Rishi Mishra

About Rishi Mishra

I design and scale distributed, cloud-native systems that power intelligent, production-grade platforms.With 11 years of experience, I specialize in architecting scalable backend systems, multi-region cloud infrastructure, and resilient platform architectures that operate reliably under high-throughput and low-latency constraints.My expertise spans distributed systems design, event-driven architectures, data modeling across SQL and NoSQL databases, and cloud-native deployments using containerized and multi-region environments. I focus on building systems that are fault-tolerant, observable, and designed for long-term scalability.I also work at the intersection of platform engineering and AI. I have hands-on experience integrating AI and Generative AI capabilities into production systems, including model integration, data pipelines, and backend orchestration required to support AI-driven applications. I understand both DevOps and MLOps practices needed to operationalize these systems reliably.Technically, I bring strong foundations in data structures and algorithms, concurrency, performance optimization, and backend engineering in Java and Python. I have working knowledge of React and TypeScript to collaborate effectively across full-stack teams.As a Senior Staff Engineer, I lead cross-functional initiatives across globally distributed teams driving architectural direction, defining engineering standards, mentoring engineers, and aligning platform decisions with long-term scalability goals.I am particularly interested in building large-scale distributed platforms and AI-enabled infrastructure where architectural depth and engineering rigor matter.

Experience

1. Senior Staff Software Engineer

   Belt Software

   Apr 2023 — Present

   Leading architecture for a multi-tenant, cloud-native SaaS platform with AI-enabled workflows and multi-region deployment.• Architected a distributed, event-driven microservices platform processing ~100K events/day with strong tenant isolation, fault tolerance, and production-grade observability.• Designed multi-region deployment strategy and cloud infrastructure standards, improving availability and reducing deployment failures by ~30%.• Led integration of AI/GenAI workflows, including privacy-first LLM orchestration, local inference architecture, and RAG optimization reducing token costs by ~60%.

Education

• Raj Kumar Goel Engineering College

  Bachelor of Technology (B.Tech), Computer Science & Engineering

  2011 — 2015

• Rani Laxmi Bai Sr. Sec. School , Lucknow

  12th, PCM

  2009 — 2010

• St. Xavier's High School

  10th

  2007 — 2008

Skills

• Html
• Mysql
• Java
• Sql
• Struts
• Jquery
• Core Java
• Angular
• Javascript