A

Amaresh Kumar

CEO

Varanasi, Uttar Pradesh, India1 yr 5 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in designing end-to-end wireless communication systems.
  • Strong MATLAB/Simulink modeling and simulation skills.
  • Researcher in advanced wireless communication and machine learning applications.
Stackforce AI infers this person is a Telecommunications and Marine Technology specialist with expertise in signal processing and machine learning.

Contact

Skills

Core Skills

Wireless CommunicationSignal ProcessingDeep Learning

Other Skills

MATLABSimulinkDigital Modulation TechniquesForward Error CorrectionHDLAnsys STKTensorFlowMUSIC AlgorithmSensorsMusic AlgoBadmintonIntermediatesDigital Signal ProcessingFourier OpticsLanguage Skills

About

Communication Systems Engineer with an M.Tech in Signal Processing and Communication from IIT Jammu. Experienced in designing and simulating end-to-end wireless and satellite communication systems, including modem development, DVB-S2 implementation, synchronization, and channel coding. Strong background in MATLAB/Simulink–based system modeling, RF impairment analysis, and performance evaluation using BER and spectrum analysis. Research interests include advanced wireless communication, signal processing, and the application of machine learning techniques to communication systems.

Experience

1 yr 5 mos
Total Experience
8 mos
Average Tenure
11 mos
Current Experience

Paras anti-drone technologies private limited

2 roles

Communications System Engineer

Jul 2025Present · 11 mos · On-site

  • I worked on the development and analysis of satellite communication systems with an emphasis on end-to-end digital link design. The project involved modeling the complete communication chain, from baseband signal generation to reliable data recovery at the receiver.
  • I implemented transmitter and receiver modules using MATLAB and Simulink, incorporating standard digital modulation techniques and forward error correction to improve link reliability. To make the system realistic, I modeled practical RF impairments such as noise, frequency and timing offsets, and phase variations, and evaluated their impact on system performance.
  • A key part of the work was designing and validating synchronization and signal recovery algorithms that enable stable communication under low signal-to-noise conditions. System performance was analyzed using metrics like bit error rate, packet error rate, constellation diagrams, and spectrum analysis.
  • In addition, I carried out link-level performance evaluation to study power requirements and overall system robustness under practical operating conditions. This project helped me gain strong hands-on experience in translating communication theory into deployable, standards-oriented system models, while maintaining a clear separation from any proprietary or confidential information.
Signal ProcessingWireless Communication

Signal Processing Intern

Jan 2025Jun 2025 · 5 mos · On-site

  • Modem Design :
  • Designed a complete communication system modem for S-Band in MATLAB/Simulink, processing 114,493 audio samples through companding, quantization, source coding, line coding, and 4-QAM modulation; implemented inverse operations at the receiver and converted the model to HDL for FPGA-based real-time processing in satellite, radar, and wireless applications.
  • Performed link budget analysis using MATLAB's Satellite Link Budget Analyzer App and Ansys STK Software to evaluate signal strength, power requirements, and overall communication system performance under realistic satellite conditions.
MATLABWireless CommunicationSignal Processing

Indian institute of technology (iit) jammu

2 roles

NOMA-Based Coexistence of Near-Field and Far-Field Massive MIMO Communications

Aug 2024Feb 2025 · 6 mos

  • Streamlined SDMA networks with NOMA support through power allocation and spatial preconfiguration for both local and remote users.
  • Implemented Paper:- Improved NOMA ergodic rate in ISAC systems by analyzing and addressing spectrum efficiency and communication-sensing challenges.
  • Implemented Paper:- Investigated a cluster-based NOMA-ISAC system using S-C, C-C, Pareto Optimal, and FDSAC designs; derived closed-form and high-SNR expressions for sensing rate (SR) and communication rate (CR).
  • Research gap:- Extend the model by introducing an eavesdropper, analyzing and plotting secrecy rate. Also evaluated system robustness through outage probability and BER plots.

Develop Deep Learning Model to Design an Artificial Bandwidth Extension (ABE) System.

Jun 2024Aug 2024 · 2 mos

  • Transformed 44.1kHz audio to 32kHz and classified into 0-8kHz and 0-16kHz cutoff types.
  • Developed deep learning model to process and map audio samples using STFT and MFCC feature extraction.

Indian institute of technology jammu

Deep Learning-based direction of arrival estimation in underwater scenarios

Jan 2024Apr 2024 · 3 mos

  • Develop a system for underwater object detection and localization using a passive SONAR array with the MUSIC algorithm and an autoencoder-based deep learning approach in TensorFlow. Your Role:
  • Generated the dataset using the MUSIC algorithm in MATLAB.
MATLABDeep LearningSignal Processing

Feroze gandhi institute of engineering and technology

Smart Vehicle

Jan 2018Apr 2018 · 3 mos

  • Implemented obstacle, fire, intensity sensors to enhance driving safety and efficiency, creating a enjoyable driving experience. My Role:
  • Involve in selection process of the sensors, considering factors such as accuracy and compatibility with vehicle.
Sensors

Education

Indian Institute of Technology Jammu

M.Tech — Signal Processing and Communication (SPCom)

Jan 2023Jan 2025

Feroze Gandhi Institute of Engineering and Technology

B.Tech — Electronics and Communication Engineering (ECE)

Jan 2014Jan 2018

Sanatan Dharm Inter College Varanasi

intermediate — Mathematics

Jan 2010Jan 2012

B T S H S rathyatra varanasi

High School

Jan 2010Present

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