M.Tech Electrical Engineering | Wireless Communication & Signal Processing
Indian Institute of Technology, Ropar | 5G Receiver Design & MATLAB/C++
I am a Master of Technology student at IIT Ropar, specializing in Signal Processing and Communication, with current work centered on wireless systems, receiver design, and simulation-driven analysis for communication problems.
My master's thesis focuses on 5G uplink NOMA receiver design, where I study successive interference cancellation, BER behavior in Rayleigh fading channels, and data-driven detection strategies for concurrent transmission. Through projects in adaptive filtering, echo cancellation, and signal analysis, I am building a strong foundation in DSP, detection & estimation, and algorithm evaluation.
I prototype and evaluate ideas using MATLAB, Python, C++, and Linux, and I use Telecom Demystified to deepen and communicate my understanding of OFDM, NOMA, 3G/4G/5G, IoT, and related wireless topics. I am especially interested in roles involving PHY/MAC thinking, modem algorithm design, and performance characterization for next-generation radio systems.
Specialization in Communication and Signal Processing
Majors in Power System
Remote
Dharan, Nepal
Feb 2026 - Present
A technical blog website simplifying telecommunications and wireless communication concepts. It covers 3G/4G/5G, NOMA, OFDM, IoT, and signal processing topics for students and early-career engineers.
Visit Website →July 2025 - May 2026
Designing a NOMA (Non-Orthogonal Multiple Access) receiver for 5G uplink systems using Successive Interference Cancellation (SIC). Evaluating BER performance in Rayleigh fading channels while studying data-driven detection strategies for concurrent transmission.
July 2024 - Dec 2024
Developed a surveillance system using Python & OpenCV to detect motion and track objects in real-time video feeds. Implemented Canny Edge Detection and frame differencing algorithms to identify intruders in dynamic environments.
July 2024 - Dec 2024
Analyzed audio datasets using Librosa & SciPy; generated Spectrograms and MFCCs for feature extraction. Applied Fourier Analysis (FFT) for frequency domain inspection, relevant for RNN/Sequence Model inputs.
Jan 2025 - May 2025
Implemented NLMS Adaptive Filters in MATLAB to remove echo artifacts from audio signals, enhancing signal clarity. Applied detection and estimation theory for optimal filter performance.
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I'm always open to discussing research opportunities, collaborations, or just having a chat about technology and innovation.