Intelligent Systems Product Engineer
Dhruv Jaiswal
Embedded systems + edge ML + product thinking, built into AI-powered physical solutions.
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.
Work
Featured projects
Experience
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.
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.
Graduate Technical Advisor · CMU IDeATe
Peer Mentor · iii Peer Mentorship Program, CMU
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.