JOEL SINGH
"Building intelligent robotic systems by combining robotics, automation, embedded systems, and software."
About Me
I am a B.Tech Robotics & Automation Engineering student with hands-on experience in robotics simulation, ROS2, autonomous mobile robots, embedded systems, industrial automation, computer vision, and machine learning.
I enjoy designing systems that combine hardware, software, sensors, control systems, and intelligent algorithms to solve real-world engineering problems.
Technical Skills
Comprehensive toolset spanning robotics software, embedded hardware, industrial automation controls, and deep learning frameworks.
Robotics & Simulation
Programming
Embedded Systems & IoT
Industrial Automation
AI & Computer Vision
Engineering Tools
Featured Projects
Engineering case studies across autonomous robotics, medical deep learning, embedded systems, and industrial simulation.
ROS2 & Nav2
Autonomous Warehouse Mobile Robot
Autonomous mobile robot simulation for warehouse navigation using ROS2. Integrates mapping, localization, path planning, obstacle avoidance, and visualization.
Deep Learning / CNN
MRI Brain Tumor Detection (Deep Learning)
Academic research project evaluating CNN architectures (Xception, InceptionResNetV2, VGG16/19) for 4-class MRI brain tumor classification across 6,368 scans.
ESP32 & IoT
Smart Irrigation & Water Management
Automated ESP32-based irrigation & water tank management. Controls borewell pump dynamically between 30% trigger level and 80-85% cut-off limit.
Smart Automation
Smart Waste Segregation Dustbin
Sensor-based solid waste management system designed to detect and sort waste into Plastic, Metal, E-Waste, and General categories.
PIR / IR IoT
Smart Library Seat Allocation System
Seat occupancy detection system utilizing PIR and IR sensor fusion to track live desk availability and optimize HVAC/lighting energy consumption.
RoboDK & Industrial Arm
Robotic Pick-and-Place Simulation
Industrial robotic arm cell simulation featuring FANUC S-430iL 6-axis manipulator and OnRobot VGP20 vacuum gripper for automated conveyor handling.
Work Experience
Practical exposure to operational environments, technical execution, and engineering workflows.
Engineering Trainee / Intern
Gained practical exposure to operational workflows, technical learning, and engineering equipment maintenance.
Key Responsibilities & Contributions:
- Observed and documented industrial equipment operational parameters and maintenance protocols.
- Assisted senior engineers in troubleshooting control panels and sensor interface signals.
- Compiled operational data logs and contributed to workflow optimization reports.
- Applied standard safety protocols and engineering best practices across production units.
Certifications & Courses
Continuous professional development across robotics control, PLCs, software engineering, and machine learning.
Robotics & Controls Virtual Experience
AutomateX: Mastering PLCs for Industrial Automation
Crash Course on Python
Complete Interview Preparation — C++
Development in Flutter
100 Days of Code: The Complete Python Pro
Achievements & Recognition
LeetCode Biweekly Contest 96
Achieved top tier global ranking among 21,000+ competitive programming participants worldwide.
CodeChef Starters 76 (Div 3)
Ranked 557 out of 4,000+ participating algorithmic programmers.
Dean's Honor Roll
Recognized among the Top 10% academic students in Robotics & Automation Engineering.
HACKOVERFLOW 5.0 (NIT Durgapur)
Secured podium 3rd position in national level hackathon competition at NIT Durgapur.
Appreciation from Mr. Rajnath Singh
Received an official Letter of Appreciation from Honorable Union Minister Mr. Rajnath Singh for exceptional performance in AISSCE.
My Education
Lovely Professional University
Punjab, India
Robotics & Automation Engineering
Core Relevant Coursework & Systems:
Let's Build Something Intelligent
Open for robotics engineering positions, autonomous systems roles, research collaborations, and internship opportunities.