Dhriti Jamadagni

I’m a full-stack developer who builds scalable, production-ready web applications and uses AI-driven tooling to move faster without sacrificing quality. Recently, I designed and deployed scalable web applications, integrating AI-driven tooling that improved development speeds by 50%, while optimizing performance and responsive redesign to reduce load times.

I also bring an applied research mindset to engineering—at a computer science research internship, I conducted STPA-based safety analysis on aerospace brake systems to identify systemic risk and control failures. I built a Python + NLP automation pipeline that generated 200+ structured test cases from Simulink models, reducing manual effort by 75%.

Across my projects, I blend ML/NLP with real-world problem solving: I trained an InceptionV3-based CNN for structural damage detection (92% accuracy), engineered a role-based warehouse management system with real-time inventory tracking and secure authentication, and created an NLP-driven framework to auto-generate structured validation cases that increased testing throughput by 75%.