Summary
Manoj Jeswani is a Senior Software Engineer with 9 years of experience building cloud-native, production-grade AI platforms that blend distributed systems engineering with generative AI. He designs and re-architects large-scale Kubernetes and multi-cloud infrastructures, and today focuses on LLM-powered platforms, agent orchestration frameworks, RAG pipelines, and secure multi-tenant AI deployments for enterprise workloads. At Apple he engineers agentic orchestration and RAG-enabled workflows that connect observability, execution engines, and knowledge bases to enable autonomous and assistive enterprise workflows. Previously at HackerEarth he led scalable SQL evaluation engines, real-time deployment pipelines and inter-cloud architectures, demonstrating a strong track record in reliability and performance optimization. An active contributor to the Jupyter ecosystem (Jupyter Enterprise Gateway) and an advocate for production-ready AI, he combines deep systems skills with hands-on LLM fine-tuning and prompt engineering. Notably, he pairs infrastructure-level thinking with applied AI — building platforms that let models operate safely and autonomously at scale.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at Swami Keshwanand Inst. Of Tech. Mgt. & Gramothan, Jaipur
Higher Secondary Science and Mathematics, Higher Secondary Science and Mathematics at Maheshwari Public School, Ajmer
English, Hindi, Sindhi