Fatema Nabila

I’m a Full Stack Engineer with 6+ years of experience building scalable backend services, cloud-native architectures, and data-driven web applications across fintech and IoT domains. I specialize in Python (FastAPI), Node.js, and .NET ecosystems, and I focus on AI-integrated full stack solutions that turn engineering work into clear product value.

At Vexi Tarjeta de Crédito (Operations Support Engineer — Python / AWS), I designed and maintained serverless microservices using AWS SAM and AWS Step Functions. I reduced manual intervention in critical credit-card workflows by ~40% and cut mean-time-to-recovery (MTTR) on production incidents by ~35%, while improving REST API performance with FastAPI async processing and efficient database design (~38% faster API response latency).

I also built structured observability pipelines with AWS CloudWatch (custom metrics, alarms, dashboards), enabling proactive alerting that reduced undetected errors by ~50%. Working in an agile environment, I collaborated with product and QA to triage, diagnose, and resolve Python runtime and integration errors across distributed services, maintaining 99.5%+ uptime SLA and reducing on-call escalation frequency by ~30% through automated operational runbooks and incident-response procedures.

Earlier, I developed embedded C firmware for Arduino-based IoT prototypes (STRATECH International) and built internal web tooling in C# .NET MVC with event-driven tracking via Google Analytics 4 and Google Tag Manager. I’ve also delivered IoT-scale backend services with NestJS and Spring Boot (sub-100ms p95 telemetry ingestion) and built dashboards and data pipelines in Vue/Vuetify and Google BigQuery/Looker Studio—backed by an Udemy certification in Machine Learning & Data Science with Python.