Jatin Naresh Khatri

[email protected] • +91-8849814133 • Vadodara, Gujarat 390022

PROFESSIONAL SUMMARY

A professional engineer having interest in designing and implementing innovative solutions for industrial automation, machinery, and power distribution systems.

WORK EXPERIENCE

Electrical and Automation Engineer

08/2025 - Present

ArcelorMittal Nippon Steel India – Cold Rolling Mill Plant , Hazria,Surat

• Gained extensive hands-on experience in automation of cold rolling mill plant, including commissioning and optimization of control systems

• Installed and maintained industrial cameras and encoders, ensuring reliable data acquisition and continuous operation

• Worked on Remote I/O (RIO) panels and developed strong understanding of DI & DO (digital input and digital output) concepts for field instrumentation and control

• Led the hardware side of an Access Safety System project using ABB software, handling field connections, troubleshooting, and resolution of on-site issues

• Worked on thickness gauge and coating gauge systems used for measuring strip thickness and coating layer, contributing to accurate process monitoring and quality control

EDUCATION

B.Tech - Electrical Engineering

07/2022 - 05/2025

Nirma University GPA: 8.41 / 10

Diploma - Electrical Engineering

07/2019 - 06/2022

The Maharaja Sayajirao University Of Baroda, Vadodara , Vadodara, India GPA: 74.16 / 100

10th

06/2018 - 05/2019

Sadhu Vaswani Vidya Mandir, Vadodara , Vadodara, India GPA: 71.83 / 100

SKILLS

PROJECTS

Automatic Gardening System with Node MCU

Technologies: NodeMCU, Wi‑Fi, Sensors, Mobile Application

• Developed an automatic gardening system using NodeMCU (Wi‑Fi enabled microcontroller) to monitor and control plant watering for better environment and sustainability

• Integrated temperature, soil moisture, and water level sensors to continuously track plant and soil conditions against preset threshold values

• Programmed the system so that a submersible pump automatically turns on when temperature rises, moisture decreases, or water level drops below the set limit, and turns off once the sensor values reach the required preset levels

• Enabled remote monitoring and control through a mobile application communicating with NodeMCU over Wi‑Fi, improving ease of use and system automation

Energy Management System for Small Scale Hybrid Wind Solar Battery Based Microgrid

• Developed and implemented an advanced energy management system for a hybrid microgrid combining wind, solar, and battery storage technologies

• Optimized energy distribution and storage to ensure reliable and efficient power supply, balancing renewable sources with energy demand

• Enhanced system performance through real-time monitoring and dynamic adjustment, achieving significant improvements in energy reliability and cost-effectiveness for small-scale applications

Estimation of Health of Lithium ion batteries for Ev Application

• Developed a battery SoH estimation model integrating traditional methods (e.g., Coulomb counting, internal resistance) with artificial neural networks (ANNs) to enhance prediction accuracy

• The approach accounts for nonlinear aging and environmental factors, improving reliability in dynamic conditions

• Enabled better lifecycle management and maintenance decisions for energy storage systems in EV and grid applications

CERTIFICATIONS

Completed solar certification - NSDC

National Skill Development Council