Farid Oladega Constanc e

Designed and implemented large-scale intelligent automation pipelines using Python (FastAPI), LangChain, and TypeScript (React, Next.js). Reduced manual claim processing time by 70%. Orchestrated multi-agent AI systems (CrewAI and RAG) for document parsing, classification, and summarization with 25% improved accuracy. Embedded OpenAI and Hugging Face models into backend APIs for entity recognition, text summarization, and contextual decision-making at scale. Built secure HIPAA-compliant EHR ingestion using AWS Kinesis, Lambda, and S3 processing over 1M transactions daily with 99.99% uptime. Implemented AI observability dashboards with Next.js, D3.js, and Grafana. Established MLOps lifecycles with MLflow, Docker, and GitHub Actions for automated training, deployment, and rollback. Architected distributed cloud-native microservices on AWS ECS/EKS with API Gateway. Reduced API latency by 35% via Redis caching, asynchronous queues, and refactored dependencies. Led cross-functional teams al

Directed migration from monolithic architecture to serverless microservices on AWS (ECS, Lambda, DynamoDB), reducing infrastructure costs by 25% and increasing system throughput by 3x. Built predictive analytics for anomaly detection and performance forecasting. Delivered full-stack features: React/TypeScript frontend with real-time updates via GraphQL and WebSockets supporting 10K+ active users. Automated DevOps with Terraform, Docker, and GitHub Actions, cutting release time by 20%. Designed high-throughput API gateway with rate limiting, JWT-based auth, and OAuth2 to improve API reliability by 30%. Established coding standards for TypeScript, observability, and microservice lifecycle management, mentoring 6 developers. Optimized SQL queries and Redis caching, reducing query latency by 40%.

Built modular backend services with Python (FastAPI, Flask) and Node.js handling high-volume analytics workloads for 100K+ monthly active users. Connected Django and Flask APIs to frontend dashboards for real-time data visualization. Designed event-driven architectures using RabbitMQ and BullMQ for asynchronous analytics pipelines and reporting tasks. Delivered performant dashboards in React + TypeScript with real-time campaign data visualization and UX. Migrated legacy PHP/jQuery apps to React/Redux SPAs, reducing technical debt and speeding feature delivery by 35%. Automated testing with Mocha, Jasmine, and Selenium, reducing production defects by 20%. Containerized staging environments on AWS EC2; authored GraphQL and REST APIs to serve analytics data; automated billing, email, and notifications using AWS Lambda, Twilio, Stripe; built CI/CD pipelines; optimized PostgreSQL and MongoDB schemas, reducing query response times by 45%.