Nazeer Shaik

About

Electrical and Electronics Engineering student with hands-on project and internship experience in Embedded Systems, IoT, VLSI fundamentals, and automation. Interested in building practical, reliable engineering solutions using microcontrollers, sensors, and simulation/design tools.

Experience

• Smart Watch Design & Manufacturing Intern
  Radiant Appliances & Electronics Pvt. Ltd.
  Dec 2022 – Jun 2023

  Studied smart watch design and manufacturing including sensors, display, battery, and PCB integration; learned wearable-device architecture, sensor interfacing, power management, PCB assembly/testing, component selection, circuit design, and functional testing.

Education

• 2023 MB
  Diploma

  MBTS Polytechnic Government College

  Electrical and Electronics Engineering (EEE) · 2021 – 2023

  Electrical and Electronics Engineering (EEE) · 2021 – 2023
• 2020 AP
  High School

  AP Model School & Junior College

  2019 – 2020

  2019 – 2020
• 2024 VS
  B.Tech

  Vignan's Lara Institute of Technology and Science

  Electrical and Electronics Engineering (EEE) · 2024

  Electrical and Electronics Engineering (EEE)

Skills

Tools / apps / platforms

Projects

• Smart Agriculture & IoT Safety Awareness
  NodeMCU, Arduino, ThingSpeak, Firebase, Blynk

  Deployed a low-cost automated irrigation system using soil moisture, DHT11, and rain sensors for real-time monitoring, with automated pump control, cloud logging, and SMS alerts.

• Remaining Useful Life Predictor for EV Batteries
  Machine Learning, IoT

  Developed machine learning models including Random Forest, Gradient Boosting, and LSTM to forecast lithium-ion battery RUL from cyclical charge/discharge data and evaluated performance using RMSE/MAE.

• IoT-Based Real-Time Accident Detection & Alerting System
  ESP32, IoT, Optical Sensors

  Built a real-time accident detection system using sensors and a microcontroller to identify sudden impact and abnormal motion, with automatic alerts to emergency contacts to reduce response time.

• IoT-Based Anti-Sleep Alarm and Accident Detection
  IoT

  Developed an IoT-based safety system to detect driver drowsiness and potential accident conditions using sensors and a microcontroller, with alarm and accident detection mechanisms for real-time monitoring and safety-related data communication.

Courses & certifications

• MATLAB Learning Certificate
• AI/ML Certificate

🏆 Achievements & awards

• 15% cost reduction

  Optimized a 2D/3D agricultural plot layout in AutoCAD, cutting planting material costs by 15%.

• Emergency messaging pipeline within 5 seconds

  Built an emergency messaging pipeline delivering precise accident coordinates within 5 seconds of impact.

• High-precision detection

  Used multi-sensor fusion to detect crashes with a 3.2–5% false-positive rate.