🎓 IIT Indore · M.Tech Electronics & Signal Processing

Prashant
Mishra

Hardware Engineer & ML Researcher
Building high-performance digital systems, VLSI circuits, and intelligent networks at the intersection of silicon and software.

⚡ CPU Architecture 🔬 VLSI Design 📡 Signal Processing 🤖 AI / ML 🌐 5G / RIC
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CGPA at IIT Indore
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GATE AIR Rank
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Specialist on Codeforces
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Major Projects
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IEEE Publication
About Me

Graduate researcher blending hardware design, signal processing, and machine learning.

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M.Tech — Electronics & Signal Processing

IIT Indore · Roll No. 2502102014

CGPA 8.8 / 10
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GATE 2025 — Electronics & Communication

All India Rank: 1297

Top Percentile

I'm a graduate student at IIT Indore majoring in Electronics, passionate about Digital Systems, CPU Architecture, VLSI Design and Signal Processing, building efficient and high-performance hardware systems. Skilled in AI Algorithms and ML models.

My thesis explores LLM-driven network slicing using the RAN Intelligent Controller (RIC), sitting at the fascinating boundary between AI and next-gen wireless infrastructure. I also hold an IEEE publication on zero-day attack detection.

Previously, I completed a research internship at IIT Kanpur under Prof. Abhilash Patel, working on neural modeling of genetic circuits using reinforcement learning and neural ODEs.

Featured Projects

Hardware, AI, and wireless systems — from silicon to software.

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LLM-Driven Network Slicing

M.Tech Thesis · IIT Indore

Intelligent RAN slicing using Large Language Models and xApps on the O-RAN RIC framework for autonomous 5G resource management.

O-RAN RIC LLM 5G NR
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Zero-Day Attack Detection

IEEE Publication

ML-based intrusion detection system for zero-day attacks in network traffic using ensemble classifiers and anomaly detection.

IEEE Paper ML Network Security
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Automatic Speech Recognition

Deep Learning · RNN / LSTM

End-to-end ASR pipeline using LSTM networks with beam search decoding, achieving low word-error rates on benchmark datasets.

LSTM Python PyTorch
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Technical Stack

From RTL design to ML inference pipelines.

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Hardware Design
Verilog / SystemVerilog VLSI Design RTL Synthesis RISC-V Icarus Verilog Yosys
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Signal Processing
DSP Algorithms 5G NR Physical Layer OFDM MIMO MATLAB GNU Radio
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AI / Machine Learning
PyTorch TensorFlow LLM APIs Reinforcement Learning Deep Learning scikit-learn
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Programming & Tools
C / C++ Python Git / GitHub Linux Docker Competitive Programming