MSmaithreyee.com

CMU Graduate Student • Software Engineer

I build human-centered AI systems and reliable software.

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.

5,000+ daily telemetry messages99.5% platform uptime70% faster release cycles60% frontend bundle reduction
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Focus

Human-Centered AI

I like building systems that are technically strong and intuitive for people to use.

Focus

Software Systems

My engineering base spans APIs, frontend systems, distributed data flows, and production delivery.

Focus

Curious All-Rounder

I care about academics, sports, teamwork, and experimenting with new tools that make work better.

Selected Experience

Engineering work with measurable impact

I've worked across industrial software, enterprise frontend systems, and AI-facing product experimentation.

May 2025 - Aug 2025

Software Engineering Intern

Manufacturing Futures Institute • Pittsburgh, USA

  • Built a full-stack digital data backbone platform using React and FastAPI for industrial telemetry ingestion and monitoring.
  • Architected an adapter-agnostic Python ingestion layer for MTConnect, ROS, and MQTT protocols, improving onboarding speed and data accuracy.

Aug 2022 - July 2024

Software Engineer

Mercedes-Benz Research and Development • Bangalore, India

  • Redesigned a legacy desktop tool into a responsive React web application, increasing workflow efficiency by 40%.
  • Migrated frontend architecture to micro-frontends using Webpack Module Federation, enabling parallel development across teams.

Case Study

Smart Safety Watch for Elderly People and Pregnant Women

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

FlutterFirebaseArduinoBluetoothGPSSpO2 SensorsIoT
Read arXiv publication

The Problem

Safety support in moments that matter

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

Wearable-first monitoring and response

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

Practical, research-backed execution

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

  • Combined emergency response, health monitoring, and real-time location sharing in a single concept.
  • Applied HCI and sensor fusion ideas to a problem with direct everyday relevance.
  • Strengthened my interest in building technology that is both technically useful and socially meaningful.

Also built

Review-Driven Product Image GenerationGenAI LabAI SEO ExperimentOrchestra AIFugitive Detection Traffic System for a Safer SocietyUndergraduate Project • NIE MysoreSee full project archiveGraduate and undergraduate work

Education

Academic foundation with strong CS and HCI focus

My academic path combines systems thinking, human-computer interaction, and interest in operationalizing AI.

Aug 2024 - Dec 2025

Carnegie Mellon University

Master of Information Systems Management

Distributed SystemsDatabase SystemsOperationalizing AIAgile Methods

July 2018 - Aug 2022

The National Institute of Engineering, Mysore

Bachelor of Engineering in Information Sciences

Data Structures and AlgorithmsDatabase Management SystemsOperating SystemsComputer Networks

Designing Human-Centered Software

Understanding how technical decisions shape real user experience.

Operationalizing AI

Moving AI from prototype ideas into useful, reliable workflows and products.

Distributed Systems

Building a stronger systems foundation for scalable and dependable software.

Outside Work

Professional, collaborative, and grounded

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.

Sports and teamworkAI experimentationLeadership and mentoring

Connect

Professional, curious, and easy to reach

If you want to talk about software engineering, human-centered product work, Operationalizing AI, or opportunities to collaborate, I would love to connect.

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