Pranit Shaw

I’m a B.Tech in Computer Science and Engineering (Data Science) candidate with hands-on enterprise experience as a Forward Deployed Engineer (FDE) Intern, where I trained in Telecom Essentials, AWS, Data Engineering, and Agentic AI. I build production-inspired AI applications and backend services, with an emphasis on secure engineering and reliable API design.

In my internship, I developed AI solutions using Python, FastAPI, Node.js, REST APIs, Retrieval-Augmented Generation (RAG), LLM workflows, and machine learning. I also implemented enterprise-grade security practices such as JWT Authentication, RBAC, OWASP Top 10 mitigations, and secure API authorization mechanisms, while collaborating in Agile teams for testing, documentation, and deployment.

My projects reflect my focus on evidence-backed, modular AI systems: MedResearch AI uses a Hybrid RAG + QLoRA architecture with vector search, contextual retrieval, and REST APIs for summarization and clinical question answering. I also built a Student Success AI Assistant with full-stack portals, predictive analytics pipelines, and LLM-as-a-Judge evaluation, plus TaskFlow and a Telecom Network Intelligence System to strengthen my full-stack and data engineering capabilities.