Aryaman Godara

Building AI systems and backend infrastructure for an edtech platform focused on AP, SAT and college admissions prep. • Designed and built end-to-end backend APIs on FastAPI, including an AI grading engine that scores handwritten AP and SAT exam answers against official marking schemes using handwriting recognition and LLM-based rubric scoring. • Engineered a continuously running server-side job that delivers pre-class briefings on each student's progress (prior-class coverage, quiz results, assignment comp

• Designed and deployed LLM-powered applications using transformer-based models (e.g., GPT, open-source LLMs), improving user query response accuracy by up to 30%. • Strengthens development efficiency through build system optimization and CMake-based multi-target build environments, improving firmware compilation workflows, integration pipelines, and embedded software delivery processes • Built and optimized Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., FAISS, Pinecone),