Summary
Overview
Work History
Education
Skills
Languages
Projects
Additional information
Personal Information
Education and Training
Timeline
Generic

THARUNSARWIN U G

CHENNAI

Summary

Electronics and Communication Engineering graduate with expertise in Wireless Communications and Digital Electronics. Proficient in circuit design, VLSI, MATLAB, signal processing, IoT, and microcontrollers. Committed to applying technical skills and academic background to solve real-world problems and data-driven decision-making. Focused on optimization and continuous learning in a dynamic professional environment.

Overview

1
1
year of professional experience

Work History

Industrial Trainee

DP world
Chennai
07.2024 - 08.2024
  • Acquired practical exposure to industrial communication systems and automation controls in port operations.
    Learned integration of sensors, PLCs, and wireless technologies for enhanced cargo handling and safety.
    Gained experience with electronic monitoring equipment to improve operational efficiency in logistics.

Research Intern

NIOT
Chennai
07.2023 - 08.2023
  • I participated in a hands-on observation of the Ocean Electronics department at NIOT.
  • Explored advanced technologies in ocean observation systems and coastal engineering.
  • Engaged in innovative research related to marine technology development.
  • Acquired valuable knowledge on the multidisciplinary aspects of oceanography.

Education

B.E - Electronics and Communications Engineering

Madras Institute of Technology, Anna University
05-2025

HSC -

Velammal Matriculation Hr Sec School
05-2021

SSLC -

Velammal Matriculation Hr Sec School
05-2019

Skills

  • Programming languages: MATLAB, Python
  • Microsoft Essentials
  • AutoCAD Electrical
  • RTL design: Verilog, VHDL
  • LTspice
  • Xilinx Vivado

Languages

Tamil
First Language
English
Proficient (C2)
C2
French
Upper Intermediate (B2)
B2

Projects

  • Hybrid beamforming for MU-MIMO in mmWave communication using CNN algorithm

Developed a hybrid beamforming strategy for MU-MIMO in mmWave communication systems, leveraging a convolutional neural network (CNN) to optimize spectral efficiency, and demonstrated the improved spectral efficiency compared to traditional fully digital and analog beamforming methods

  • Hybrid PAPR reduction and channel estimation in MIMO-GFDM

Developed a 2×2 MIMO-GFDM model integrating SLM and NIPS, achieving ~2.8 dB PAPR reduction and improved SER, enhancing spectral efficiency and power amplifier performance for 5G systems

Additional information

   CERTIFICATIONS

  • Microsoft Essential - Naan Mudhalvan
  • Digital marketing - Naan Mudhalvan
  • Analog IC design - Naan Mudhalvan

SOFT SKILLS

  • Communication
  • Teamwork and collaboration
  • Emotional intelligence
  • Cultural and professional etiquette
  • Networking skills

Personal Information

Education and Training

other,other,other

Timeline

Industrial Trainee

DP world
07.2024 - 08.2024

Research Intern

NIOT
07.2023 - 08.2023

B.E - Electronics and Communications Engineering

Madras Institute of Technology, Anna University

HSC -

Velammal Matriculation Hr Sec School

SSLC -

Velammal Matriculation Hr Sec School
THARUNSARWIN U G