-stack and backend services for enterprise talent products using Python, FastAPI, PostgreSQL, Redis, Kafka, AWS, Docker, and Kubernetes. Supported more than 3 million candidate and employee profiles across matching, search, recommendation, and workforce-intelligence workflows.

Designed application architectures across frontend, API, backend, database, and cloud layers, including asynchronous processing, caching, database optimization, authentication, authorization, observability, and automated testing. Built search and recommendation capabilities using NLP, embeddings, vector search, skill extraction, and multi-factor ranking, improving relevant candidate retrieval by 32% and recruiter shortlist acceptance by 24%.

Developed LLM-powered interview and knowledge platforms using RAG, tool calling, persistent state, deterministic validation, hybrid retrieval, reranking, and grounded generation. Led secure production engineering with OAuth2/JWT, RBAC, PII protection, audit logging, encrypted data handling, CI/CD quality gates, and Kubernetes deployments while maintaining 99.95% availability and mentoring five engineers.

Designed and delivered production full-stack web applications using React, Next.js, TypeScript, Node.js, Python, FastAPI, GraphQL, PostgreSQL, Redis, AWS, and cloud-native infrastructure. Built reusable frontend components and integrated user experiences with REST and GraphQL APIs.

Modernized legacy applications into RESTful microservices and cloud-native workloads. Built APIs and data pipelines for ingestion, validation, transformation, enrichment, personalization, analytics, and AI features serving more than one million users.

Deployed AWS services using ECS/EKS, Lambda, S3, RDS, API Gateway, IAM, and CloudWatch. Improved backend capacity through PostgreSQL indexing, Redis caching, asynchronous processing, connection-pool optimization, and horizontal scaling; also built AI-assisted workflows using LLM orchestration, RAG, embeddings, tool calls, validation, retries, and human approval checkpoints.

Developed and maintained clinician-facing full-stack web applications using React, TypeScript, JavaScript, Python, FastAPI, REST APIs, and PostgreSQL. Delivered frontend, backend, and database features from requirements through production release.

Built responsive workflow-driven interfaces and backend APIs that converted manual clinical and administrative processes into structured digital workflows, reducing repetitive documentation and data-entry work by approximately 30 to 40%. Improved commonly used workflow response times by approximately 35% through SQL analysis, query optimization, indexing, caching, asynchronous processing, and API improvements.

Established automated quality checks with Pytest, API testing, frontend testing, and CI/CD workflows. Built AI-enabled document and note-processing capabilities using NLP, LLM APIs, prompt engineering, retrieval workflows, structured-output validation, and human review processes.

Bachelor of Computer Science completed at St. Thomas University in Miami Gardens, Florida.