VISHNU CHANDRAN

Electronics and Communication Engineering student possessing hands-on experience in VLSI design, embedded systems, and AI-driven drone automation. Proficient in RTL design, FPGA development, and circuit debugging, enhanced by internships in automotive EMC testing and radio broadcasting systems. Dedicated to utilizing technical expertise to drive innovative solutions in cloud computing, AI, and intelligent infrastructure.

• System Verilog for Verification, Edveon Technologies, 09/01/24, 01/31/25
• VLSI Digital Design - Verilog and Chip Design, 11/20/23
• VLSI Hardware Design Masterclass, Udemy
• System-on-Chip Design, Maven Silicon
• Cadence Student Ambassador Training, 03/08/24
• Microchip FPGA Series - Hello FPGA, PolarFire, SmartFusion 2, Security, 04/16/24

• AI-Based Disaster Management Drone
  Developed a drone system utilizing AI to support search-and-rescue missions during natural disasters.
  Real-time object detection for identifying victims, fires, and hazardous materials.
  Equipped with environmental sensors and live data transmission to emergency teams.
  Enabled autonomous flight paths over affected zones.
• AI-Based Inspection Drone
  Designed and deployed a drone for industrial inspection using AI image analysis.
  Identified structural damage, surface cracks, and wear in infrastructure.
  Automated inspection routines in hazardous or hard-to-reach environments.
  Improved safety and efficiency by minimizing human involvement.
• AI-Based Wildlife Encroachment Detection Drone
  Created a drone solution to detect wildlife intrusion in human-populated or protected areas.
  Used machine learning models to recognize animal types and alert authorities in real-time.
  Integrated GPS tracking and geo-fencing for monitoring protected zones.
  Aimed at reducing human-wildlife conflicts and enhancing conservation efforts.
• AI-Powered Surveillance Drone for Criminal Detection
  Developed for the Thoothukudi Police Hackathon, this drone uses AI for crowd surveillance and real-time criminal detection.
  Employed facial recognition and suspicious behavior analysis in crowded public areas.
  Designed to enhance public safety during large gatherings and events.
  Delivered alerts and live feeds to law enforcement control rooms for rapid response.

• 1st Place, TechnoQuiz
  Elektra -24 Technical Event, SRM College | April 17, 2025
• 2nd Place, Circuitrix Technical Event
  13th National Level Technical Symposium, SRM Valliammai College | October 14, 2023
• 3rd Place, Crypto Hunt
  Drestein 2023 National Level Symposium, Saveetha Engineering College | November 2, 2023
• 2nd Place, AeroDrone Innovate
  St. Joseph's College of Engineering, Club Activity | January 7, 2025
• Participant, Garuda Aerospace Hackathon
  Garuda Aerospace | June 7, 2024
• Participant, Hack AI-thon
  St. Joseph's College of Engineering | February 23, 2024 (24-hour hackathon)

Sex : Male

• Marital Status : Unmarried

• Natal day : 21-05-2004

• Nationality : Indian

• Blood group : B+

• Passport No : V5580963

• Permanent Address : 21-151/3, Sree Bhadra, KulathanKarai veedu, Chemparuthivillai & (PO)

Nagercoil, KK.Dist, Tamilnadu, India. Pin:629166.

• Languages known : English,Malayalam,Tamil,Hindi(R/W).

• Hobbies : Gardening, travelling, cooking, Watching cricket.