Wireless Systems & Signal Processing engineer working across RF communications, underwater acoustics, and DSP algorithm design — from MATLAB/Python simulation through hardware-validated prototypes.
Project Research Engineer, IIT Delhi (CARE) — designing and validating a full-stack underwater acoustic communication system in MATLAB, integrated with SONAR transducers and a DAQ unit for water-tank trials, recovering 92–95% of transmitted data through a heavily distorted acoustic channel.
- MSc Communications & Multimedia Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) — wireless communications, signal processing, 5G.
- B.Tech Electronics & Electrical Engineering, Vellore Institute of Technology (VIT), India.
- Previously: DSP working student at WS Audiology (Erlangen), IRS codebook design research internship, BLE scanner app for wireless environmental sensing (IIT Ropar AWaDH Fellowship).
| Project | What it does |
|---|---|
| irs-codebook-design | Near-field codebook design for Intelligent Reflecting Surfaces, extending a far-field linear phase-shift codebook and evaluating it under discrete PIN-diode phase quantization, phase error, and phase noise. Research internship, FAU Institute for Digital Communications. |
| rss-localization-5g-spectrum-sensing | RSS-based transmitter localization (MSE & LIvE methods) and radio environment map reconstruction via distributed spectrum sensing, extended to a 5G-NR-style OFDM waveform. Master's thesis, FAU Chair of Electrical Smart City Systems — localizes the transmitter to under 1 m with 9+ sensors. |
| image-video-compression-lab | From-scratch hybrid video codec — block DCT, quantization, motion estimation/compensation, Huffman coding — extended with half-pel motion estimation, rate-distortion-optimized coding decisions, and in-loop deblocking. Beats a JPEG baseline by 39.9% BD-rate. FAU Image and Video Compression Lab Course. |
| Project | What it does |
|---|---|
| blind-pulsed-emitter-detection | Detects, separates, and characterizes multiple pulsed radar emitters — carrier frequency, direction of arrival, PRI — from raw multi-channel IQ captures, with no prior knowledge of emitter count or timing. |
| Autoencoder-for-Signal-Processing-and-Data-Compression | PCA vs. autoencoder compression for IQ data streams, built at a Rohde & Schwarz-hosted hackathon (16:1 compression ratio, −18.55 dB EVM). |
| RADAR-Project | SISO OFDM radar processing chain recovering range and velocity of moving targets via subcarrier-domain matrix operations. |
Dhariwal, A. & V. Noor Mohammed, "Metamorphosis of 5G Wireless Mobile Communication – An Overview," Journal of Telecommunications and Radio Engineering, Aug 2019, Vol. 78, pp. 1567–1588.
Python (NumPy/SciPy), MATLAB, C++, TensorFlow/Keras, LabVIEW · RF & Wireless Protocols (3GPP, 802.11) · Signal Processing, Array Processing & Beamforming · Git/GitLab, Linux, TCP/IP