Bridging the Gap Between CAD & Reality — Translating Physical Mechanics into Intelligent Embedded Systems & Robotics
Hello! I am a passionate Mechatronics Engineer specializing in the intersection of hardware prototyping, firmware engineering, and robotic systems. Currently working as an R&D Product Development Intern, my work is focused on designing robust, energy-efficient embedded devices and automated mechatronic workflows.
- 🔋 Energy Optimization: Experienced in implementing power management strategies on microcontrollers, maximizing battery longevity in remote monitoring setups.
- 📡 IoT Reliability: Engineered robust sensor telemetry nodes, achieving a proven 99.8% MQTT delivery uptime in high-congestion network stress tests.
- 🤖 End-to-End Development: From multi-body CAD assemblies in SolidWorks and Fusion 360, to multi-layer PCB design, up to real-time firmware execution using FreeRTOS and bare-metal C++.
| Category | Technologies / Tools |
|---|---|
| Languages |      |
| Hardware & MCUs |      |
| CAD & Manufacturing |     |
| Protocols & Frameworks |      |
An automated mechatronic scanner that controls physical positioning while capturing image slices to reconstruct digital 3D models.
- Key Highlights: Integrated a Raspberry Pi controller with precision stepper motor microstepping via dual-axis gantry; scripted a custom Python processing pipeline to coordinate image capture and depth map alignment.
- Impact Metric: 📉 70% reduction in object digitization time compared to manual point-cloud scanning, achieving a mechanical positioning accuracy of 0.2mm.
- Stack:
Python|Raspberry Pi|OpenCV|Stepper Motors|CAD (Fusion 360)
A low-latency, high-uptime connected smart lighting nodes network configured for adaptive control and road condition telemetry.
- Key Highlights: Designed custom PCB schematics featuring power-monitoring, ambient sensors, and an ESP32 host; implemented an interrupt-driven sensor telemetry system with real-time control loops.
- Impact Metric: 📡 Sustained 99.8% MQTT telemetry delivery uptime during simulated signal-fade stress tests, with 40% energy conservation via sensor-based adaptive PWM dimming.
- Stack:
C++|ESP32|MQTT|FreeRTOS|PCB Design|Active PWM
An industrial-grade indoor mobile robot prototype utilizing differential drive geometry, magnetic tape guidance, and collision avoidance.
- Key Highlights: Engineered the robot's physical chassis using structural stress analyses in SolidWorks; authored Arduino/C++ control firmware executing PID line-following and ultrasonic-based obstacles override.
- Impact Metric: ⚙️ Accurately carried up to a 15kg payload with sub-centimeter path deviation and zero collision incidents during 10+ hours of stress runs.
- Stack:
C++|Arduino|SolidWorks|PID Control|Ultrasonic Array
- LinkedIn: linkedin.com/in/omraj-sawant
- Portfolio Website: omraj.dpdns.org
- Email: omraj.sawant@example.com