At Boeing India Pvt Ltd → Jeppesen ForeFlight, I built an Intelligent Document Processing platform with Angular, Java/Spring Boot, and Python/FastAPI. Its configuration-driven architecture supports VFR, IFR, and AOM charts and TERPS data; prompt engineering and anchor-based and contour detection achieved 97% accuracy on AOM charts.
I also developed the Flight Information Quality Report, a full-stack application with a microservices backend, orchestration layer, and Azure Service Bus. It reduced flight chart processing time from 15 to 5 minutes per chart.
At Samsung R&D Institute India, I worked with CodeT5 for automated text-to-code generation, identifying vulnerabilities and fine-tuning models on 1,170 instances. I received a Certificate of Excellence for my performance.
Earlier, as a Software Engineering Intern at Boeing India Pvt Ltd, I built a monitoring tool for ANSP sites and helped reduce manual effort by 88%. My projects include a customer support messaging app with an LLM-powered assistant and a phishing detection web app that achieved 94.46% accuracy.
