Summary
Danyel Lawson is a Gen AI Developer and seasoned full‑stack engineer with 13+ years of experience delivering resilient, high‑performance systems across finance, healthcare, adtech, and multimedia. He excels at rescuing runaway projects and turning them into early, scalable deliveries while enforcing secure coding, test-driven practices, and measurable code coverage. Comfortable from low‑level assembler/C++ to modern cloud-native stacks (Go, Python, Typescript, Docker, Kubernetes, AWS Lambda/EC2), he has repeatedly led migrations, microservices builds, and SDLC automation at enterprise banks and tech firms. Recently focused on RAG-based financial research chatbots, he combines practical ML/AI productization with deep ops and data-platform experience (Spark, PySpark, Hadoop, Terraform). A natural mentor and cross‑trainer, Danyel also brings an unusual breadth—working languages from Lisp and J/K++ to SQL/Vertica—enabling him to solve problems few engineers can see end-to-end.
13 years of coding experience
17 years of employment as a software developer
Computer Science, Computer Science at Hunter College