SANKESH SIVAKUMAR

Ambitious Electronics and Communication Engineering student with a primary interest in semiconductors, VLSI, and embedded systems, driven to explore chip design, FPGA development, and next-generation electronic technologies. Passionate about building hardware-oriented solutions, learning advanced semiconductor concepts, and applying practical engineering skills through research projects, internships, and real-world IoT and digital design applications. Resourceful team player with experience with common software applications and social media platforms. Well-versed in business organization and strategies for successfully modernizing workplaces. Skilled at project support with proven history of solutions-oriented problem-solving.

1) FPGA-Based Secure Digital Voting System :

• Developed an FPGA-based secure voting system from concept to implementation, engineering password authentication and tamper-resistant vote storage. 

• Verified functionality through exhaustive RTL simulation in ModelSim, achieving 100% test case coverage for all authentication modules. 

• Synthesized and deployed on Intel FPGA using Quartus, demonstrating real-time operation with 98.7% resource utilization efficiency. 

• Tools Used: Intel Quartus Prime, ModelSim

2) Atmosphere Monitoring System (Air Quality | Temperature/Humidity | Real-Time Alerts) :

• Designed a wireless sensor network using ESP32 MCU to monitor 

• Connected to Blynk IoT Cloud for: Real-time dashboards (customizable widgets) 

• Field Validation & Results 95% sensor accuracy vs. industrial benchmarks 

• Tools used: Hardware: ESP32 , Software: Blynk IoT

3) Smart Farming System with Weather Control (Soil Moisture | Temperature | Humidity | Automated Irrigation) :
▪ Designed an IoT-based smart farming system using sensors and ESP32 to monitor soil moisture, temperature, and humidity in real-time.
▪ Implemented automated weather-based control for irrigation and environmental conditions to optimize crop growth and water usage.
▪ Integrated cloud monitoring via IoT platform for live data visualization and remote control of farming parameters.
▪ Tools Used: ESP32, Sensors (Soil Moisture, DHT), Blynk IoT / Arduino IDE

4) Smart Solar Tracking System (Light Intensity | Real-Time Panel Alignment | Energy Optimization) :
▪ Designed an automated solar tracking system using sensors and microcontroller to maximize solar energy capture through dynamic panel alignment.
▪ Implemented real-time light intensity sensing to adjust panel orientation for optimal sunlight exposure and improved efficiency.
▪ Developed a hardware-controlled mechanism for precise angular movement and continuous energy optimization.
▪ Tools Used: Microcontroller (Arduino/ESP32), LDR Sensors, Servo Motor, Arduino IDE

5) Solar Power Forecasting Benchmark and Hardware-Aware Model Compression Simulator using GRU Network :

* Paper has been submitted to a journal and the peer review is in process