Summary
Wilber Hernandez is a versatile computer scientist with 11 years in IT and over 9 years specializing in Python backend and full‑stack development, delivering enterprise-grade systems across telecom, finance, and healthcare. He repeatedly bridges legacy and cloud-native worlds—migrating monoliths to micro-frontends, designing serverless ingestion pipelines, and tuning ETL/ML workflows with Airflow, PySpark, and AWS Bedrock. Comfortable across Python frameworks (Django, Flask, FastAPI), Java, Go, and modern frontends (React/Angular), he pairs pragmatic engineering with strong testing and observability practices (CloudWatch, unit tests). Notable strengths include practical LLM integration for classification/entity resolution and creative cost/throughput optimizations such as stopword token reduction and inference profiling. He holds advanced degrees in computer science and technology management and brings a rare combination of network/telecom operations experience and hands-on cloud software delivery.
11 years of coding experience
23 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at New Jersey Institute of Technology
Master of Science - MS, Technology Management, Master of Science - MS, Technology Management at Stevens Institute of Technology