Summary
Overview
Work History
Education
Skills
Projects
Timeline
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ROGITHAA CHANMUGAVEL

ROGITHAA CHANMUGAVEL

Puducherry

Summary

Protocol stack development Software Engineer with 3 years of experience in C/C++ programming, real-time system concepts, and system-level debugging. Strong hands-on exposure to 4G LTE and 5G NB-IoT technologies across L1 and L2, including MAC feature development and performance analysis. Familiar with 3GPP specifications and protocol stack architecture, with a solid foundation in uplink procedures and PHY-MAC interactions. Highly motivated to contribute to software development collaborating effectively with cross-functional teams to deliver robust, standards-compliant solutions.

Overview

4
4
years of professional experience

Work History

SW Development Engineer - Protocol Stack

MBIT WIRELESS
11.2023 - Current

L1 UL/DL Procedure Development (LTE Cat-1)

  • Implemented L1 UL/DL procedures for LTE Cat-1 devices with MAC-PHY, MAC-RRC, and MAC-PDCP integration using IPC mechanisms.
  • Focused on uplink modules including PRACH, PUCCH PUSCH, SPS, TTI Bundling, and Uplink Power Control in compliance with 3GPP standards.
  • Designed FSM-based control framework for interrupt handling and real-time task scheduling, achieving ~5 Mbps UL and ~10 Mbps DL per user while supporting 12,000+ concurrent users.

Reference Module (RM)Development

  • Developed frequency tracking, time tracking, and delay spread estimation algorithms, improving PHY synchronization accuracy by ~95%.
  • Contributed to overall PHY performance optimization, reducing channel estimation errors by ~20% in varying RF conditions.

L2 Layer Development – 5G NB-IoT

  • Developed L2 user-plane MAC, RLC, and PDCP functionalities for a 5G NB-IoT project, achieving 100% protocol feature coverage as per project scope
  • Implemented and validated procedures for PRACH, PUSCH, SPS, PHR, PDCCH, and PDSCH channels.

3GPP Standards & Protocol Knowledge

  • Strong working knowledge of 3GPP specifications (Release 10–15) across PHY, MAC, RLC, PDCP, and RRC layers and experienced in translating 3GPP requirements into implementation and validation.

L1 FPGA Validation & Field Testing

  • Performed lab validation and field testing (FT) for 4G LTE and 5G NB-IoT with BSNL, Jio, Airtel, and VI, achieving 100% end-to-end feature validation.
  • Analyzed protocol traces and field logs to debug issues, ensuring system stability and feature compliance.

Low-Power Framework & Recovery Design

  • Designed and implemented PHY Master Reset logic to gracefully reset RTL-PHY and recover from system-level failures.
  • Enhanced robustness and recovery during critical fault scenarios.

L1 Architecture & Real-Time Systems

  • Hands-on experience with L1 architecture, interrupt handling, real-time event scheduling, multi-core and multi-threading.
  • Skilled in timing-critical embedded system design and optimization.

Graduate Engineer Trainee

Mbit Wireless
02.2023 - 10.2023
  • Tracking modules implementation - SRA(Specification, Requirements and algorithm) designing for tracking modules including frequency tracking and delay spread estimation to enhance signal reliability. Designed and drafted algorithms for efficient frequency tracking and evaluated performance under varying channel conditions.
  • Performance analysis - Conducted performance analysis of Rate Matching (RM) algorithms, including testing and MATLAB-based visualization comparing performance of MBIT UE's with other competitor devices improving performance to 97%.
  • MATLAB simulation-Hands-on experience with MATLAB for algorithm simulation and Linux environments for system-level testing.

Calibration & Firmware Development Intern

Flowget Solutions Pvt Ltd
02.2022 - 05.2022
  • GSM Module Interface - Worked on interfacing GSM module with microcontroller, data collection from sensors and uploading it in Client Server Communication IoT platforms
  • 8051 microcontroller, ATmega328P and Communication Protocols - Real time monitoring of Water flow with 8051 microcontroller establishing communication with GSM module and communication protocols, helped in successful deployment of device across 25 places in Puducherry including schools and colleges to provide Water consumption report to Government

Education

B.Tech - Electronics And Communication Engineering

Pondicherry Engineering College
Puducherry
08.2023

Skills

  • Languages: C, C programming, Java, Javascript, HTML, CSS, Python, Embedded C, Embedded C, VLSI
  • Concepts: Data structures and Algorithms, Operating systems and OOPS
  • Tools: Visual Studio, SVN, Visual Studio Code, Xilinx, MATLAB, Keil u Vision, Proteus, Simulink, LTSpice, MySQL
  • Platforms: Linux, WIndows, Arduino, Rasperry
  • 4G/5G Communication: User Plane SW development, L2/L3 Protocol stack development, Data Structures and Algorithm, 4G LTE/NBIOT
  • Soft Skills: Leadership skills, Poem writing, Multi tasking, Public speaking

Projects

SEGMENTATION AND DETECTION OF SALIENT OBJECTS USING CNN

  • Designed an edge detection algorithm to segment and detect the edges of the salient objects from the given input image for the application of security and surveillance
  • HOG (Histogram of Oriented Gradients) is used to graphically represent the tonal distribution of the input image for feature extraction. Then, CNN is configured and trained with 50,000+ dataset and the performance is evaluated.
  • Salient image is given as the input to map the edges and to suppress the background and the resultant transformed image will be displayed. Finally, the salient object is detected from the given input image using CNN achieving 96% accurate saliency object


OBJECT DETECTION IN FPGA USING FRCNN

  • Proposed an Adaptive Block partition Decision(ABPD) methodology with FRCNN is presented for VLSI implementation of object detection
  • This project includes data controller, a gray-level generator, a sub-block difference module and an edge detector for object detection using FPGA
  • Video is given as an input and converted into frames, ABPD removes unwanted objects and perform motion and edge detection of intended object. Proposed solution worked efficiently with 95% accurate detection and edge tracking of moving object

Timeline

SW Development Engineer - Protocol Stack

MBIT WIRELESS
11.2023 - Current

Graduate Engineer Trainee

Mbit Wireless
02.2023 - 10.2023

Calibration & Firmware Development Intern

Flowget Solutions Pvt Ltd
02.2022 - 05.2022

B.Tech - Electronics And Communication Engineering

Pondicherry Engineering College
ROGITHAA CHANMUGAVEL