CMU Graduate Student • Software Engineer
I'm Maithreyee Sampath, a software engineer and Carnegie Mellon graduate student focused on software systems, human-computer interaction, and applied AI. My work combines technical depth, practical execution, and a strong interest in building products that genuinely help people.
Focus
I like building systems that are technically strong and intuitive for people to use.
Focus
My engineering base spans APIs, frontend systems, distributed data flows, and production delivery.
Focus
I care about academics, sports, teamwork, and experimenting with new tools that make work better.
Selected Experience
I've worked across industrial software, enterprise frontend systems, and AI-facing product experimentation.
May 2025 - Aug 2025
Manufacturing Futures Institute • Pittsburgh, USA
Aug 2022 - July 2024
Mercedes-Benz Research and Development • Bangalore, India
Case Study
A project that best captures how I combine engineering, human-centered thinking, and real-world problem solving.
Undergraduate Project • NIE Mysore • Nov 2021 - Mar 2022
Designed an IoT-enabled safety wearable that combined fall detection, panic alerts, and remote health monitoring support for elderly users and pregnant women.
Tech Stack
The Problem
Falls among elderly users and limited access to affordable day-to-day monitoring for pregnant women both create serious safety gaps, especially when immediate help is not nearby.
My Approach
I worked on a wearable-first IoT solution that combined fall detection, panic alerts, and health signal monitoring, with a Flutter app handling processing, communication, and emergency workflows.
Outcome
The project brought human-centered safety, sensor-driven interaction, and practical mobile support into one system and was strong enough to be documented in an arXiv publication.
Why It Matters
Education
My academic path combines systems thinking, human-computer interaction, and interest in operationalizing AI.
Aug 2024 - Dec 2025
Master of Information Systems Management
July 2018 - Aug 2022
Bachelor of Engineering in Information Sciences
Understanding how technical decisions shape real user experience.
Moving AI from prototype ideas into useful, reliable workflows and products.
Building a stronger systems foundation for scalable and dependable software.
Outside Work
Outside engineering, I stay active through sports, enjoy collaborative team environments, and like experimenting with new AI tools and side projects. I want my work to reflect both technical rigor and the energy of someone people genuinely enjoy working with.