I&C Project Engineer

• Worked on multiple Controls and Design projects involving Allen-Bradley PLCs, including SLC, CompactLogix, MicroLogix, and safety PLCs.

• Utilized Studio 5000, FactoryTalk, and RSView to support system design, maintenance, integration, and nationwide rollouts.

• Audited and implemented automation upgrades across multiple packaging lines and facilities, ensuring alignment with performance and safety standards.

• Developed and maintained comprehensive CAD drawings, electrical schematics, and control logic diagrams for accurate documentation and cross-functional collaboration.

• Ensured compliance with industry codes and best practices, providing strategic recommendations for both immediate improvements and future scalability.

• Held a leadership role overseeing vehicle testing, performance optimization, and safety compliance while guiding cross-functional technical sub-teams.

• Automated data collection and analysis workflows using MATLAB, Excel, and telemetry systems, streamlining test data processing and reducing manual errors.

• Spearheaded the testing phase with a structured risk assessment plan, achieving 20% productivity gains and 100% scrutineering compliance within the competition.

• Optimized track-specific vehicle dynamics (lap time reduction) by analyzing DAQ data (encoders, proximity, travel, and pressure sensors) to refine suspension parameters, brake bias, aerodynamic elements, ECU mapping, and final drive ratio.

Led the R&D of a swarm of autonomous drones for real-time 3D indoor mapping, integrating SLAM navigation, path-planning, and base station controls. Awarded on multiple national and international competitions and secured $15k+ in total funding.

• Mechanical Design: Modeled and validated drone frames and camera mounts in Autodesk Inventor, conducting stress/vibration analysis to ensure structural agility and durability.

• Electrical Systems: Designed and tested high/low-voltage power distribution systems with fail-safe mechanisms, ensuring safety during testing.

• Autonomous Integration: Architected Linux-based autonomy using ROS/MAVROS, coordinated with our computer engineering team to integrate SLAM algorithms and 3D mapping workflows via pre-planned testing protocols.

• Controls Optimization: Tuned PID parameters and path-planning logic using ArduPilot, Rviz, and MAVLink, achieving stable swarm coordination and accurate environment reconstruction.