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 Kancheepuram.

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 (Fall 2023, 2024)

  • Masters courses on Services and Cloud Technologies - Practical Lab sessions
  • Mentored students in advanced distributed systems concepts

Undergrad Teaching

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

Publications & Research

I have a fledgeling publication record including papers at top-tier conferences like IC2E 2023.

Technical Skills & Generalism

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

Technical Skills

Core Programming Languages

  • Python
  • Go
  • Rust
  • C/C++

Systems & Infrastructure

  • Stream Processing Systems - Apache Kafka, distributed event processing
  • Cloud Infrastructure - AWS, OpenStack, multi-cloud deployments
  • Containerization - Docker, Kubernetes, container orchestration
  • Embedded Systems - Arduino, Raspberry Pi, low-level hardware interfacing

Frontend & Full-Stack

  • Modern Web Stack - React, Next.js, Vue.js, Tailwind CSS
  • Backend Development - Flask, full-stack architecture
  • Production Systems - End-to-end application deployment and scaling

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

My systemic and generalist understanding 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.

Autonomous Underwater Vehicle

Founding member and co-leader of an interdisciplinary team (8 members across mechanical, electronics, and computer science) that developed an autonomous underwater vehicle, achieving 17th place at the SAUVC 2019.

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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