Micheal Ighietsemhe

Integrating production AI workflows and LLM orchestration into core backend services, powering intelligent automation for fraud detection, document processing, and automated verification. Built a NestJS and TypeScript platform for payments, escrow, and vendor wallets, supporting 100,000+ event-driven processes daily at 99.9% uptime.

Led four engineers and backend architecture for a diplomatic intelligence platform using NestJS, Fastify, Prisma, PostgreSQL, and Redis. Built secure invitation and OTP activation, a staged ingestion pipeline, and rebuilt real-time messaging with Socket.IO and React Query, cutting API traffic per message by about 75%.

Developed a Collaborative Filtering algorithm to process 300+ million hotel reviews, boosting user engagement by 95% and optimizing performance by 50% via multiprocessing and caching. Enhanced hotel recommendations, increasing accuracy by 92% and boosting booking conversions by 25%.

Architected scalable data pipelines with Confluent Kafka for real-time data ingestion, improving data accessibility and accuracy by 77% and reducing processing time by 60%, handling over 1+ million events daily. Automated ETL processes, reducing manual intervention by 85% and optimizing backend services for a 60% reduction in response times.

Built and deployed microservices with RESTful APIs and RabbitMQ, handling 70,000+ requests per minute. Used Docker and Kubernetes for horizontal scaling, maintaining 99.95% uptime during a 50% user base growth. Optimized performance bottlenecks using Redis caching and code profiling tools, reducing response times by 30%.

Grade: 4.2

Activities and societies: President of NACOS '22; Most Outstanding Intern Award '21

BSc in Computer Science with a GPA of 4.2. Served as President of the National Association of Computing Students (NACOS) in 2022 and received the Most Outstanding Intern Award in 2021.