🚀 Excited to share a milestone in my professional journey! 🚀I recently received my internship experience letter for an enriching project titled "ESP32-based Low Battery Alarm System with Relay Control". This hands-on experience has been instrumental in shaping my skills in electronics design and embedded systems development. Here’s a brief overview of my contributions:🔧 Project Overview: • Title: ESP32-based Low Battery Alarm System with Relay Control • Objective: Designed and implemented a low battery alarm system utilizing two ESP32 microcontrollers for monitoring battery voltage and triggering a relay based on user-defined thresholds.🔧 Key Responsibilities: • Hardware Design: Selected components, developed schematics, and designed circuit layout for optimal performance. • Firmware Development: Programmed firmware for both ESP32 boards to read battery voltage, compare it with predefined thresholds, and communicate wirelessly via ESP-NOW protocol. • High-Speed Triggering Mechanisms: Ensured accurate voltage readings even during deep sleep mode. • Collaborative Testing and Debugging: Worked with the team to ensure system functionality and accuracy.This project provided invaluable hands-on experience in electronics design, microcontroller programming, ESP communication protocols, and IOT, embedded systems development. I am incredibly grateful for the opportunity to learn and grow through this experience.A special thank you to Abhijith Bhat, CEO of Manleo Designs, for this incredible opportunity and support. Huge thanks to G. Shiva Pratheek, Engineer at Manleo Designs, for his mentorship and guidance. And a big shoutout to my team member, Farhan Khan, for his collaboration and support throughout the project!#Internship #ElectronicsDesign #EmbeddedSystems #ESP32 #WiFiCommunication #MicrocontrollerProgramming #HardwareDesign #FirmwareDevelopment #TechExperience #ManleoDesigns #IOT #Arduino IDE🙌

🌱 Excited to share my internship experience with the Arduino Nano 33 BLE Sense, where I spearheaded the capture and analysis of crucial bioreactor parameters. 🚀 Utilizing C++ code, I meticulously tested all onboard sensors, including temperature, pressure, accelerometer, color changes, and movements. 💡 Furthermore, I led the development of a groundbreaking gesture recognizer using accelerometer and gyroscope data, trained on a neural network, and successfully tested for two key gestures - punch and flex. 🤖 This innovative technology holds immense potential for integration with AI algorithms, paving the way for real-time monitoring, predictive analysis, and anomaly detection in bioprocess parameters. 📈 Excited about the possibilities this brings in optimizing yield, efficiency, and product quality in bioprocessing.

Work on project to come up with innovative projects idea's.I use to suggest topics regrading final year projects to the students.Manage intake and suspension of students in AICTE Innovation Cell.

As a Sessional Lecturer from 2021 to 2023, I taught the subject of 3D Printing. In this role, I developed tests and materials aimed at assessing and promoting student learning objectives. Through engaging lectures and hands-on activities, I facilitated the exploration of 3D printing technologies, covering topics such as principles of additive manufacturing, design considerations, materials selection, and practical applications. My focus was on creating a dynamic learning environment that encouraged students to explore and innovate within the field of 3D printing while ensuring their comprehension and mastery of key concepts.