1. Design, Simulation, and Fabrication of Active Microfluidic ChipProposed & Engineered an Active Microfluidic chip for Cell Selection with AI-assisted characterization capabilities, applicable across diverse fields such as Genetically Modified Organisms, immunotherapy, and In Vitro Fertilization (IVF).2. Market Survey Management for Project SpermotileOrchestrated a comprehensive market survey spanning 18 states in India, involving personal meetings and hands-on sessions at IVF centres and hospitals. The project aims to automate IVF procedures using Microscopy, Microfluidics, and Artificial Intelligence technologies.3. Microfabrication, Testing, and Operations ExpertiseConducted microfabrication, testing, and operational tasks utilizing CAD software such as Blender, COMSOL Multiphysics, Solidworks, and Unreal Engine 4. Collaborated with vendors and research institutes using agile methodology for the advancement of Project Spermotile.5. Supported various multidisciplinary research groups in technical and research implementation and technical documentation.

1. Initiated and Proposed Sensor Development:- Initiated and proposed the development of a low-cost, photo-patternable graphene/SU-8 nanocomposite based flexible piezoresistive strain sensor for localized biomechanical assessment.- Led the conceptualization and proposal of the sensor design, highlighting its potential applications in smart healthcare and human-machine interfaces.2. Project Contribution:- Played a key role in the entire development process of the sensor prototype, from design to fabrication.- Collaborated with a multidisciplinary team to ensure the sensor's performance met the desired specifications.3. Technical Expertise:- Utilized sophisticated equipment such as the Keithley 4200A-SCS Parameter Analyzer for characterizing the sensor's performance under various straining conditions.- Conducted experimental tests and data analysis to validate the sensor's functionality and reliability.3. Achievements and Impact:- The optimized 3% graphene/SU-8 nanocomposite used in the sensor demonstrated significant improvements in resistance changes (∆R/R%), response time, and bending range, enhancing its effectiveness in biomechanical sensing tasks.- The proposed sensor showcased potential applications in localized biomechanical assessment, expanding the possibilities in wearable technologies, AR-VR and healthcare interfaces.

As an Internship Coordinator, I had the privilege of helping over 300 students gain valuable opportunities and career guidance, shaping their professional journeys. It was immensely fulfilling to witness their growth and success.One of the highlights during my tenure was leading my college team to the finals of Smart India Hackathon 2022 with our innovative project, "Smart Knee Actuator." This project aimed to revolutionize assistive devices by making them active and adaptable to patients' needs, showcasing our team's dedication to innovation and problem-solving.I'm proud of the impact we made and the collaborative spirit that drove us to achieve excellence. Looking forward to continuing my journey of empowering students and driving innovation in the field.

1. Digital Twin Model Design and Optimization for EV Cooling SystemUtilized Blender & Unreal Engine to develop a Digital Twin Model for EV cooling systems. Integrated sensor data from electric vehicles and engine failure tests to train a Random Forest model for Total Remaining Usable Life (RUL) calculations.2. Development of Electric Motor & Gearbox Digital TwinDesigned and optimized a Digital Twin for electric motors & gearboxes using Blender & Unreal Engine. Created an interactive frontend environment for users to monitor and engage with the engine life cycle.3. Research & Development for Future 3D Holographic SystemLed the development of four proof of concepts for a future 3D Holographic System. Generated technical and engineering documentation to support the research efforts.4. Non-Destructive Testing using Ultrasound SensorsConducted Non-destructive testing using ultrasound sensors for all digital twin models, ensuring scientific accuracy and reliability.

1. Arduino-Based Fire Management Robot:Developed an Arduino-based fire management robot equipped with infrared sensors for fire detection, buzzers for alerting, and pumps for effective fire suppression. This project involved integrating hardware components seamlessly to create a robust and efficient system for managing fire incidents.2.FPGA-Based Traffic Management System:Designed and implemented an FPGA-based traffic management system utilizing IR sensors and a sophisticated Verilog algorithm. This system was engineered to handle complex and heavy traffic situations by intelligently managing traffic flow and optimizing signal timings.

A National Level Dance Battle .