Customer Support Control Systems

RAHUL SHINDE

Ashburn, VA • 716-***-**** • ********@*******.*** • LinkedIn: https://www.linkedin.com/in/rahuljshinde ROBOTICS & INDUSTRIAL SYSTEMS CUSTOMER SUPPORT PROCESS IMPROVEMENTS ELECTRO-MECHANICAL TROUBLESHOOTING Results-focused MSc in Robotics graduate with a multidisciplinary background and passion for robotics, automation, manufacturing, and industrial systems. Driven to replace repeatable processes and reduce manual intervention. A self-directed professional with outstanding customer service, support, and hands-on technical work drives an immediate response to technical challenges. CORE COMPETENCIES

● Root Cause Analysis and validation

● Software and Hardware Integration

● Mechanical Assembly and Calibrations

● Control Systems & PID Tuning

● Production Processes & Quality Assurance

● Multidisciplinary Drawings(2D/3D)

● Maintainance and Commisioning

● Automation and Manufacturing

● Customer Support and Training

● Compliance & Process Improvements

● Factory & Operational Acceptance Testing

● Analytical & Organizational Skills

EDUCATION

Master’s of Science in Robotics, State University of New York Buffalo, NY February 2021 – June 2022 Bachelor's of Electronics Engineering, University of Mumbai Mumbai, India August 2013 – May 2016 Diploma in Industrial Electronics, University of Mumbai Mumbai, India August 2009 – May 2013 TECHNICAL SKILLS

Programming Languages: Python, Java, C++, SQL

Electrical and Mechanical Testing: Hardware and Software Integration, Control Systems, Sensors, Transducers, Actuators, AC/DC Voltages, Motors, Embedded Systems, Instrumentation, Electrical Ladder Diagrams, Mechanical Assembly Drawings, Circuit Diagrams and Schematics, Multimeter, Oscilloscope, FAT, OAT, QA, Safety, Encoders, Bill Of Materials, PPE

Other: MATLAB, Git, Bitbucket, Agile, Scrum, Jira, Zoho, Salesforce Relevant Courses: Robotics Operating System, Machine Learning, Engineering Drawings, Control Systems, Engineering Analysis, Embedded Systems, Electronics PROFESSIONAL EXPERIENCE

Python Developer (Full Time), CloudData Technology LLC Wilmington, DE July 2024 – Present Tools/Technologies: Python, Machine Learning, AWS (Amazon Web Services), CI/CD, SAS, Pandas, GPU, SDLC, Git

● Monitoring model and performance accuracy, implementing the retraining process as necessary using Amazon Web Services

● Working closely with cross-functional teams, including data scientists, engineers, product managers, and stakeholders. Field Service Engineer (Full Time), VPG Sensors Poestenkill, NY July 2023 – May 2024 Tools/Technologies: Physics, Instrumentation, Engineering Drawings, Customer Support, SW/HW integration, Scripting, Sensors, Electro-mechanical troubleshooting, Engineering Analysis, QA, Control Systems, PLC, AC/DC Voltage, Mechatronics, HMI, Data Analysis, Scripting, P&ID Controls, Safety,

● Improved processes for assembling, installing, and troubleshooting a multi-million dollar Physical Thermal-Mechanical Simulator (Gleeble) machine, reducing checkout procedure time by two business days.

● Performed root cause analysis, factory acceptance testing, simulations, and calibrations, enhancing established processes.

● Responsibly troubleshoot and calibrated load cells, embedded, mechanical, electrical, electronic, pneumatic, hydraulics, servos, EtherCAT, HMI, and control systems using instrumentation, mechanical and electrical diagnostic tools.

● Reviewed the engineering specifications for the equipment, provided feedback to the factory for any necessary improvements, and submitted engineering change orders.

● Identified and fixed issues in the electrical, mechanical, and electronic components and submitted engineering change orders.

● Contributed to R&D solutions, maintained QA, and monitored production processes to promote safety and security.

● Collaborated with scientists on-site and remotely to set up experiments for scientific research in a lab environment. Software Development Engineer (Full Time), Amazon.com Services LLC. New York, NY October 2022 – March 2023 Tools/Technologies: Java, React JS, Typescript, JavaScript, NodeJS, Git, EC2, S3, REST API, Unit Testing, SDLC, CI/CD, AWS (Amazon Web Services), DynamoDB

● Designed and coded new software and reviewed and modified existing software to add new features for production.

● Utilized AWS technology tools such as Route 53, IAM, EC2, S3, Cloud Formation, and CloudWatch to improve process development and monitoring. Used version control system, Git, to manage software updates and track/review code for teammates. AI/ML Software Engineer Intern (Internship), RIG Inc. Bethany, CT Jan 2022 – May 2022 Tools/Technologies: Python, Keras, Tensorflow, AWS (Amazon Web Services), Pandas, Numpy, Seaborn, Scikit-Learn, Spark, CNN, GPU, SDLC, Git

● Designed/coded CNN to detect forged signatures on a written check. Customized hyperparameters to achieve 98% model accuracy.

● Exhibited competency by providing and implementing strategies and solutions to improve scalability and performance of the model. ACADEMIC PROJECTS COMPLETED

Resistance-Based Bacteria Detection Sensor Master’s Wireless Health Monitoring of Solar Panels Bachelor’s Free Energy Shopping Mall Diploma

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