Narayan Muniswamy

About Narayan Muniswamy

Technical leader with deep knowledge in software development life cycle, virtualization, storage, docker, kubernetes, SaaS, distributed systems, expertise in AI orchestration and build with AI.Polyglot programmer well versed in Python, Java and Golang.Key skills: Software development, Platform engineering, Site Reliability, AI/ML, LLMs, AgenticAI, Langchain, MLops Performance, Scalability, DevOps CI/CD, Backend engineering, Frontend JS/React, Application profiling, Test automation, Infrastructure automation, Jenkins, Git, Springboot, numpy, pandas, Microservices, Cloud Native application, RestAPI, Docker, Kubernetes, Distributed systems, Data structures and algorithms, Design patterns, Object oriented design, Concurrency and Multi threadingInterests in software architecture, performance optimization, open source software, large scale system design with emphasis on performance, scalability, reliability and availabilityMentor engineers with tech and road map, actively involved in innovation forumsI\'m eager to contribute my expertise to dynamic teams and impactful projects. Feel free to reach out if you are looking for someone with technical acumen and eye for detail in managing high performing team, implementing complex devops, platform engineering and site reliability projects.

Experience

1. Technical Lead

   IBM

   Mar 2023 — Present

   Technical Lead, Public, Hybrid and Private Cloud Initiatives for Power Virtual Server (IBM Compute Cloud Services)Led end-to-end public and private cloud programs for Power Virtual Server, orchestrating cross-functional engineering teams from project inception through delivery, stakeholder alignment, and executive presentations. Drove strategic planning, execution, and coordination to deliver high-impact cloud services at scale.Key Leadership Contributions:1. Spearheaded resolution of complex performance and reliability challenges across multi-tier system architectures, developing custom tools and applications that eliminated manual toils and boosted operational efficiency.2. Engineered systematic performance characterization utilities, streamlining diagnostics for distributed environments.3. Architected a full-stack error and incident analysis platform using Python, Flask API, Elasticsearch, and ReactJS, enabling real-time observability and root-cause insights.4. Designed and deployed a high-performance, parallel infrastructure crawler and verifier to detect stale resources across hundreds of servers in distributed data centers, preventing waste and enhancing reliability.5. Implemented advanced data summarization pipelines with Pandas and NumPy, accelerating analysis for large-scale datasets.6. AI/LLM integration for automated data analysis and root-cause analysis (RCA)

Education

• Birla Institute of Technology and Science, Pilani

  Master’s Degree, Software Engineering

  2015 — 2017

• Ganadipathy Tulsi's Jain Engineering College/Anna University

  Bachelor of Engineering - ECE

  2007 — 2011

Skills

• Loadrunner
• Virtualization
• Javascript
• C
• Solutions Design
• Wily Introscope
• Perl
• C++
• Sitescope
• Dynatrace
• Jquery
• Jmeter
• Jprofiler
• Perl Automation
• Performance Testing
• Open Source Software
• Quality Assurance
• Mongodb
• Java
• Performance Engineering
• Hp Performance Center
• Itko Lisa
• Node.js
• Performance Tuning
• Application Performance Management
• Linux
• Quality Center
• Angularjs
• Python
• Html
• Hp Quality Center