Prabhakar Singh

Prabhakar Singh is an accomplished Software Engineer with 13+ years of experience building scalable software solutions and architectures across leading technology companies. Currently at Meta, he specializes in developing LLM-based systems for spam detection across Instagram, Facebook, and Threads, achieving breakthrough performance improvements through innovative Retrieval-Augmented Generation (RAG) implementations.

With a proven track record of delivering high-impact solutions, Prabhakar previously spent nearly three years at DoorDash, where he designed comprehensive fraud detection systems that saved over $1.5 million annually while significantly reducing false positives and improving dasher experience. His expertise spans the full technology stack, from backend systems and machine learning to cloud infrastructure and API development.

Prabhakar honed his skills at Oracle for over six years, working as software engineer on enterprise-level solutions including WebLogic, WebCenter Portal, and Oracle Cloud Infrastructure integrations. He also gained valuable experience during his internship at Amazon, contributing to digital delivery systems and vendor integration tools.

Prabhakar holds a Master's degree in Computer Science from USC (3.8 GPA) and a Bachelor's in Computer Science from NIT Allahabad. His technical expertise encompasses AI/ML, cloud computing, distributed systems, and fraud detection, with proficiency in Java, Python, and modern development frameworks. He combines strong technical skills with excellent communication abilities and a solution-oriented approach to complex engineering challenges.