Available for opportunities

Rajesh
Pachaikani

Embedded Systems & Robotics Engineer

I build production systems that survive outside the lab — firmware, ROS-based robotic arms, edge AI pipelines, and IIoT infrastructure for industrial clients. 5+ years shipping real hardware in noisy, failure-prone environments.

View Experience Get in Touch
5+
Years Experience
6+
Industrial Clients
92%
Vision Accuracy
1354
GATE AIR
// 01. about

Who I Am

I'm a Mechatronics Engineer and founder of Unartech Solutions, based in Coimbatore, Tamil Nadu. My work sits at the intersection of embedded firmware, robotics, and industrial AI — I design systems end-to-end, from hardware bring-up and sensor integration to deployment and long-term reliability.

My professional roots are in HIL testing and autonomous simulation at Caterpillar, where I built CAN J1939 and Siemens S7 automation frameworks and worked on drone collision-avoidance in Gazebo/ROS. Since then, I've delivered production computer vision, IIoT, and robotic arm systems for manufacturing and automotive clients.

I'm deeply interested in AGVs, robotic arm control, and edge AI — systems that have real constraints, real consequences, and zero tolerance for lab-only reliability.

Outside engineering: I run a YouTube channel on Rust & OpenCV, build 3D-printed products, and have a growing interest in generative algorithmic art.

// system.info
LocationCoimbatore, Tamil Nadu
RoleEmbedded & Robotics Eng.
EducationM.E. Mechatronics, Anna University
GATEAIR 1354 (2019)
Emailrajeshpachaikani@live.in
GitHubrajeshpachaikani
LinkedInrajeshpachaikani
Status● Open to roles
// 02. skills

Technical Stack

⚙️ Embedded & Hardware
ESP32STM32Raspberry Pi ARM CortexArduinoYocto BuildrootEmbedded C/C++CAN J1939 Siemens S7
🤖 Robotics
ROSMoveItGazebo MAVLinkArduPilotCANopen Servo/Actuator Control
👁️ Computer Vision
OpenCVDefect DetectionCamera Calibration QR/Marker SystemsReal-time Inference
🧠 Edge AI & Systems
PythonEdge Inference (ARM) MQTTWebRTCLinux DockermTLS
🔬 Testing & Validation
HIL TestingCAN Test Automation GPS SimulationProtocol Validation
📊 IIoT & Data
TimescaleDBInfluxDB Apache SupersetPostgreSQL Predictive Maintenance
// 03. experience

Work History

Founder & Systems Engineer
Unartech Solutions 2019 – Present · Coimbatore
  • Delivered embedded, automation, and AI systems for 6+ industrial clients, owning full lifecycle from hardware selection to production deployment.
  • Vision Defect Detection (Vertex Automotive) — OpenCV inspection system for hex punch components achieving 92–95% accuracy under production lighting and vibration. ↓60% manual inspection
  • IIoT Monitoring (Trident Pneumatics) — Real-time data pipeline with TimescaleDB and Superset dashboards for predictive maintenance. ↓30% unplanned downtime
  • Robotic Arm Control (Spotless AI Ltd.) — Implemented ROS manipulation workflows, kinematics configuration, and task execution pipelines with MoveIt.
  • Embedded Firmware (Xenia Espresso GmbH) — ESP32/ARM Cortex firmware for commercial espresso machine: sensor interfacing, actuator control, PID loops.
  • Voice AI Platform (Project Honeybee) — Production smart speaker on resource-constrained ARM hardware with real-time audio streaming, always-on wake-word detection, and zero-exposure edge connectivity via mTLS.
  • Data Collection & Analytics Platform (Apollo Tyres Ltd.) — Led 5-person team on 8-month industrial data engineering project, delivered on schedule.
Post Graduate Intern
Caterpillar Inc. Dec 2020 – Sep 2021 · Chennai
  • Built Python automation frameworks for HIL testing using CAN J1939, Siemens S7, and GPS simulation. ↑35% test coverage
  • Developed autonomous drone collision-avoidance simulation in Gazebo/ROS, including obstacle detection and path correction logic.
  • Identified protocol-level integration defects early in a safety-critical manufacturing validation cycle.
// 04. projects

Selected Work

🔊
GitHub
Project Honeybee
Production-grade voice AI smart speaker with dual-hardware variants (Radxa SBCs), custom Debian OS, real-time audio streaming, and always-on wake-word detection. Secure edge connectivity via mTLS with zero open ports.
Radxa SBCDebianGolang Rust/TaurimTLSOpenWakeWord
👁️
Vision Defect Detection
Industrial inspection system for hex punch components deployed at Vertex Automotive. Achieved 92–95% accuracy under variable lighting and mechanical vibration, cutting manual inspection by 60%.
OpenCVPythonEmbedded Linux
🚁
Autonomous Drone Sim
Quadcopter collision-avoidance simulation with real-time obstacle detection and path correction logic. Developed during Caterpillar internship using Gazebo, ROS, and ArduPilot/MAVLink.
ROSGazeboArduPilot MAVLinkPython
♻️
Reverse Vending Machine
Vision-driven bottle classification and QR-code validation system with full electromechanical automation. Improved sorting throughput by 30% vs. manual process.
Raspberry PiOpenCVServo Control
📡
IIoT Analytics Platform
End-to-end IIoT data pipeline for Trident Pneumatics air filter production testing — real-time metrics, predictive maintenance alerts, and operations dashboards.
TimescaleDBApache Superset MQTTPython
✋
GitHub
Gesture Robotic Arm
Real-time hand gesture recognition driving a 3-axis robotic arm with low-latency touchless control — demonstrating human-machine interaction for industrial and assistive applications.
OpenCVPythonArduino Servo Control
// 05. contact

Get In Touch

Let's build something real.

I'm open to embedded systems, robotics, and edge AI roles — particularly in AGV, robotic arm, HIL testing, or industrial automation domains. I'm also happy to discuss freelance engagements or technical consulting.

Reach out directly via email or connect on LinkedIn. Response time is usually within 24 hours.

Send Email
✉
rajeshpachaikani@live.in
Email
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rajeshpachaikani
LinkedIn
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rajeshpachaikani
GitHub
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@makeitnow_in
YouTube — Rust & OpenCV
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+91 96982 08400
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