Dhruv Jaiswal
Product Engineer | Carnegie Mellon '26
Building embedded systems that sense, decide and act at the edge. Taking robots and IoT hardware from breadboard to shipped product. Pairing edge ML with product thinking, so the hardware solves a real problem.
- 07
- Research / ML / Product / Embedded
- ESP32 / TinyML / Python / RTOS
- Pittsburgh, PA
Introduction
I combine embedded systems, edge ML, and product innovation to build AI-powered physical solutions. At CMU's Integrated Innovation Institute I'm learning to architect safety-critical autonomous systems, grounded in one truth: technology must solve real problems for real people. My path from building production IoT systems in India to robotics at CMU is driven by a single purpose, to create scalable intelligent systems that transform infrastructure back home.
Technical
- ESP32 / Embedded
- TinyML / Edge ML
- Python / C / C++
- RTOS
- MQTT
- MODBUS
- CAN
- I2C / SPI
- ROS
- Computer Vision
- Autonomous Systems
- Safety-Critical Design
Product
- Systems Engineering
- IPD Methodology
- Rapid Prototyping
- UX Research
- Sustainable Design
Tools
- SolidWorks
- Creo
- 3D Printing
- SQL
- Power BI
- Jupyter
- Tableau
- Data Visualization
Interested areas
Robotics
I de-risk early-stage product concepts with rapid, working prototypes that prove feasibility and fit.
Industrial IoT
I bridge legacy infrastructure with modern edge AI without disrupting operations.
Startups
I'm your 0-to-1 engineer who thinks like a founder, technical execution meets business strategy.
Selected work
Featured projects
- 01F1Tenth Autonomous RacingcompetitionA 1/10-scale autonomous race car, from a CMU course build to two Roboracer competitions and ongoing research at the AIMS Lab.ResearchMLResearchML
- 02Invisible CommerceprotoAmazon-sponsored CMU capstone that turned a city-scale commerce question into a building system that moves parcels from lobby to door.ProductResearchProductResearch
- 03Sesame QuadrupedA custom-rebuilt open-source quadruped on ESP32-S3 with dedicated power monitoring.EmbeddedEmbedded
- 04HAHR Reference ArchitectureA systems scaffold for Human Activity and Health Recognition across four sensing lineages.ResearchProductResearchProduct
- 05SonicSense Anomaly DetectionprotoA $10 dual-sensor motor health monitor on ESP32-S3 that listens for sound and vibration anomalies, from custom PCB to ML pipeline.EmbeddedMLEmbeddedML
Experience
CMU IDeATe
Graduate Technical Advisor
Graduate Technical Advisor
Integrated Innovation Institute, CMU
Graduate Teaching Assistant · Courses 49313 & 49742
Graduate Teaching Assistant · Course 49313
Autonomous Racing Researcher / AIMS Lab, Carnegie Mellon University
F1Tenth competition; 5th of 17 teams at the 28th Roboracer Autonomous Racing Competition, IEEE IV 2026, Detroit. Advised by Prof. John Dolan.
New Product Development Intern / Dottie (health-tech startup)
Led technical validation of a biometric wearable roadmap, evaluating EmotiBit and Polar H10 for raw physiological signals.
Embedded Systems / IoT Engineer / Rashail Techlabs, India
Deployed production-grade IoT systems.
Contact
Let's build something that ships.
Open to roles, research collaborations, and consulting on embedded ML and product. The résumé has the full credential trail.