Prakhar Mangal

About Prakhar Mangal

IIT Delhi (CSE) graduate, AIR-95 (JEE Advanced), building advanced AI systems at the intersection of Generative AI, large-scale machine learning, and autonomous agent architectures. I specialize in designing and deploying production-grade multi-agent AI systems that reason, retrieve, decide, and execute across complex enterprise environments. At Readyly, I architect scalable AI agent networks and RAG-based workflow automation frameworks that integrate LLMs with structured databases, APIs, and enterprise knowledge systems to automate high-impact, multi-step processes. My focus is not just model building — it is end-to-end AI system engineering: • Multi-agent orchestration & autonomous reasoning systems • Retrieval-Augmented Generation (RAG) at scale • LLM fine-tuning & domain adaptation • Latency-optimized, production AI deployments • ML/DL model training across vision and language domains I operate with a systems-first mindset — designing architectures that are scalable, fault-tolerant, and performance-driven. From deep learning model development to large-scale AI infrastructure, I build solutions that move from research-grade concepts to real-world execution. I am particularly driven by problems that require intelligence, autonomy, and precision at scale — building AI systems that don’t just respond, but reason and act.

Experience

1. Generative Ai Engineer

   Readyly

   Sep 2023 — Present · Jaipur, IN

   Architected and deployed a scalable multi-agent AI network, enabling collaborative reasoning, tool usage, retrieval, and autonomous task execution across enterprise workflows.Designed and implemented RAG-based workflow automation systems, integrating LLMs with enterprise knowledge bases, structured databases, and APIs to automate complex, multi-step business processes.Built and fine-tuned multiple ML/DL models to enhance conversational intelligence, domain adaptation, and contextual reasoning in production-grade AI systems.Developed and productionized LLM-powered chatbots and AI agents with a focus on latency optimization, reliability, and scalable deployment for government and commercial clients.Translated applied GenAI research into robust, real-world AI systems driving intelligent automation and operational efficiency at scale.

Education

• Disha Delphi Global Sr. Sec. School, Kota

  Secondary

  2014 — 2015

• Indian Institute of Technology, Delhi

  Bachelor of Technology, Computer Science

  2017 — 2021

• Bhagat Public School, Kota

  Senior Secondary

  2015 — 2017

• Noble Public School, Hindaun City, Rajasthan, India

  8th Standard

  2004 — 2013

• Modern Public School, Kota

  9th Standard

  2013 — 2014