Govind KP

Professional Background

3 min read

Professional Background

Education

I hold a dual B.Tech + M.Tech degree in Computer Engineering (with Distinction) from IIITDM Chennai.

Currently, I’m based in Rennes, France, working on my doctoral studies. I’ll be (hopefully) defending my thesis in March 2026!

My thesis is titled “Energy-Efficient Data Stream Processing”. My research focuses on understanding and optimizing the energy consumption of stream processing systems like Apache Kafka, in collaboration with OVHcloud as part of the FrugalCloud initiative.

Industry Experience

Systems Engineer at MathWorks (2020-2022)

  • Managed cloud infrastructure for ~12,500+ servers across 10 sites
  • Architected monitoring system migrations
  • Developed full-stack solutions for infrastructure management

Research Engineer at Inria (2022-2023)

  • Designed frameworks for measuring energy consumption of stream processing systems
  • Contributed to the FrugalCloud initiative
  • Developed empirical research methodologies for systems energy efficiency

Internships & Early Career

  • Various internships in embedded systems, DevOps, and mixed reality development
  • Gained experience across different domains and technology stacks

Academic & Teaching Experience

Teaching Assistant at Université de Rennes

  • Masters courses on Services and Cloud Technologies
  • Mentored students in advanced distributed systems concepts

Teaching Assistant at IIITDM Chennai

  • Algorithms courses
  • Conducted workshops on deep learning and Linux
  • Mentored undergraduate students in technical and research aspects

Publications & Research

I have a strong publication record including papers at top-tier conferences like IC2E 2023. My research contributions span:

  • Energy efficiency in distributed systems
  • Stream processing system optimization
  • Empirical systems research methodologies
  • Cloud infrastructure management

Technical Skills & Generalism

As a technology generalist, I have broad expertise across the full technology stack:

Core Programming Languages

  • Python - Deep proficiency with years of hands-on experience
  • Go - Extensive use in systems programming and cloud infrastructure
  • Rust - Advanced knowledge for performance-critical applications
  • C/C++ - Strong foundation in systems programming

Systems & Infrastructure

  • DevOps - Extensive experience with CI/CD, automation, and infrastructure as code
  • Cloud Infrastructure - AWS, OpenStack, multi-cloud deployments
  • Containerization - Docker, Kubernetes, container orchestration
  • Backend Systems - Architecture design and scalable system development

Research & Development

  • Stream Processing Systems - Apache Kafka, distributed event processing
  • Distributed Systems - Design, implementation, and optimization
  • Energy Efficiency - Measurement frameworks and optimization techniques
  • Empirical Systems Research - Methodology design and experimental validation

Cross-disciplinary Skills

  • HCI and Design Thinking - User-centered design approaches
  • Systems Thinking - Holistic approach to problem-solving
  • User Research - Understanding user needs and behaviors
  • Interdisciplinary Collaboration - Working across technical and non-technical domains

This generalist approach allows me to bridge different domains - from low-level systems optimization to user-centered design, from academic research to industry-scale engineering solutions.

Notable Projects & Leadership

LifeOS

An AI-powered personal ‘sousveillance’ system using LLM pipelines and Whisper for transcription, creating a self-hosted, private system for comprehensive personal memory augmentation.

SAUVC 2019

Founding member and co-leader of an interdisciplinary team (7 members across mechanical, electronics, and computer science) that developed an autonomous underwater vehicle, achieving 17th place qualification.

Open Source Contributions

Active contributor with several projects including:

  • NZB - Rust-based terminal interface for Nozbe with ~2000 downloads
  • Research Frameworks - Open-sourced frameworks for energy consumption measurement
  • Various tools and utilities for systems automation

My approach to projects emphasizes systems thinking, interdisciplinary collaboration, and practical impact - whether in academic research, industry engineering, or personal exploration.

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