Bandari Govardhan (Gova)

B.Tech ECE undergraduate · Edge AI, FPGA, Embedded Systems

Medak, India

@bandari_govardhan

LinkedIn GitHub

0 followers

🎓 B.Tech Electronics & Communication Engineering at B V Raju Institute of Technology · Graduating 2027

About

ECE undergraduate with hands-on experience building and deploying embedded, FPGA/SoC, and Edge AI systems on real hardware. Familiar with Xilinx platforms, embedded Linux, quantization, and RTL/HDL workflows across projects in computer vision, signal processing, and TinyML.

Education

B.Tech

B V Raju Institute of Technology

Electronics and Communication Engineering (ECE) · 2024 – 2027
Diploma

Government Polytechnic, Hyderabad

Electronics and Communication Engineering (ECE) · 2021 – 2024

Skills

<3 months

C Yolo FPGA ONNX OpenCV Vivado PyTorch Verilog Edge AI TensorFlow RTL Design Quantization SystemVerilog Computer Vision Embedded Systems Signal Processing • SOC Fundamentals

Tools / apps / platforms

<3 months

Git Linux Arduino UNO Jupyter Notebook

Languages

Native / Bilingual

Telugu Speak

Fluent

Hindi Speak

Conversational

English Speak

Projects

Military Pick-and-Place Robot

Arduino UNO, HC-05, L293D

Diploma final-year project controlled via Android app sending ASCII commands for motion, arm and soft gripper.
Digital Thermostat

Verilog, VHDL, Vivado

FSM-based RTL project with setpoint, hysteresis and output drive.
Touchless Media Control

OpenCV, Deep Learning, NVIDIA Jetson Nano

Real-time hand-gesture media control on Jetson Nano.
Edge AI Seismic Processing (EASP)

CNN, ZedBoard FPGA, Verilog, Vivado

Hardware-accelerated CNN for real-time seismic intrusion detection on Xilinx ZedBoard; RTL and inference validated in Vivado.
Driver Monitoring System

CNN, Kria KV260 / PYNQ, Computer Vision

Compact CNN for attentive vs distracted driver state with real-time embedded inference.
AI-Based Cashew Defect Detection

YOLOv4, Vitis AI, Kria KV260

Trained a Good/Bad cashew detector with live boxes, then quantized and compiled it with Vitis AI for hardware inference on Kria KV260.
SUBVOX — Silent Speech Communication Device

TinyML, VEGA ARIES / THEJAS32, Signal Processing, C/C++, TFLite

Wearable throat-vibration interface classifying silently articulated emergency words. Used a 9-feature pipeline into a 9→16→8→5 MLP with INT8 TFLite weights embedded for offline inference on VEGA ARIES / THEJAS32.

Courses & certifications

VSD Physical Design Flow · Udemy / Kunal Ghosh · 2026
eChipHub 2026 — ChipCraft RTL / IP / SoC Signoff · NIELIT × MeitY · 2026
Embedded Industrial Training · Industech Solutions, Hyderabad · 2023

🏆 Achievements & awards

Consolation Prize — EMBRIX’26 VEGATHON 2026 (Hardware Innovation) · 2026

SUBVOX silent-speech wearable on VEGA ARIES / THEJAS32.
Top 25 Finalist — ARM Bharath AI-SoC Student Challenge

Selected for Touchless Media Control on NVIDIA Jetson Nano.
Top 12 Finalist — Pan-India FPGA Hackathon 2026 · 2026

Edge AI seismic detection on ZedBoard FPGA, BITS Pilani Hyderabad.
Successfully deployed YOLO-based Edge AI models on Xilinx Kria KV260

Using the Vitis AI deployment flow.

Explore the Broxer community

💬 Q&A Ask about roles, salaries and interviews — and help others. 👥 Circles Join discussions on skills, companies and industries. 📰 Feed Follow updates and insights from the community.