Bengaluru, India · Greater Bengaluru Area · Class of 2027
I build hardware. Everything else I build around it. Electronics & Communication Engineering student at Ramaiah University of Applied Sciences, Bengaluru. Currently interning as an Embedded Hardware Intern at Mistral Solutions.
I build hardware. Everything else I build around it. I'm Sanketh — an Electronics & Communication Engineering student at Ramaiah University of Applied Sciences (RUAS), Bengaluru (graduating 2027).
My foundation is physical electronics: PCB design in KiCad, circuit debugging, and component selection. I design boards, get them fabricated, solder them, and debug them with a multimeter and oscilloscope until they work reliably.
On top of that hardware core, I use AI tools to build things I couldn't build alone — Android companion applications, web dashboards, ML computer vision pipelines, and firmware logic. I'm fully transparent about this: Claude, GitHub Copilot, and ChatGPT are part of my engineering workflow. I treat them like senior engineers I can consult anytime — but I'm the one who understands the circuits and physical hardware they are running on.
Key Highlights & Deployments:
• Mistral Solutions: Currently working as an Embedded Hardware Intern on production-grade product engineering.
• C-DOT (Centre for Development of Telematics, Govt of India): Deployed Real-ESRGAN super-resolution and YOLOv8 mango ripeness detection pipelines on Raspberry Pi 5 with Hailo-8 AI acceleration.
• DeskBuddy NEO & Custom PCBs: Custom 2-layer ESP32 boards designed in KiCad with battery power ICs, SPI displays, and published BLE Android companion apps.
• Industrial Jute Bag Detection: Computer vision system with YOLOv8 + ByteTrack running at 80%+ confidence on Raspberry Pi with live Flask dashboard.
B.Tech in Electronics and Communication Engineering (ECE)
M.S. Ramaiah University of Applied Sciences (RUAS)
Bengaluru, Karnataka, India · 2023 – 2027 (Expected)
Laboratory & Hardware Skills: Oscilloscope, Digital Multimeter, Function Generator, Physical Electronics Prototyping, PCB Bring-up
Mistral Solutions · Internship · Aug 2026 – Present · Bengaluru, Karnataka, India (On-site)
Contributing to embedded hardware engineering projects, circuit debugging, PCB bring-up, and hardware testing processes at one of India's premier product engineering and embedded solutions firms.
Self Employed · Feb 2023 – Present (3 yrs 8 mos) · Bengaluru, Karnataka, India (Hybrid)
• Designed and fabricated custom PCBs using KiCad, including schematic capture, component selection, manual soldering, and hardware bring-up.
• Engineered embedded firmware for ESP32, Arduino Uno/Nano, and Raspberry Pi platforms.
• AI-assisted software built alongside hardware:
– Android companion app (Kotlin) published on Google Play (API 29–35) with BLE GATT communication and real-time notification mirroring.
– Web interfaces and Flask dashboards for telemetry and hardware monitoring projects.
– YOLOv8 + ByteTrack computer vision pipeline on Raspberry Pi for industrial conveyor counting.
Centre for Development of Telematics (C-DOT) · Internship · Aug 2025 – Sep 2025 (2 mos) · India (On-site)
• Configured Raspberry Pi 5 hardware for edge AI deployments in a Government of India R&D environment: camera module integration, peripheral setup, and embedded Linux configuration.
• Deployed Real-ESRGAN image enhancement pipeline on constrained embedded hardware with no dedicated GPU.
• Built mango ripeness detection system (raw/ripe/overripe classification) with live camera feed and real-time web dashboard showing detection counts.
• Gained hands-on experience with production-grade embedded hardware constraints and hardware-software integration at scale.
Edge AI & Embedded Systems deployments at Centre for Development of Telematics (Government of India).
Deployed Real-ESRGAN super-resolution deep learning models on constrained embedded hardware (Raspberry Pi) with no dedicated GPU. Optimized inference pipeline using OpenCV and ONNX runtime to enhance low-resolution images 2× in real-time.
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Trained and deployed a custom YOLOv8 model for classifying mango ripeness stages (raw, ripe, overripe) directly on Raspberry Pi. Built a live camera feed integration with a real-time web dashboard displaying detection bounding boxes and automated object counts.
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Configured high-performance edge AI object detection on Raspberry Pi 5 accelerated by Hailo-8 AI HAT (YOLOv8 running at 38 TOPS, maintaining stable 30 FPS). Configured hardware camera pipeline and embedded Linux for low-latency production inference.
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Custom embedded electronics, proprietary PCB designs, and industrial computer vision solutions delivered for clients.
Engineered an industrial computer vision system using custom-trained YOLOv8 with ByteTrack object tracking running at 80%+ confidence on Raspberry Pi for automated conveyor counting. Includes a real-time Flask web dashboard, automated CSV logging, and SMTP email alerting.
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Designed a custom 2-layer PCB in KiCad featuring ESP32-WROOM, integrated battery power management IC (IP5306 / TP4056), voltage regulation, capacitive touch, ST7735 SPI display, and on-board ADC monitoring. Includes FreeRTOS C++ firmware and BLE Android companion app on Google Play.
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Developed an IoT-enabled smart hydration monitoring system integrating load cell weight measurement, liquid level sensing, and environmental temperature tracking. Transmits real-time intake telemetry over BLE / Wi-Fi with automated alerts to encourage healthy fluid consumption.
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Exploratory builds spanning embedded systems, assistive tech, IoT devices, discrete analog circuits, and custom PCBs.
Designed an autonomous companion robot that recognizes faces, responds with personalized audio and OLED expressions, and navigates using sensor fusion. Hardware includes ESP32-CAM, dual OLED eyes, servos, and a motor driver. Firmware implements face detection, voice command processing, and PID-controlled navigation.
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Built a real-time text-to-Braille converter that captures images, performs OCR, and drives a solenoid tactile display. Hardware includes a camera module, ESP32 for processing, and solenoid array with driver circuitry. Software pipeline uses Python/Tesseract for OCR on a laptop, Firebase for sync, and custom firmware for solenoid actuation.
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Designed and fabricated a two-layer PCB for an ESP32-powered quadcopter. Hardware incorporates ESP32-WROOM, MPU6050 IMU, TP4056 Li-ion charger, MOSFET H-bridge for motor control, and USB-C CH340 debugger. Firmware implements sensor fusion, complementary filtering, and closed-loop motor control.
Implemented an offline voice-activated home automation node using Arduino Uno and VC02 module. Hardware ties voice module outputs to relays (AC loads) and a servo (curtain mechanism). Firmware maps recognized voice hex codes to GPIO actions, with software debouncing. Achieved high command recognition accuracy without network reliance.
Watch YouTube Short
2 Photos + Video 🎥
Created a coin-cell powered BLE tracker that alerts users via buzzer and LED and shows location on a web map. Hardware: NRF51822, piezo buzzer, LED, and magnetometer. Firmware implements BLE advertising, connection handling, and GPIO control for alerts with long battery life.
Watch YouTube Short
4 Photos + Video 🎥
Developed an ESP32-CAM based face-recognition node that greets known users with custom audio. Hardware adds a DFPlayer Mini speaker and GPIO-driven relay. Firmware runs a Haar-cascade detector plus LBPH recognizer, streams MJPEG via a lightweight web server, and maps recognized IDs to audio files or output pins.
Watch YouTube Short
Video Demo 🎥
Engineered an automated medicine dispenser that alerts users and dispenses doses on schedule. Hardware uses Arduino Nano, DS3231 RTC for timekeeping, DFPlayer Mini for voice prompts, LCD for status, and a servo to rotate the pill wheel. Verified accurate dispensing over 2-week trial with zero missed doses.
Watch YouTube Short
2 Photos + Video 🎥
Built a wireless rover with ESP32-CAM delivering real-time video to a browser-based dashboard. Hardware pairs the camera with an L298N motor driver, two DC gear motors, and a Bluetooth joystick receiver. Firmware exposes an MJPEG stream, reads joystick commands via Bluetooth UART, and controls motor speed/direction.
Watch YouTube Short
2 Photos + Video 🎥
Designed a standalone PCB that turns AC/DC loads on at night and off at day using an LDR-driven switch. Hardware comprises an LDR, biasing resistors, NPN transistor driver, and electromechanical relay. Circuit provides hysteresis via positive feedback to avoid chattering. Tested with clean switching at 5 lux.
Watch YouTube Short
6 Photos + Video 🎥
Constructed a rotating LED POV display that prints text using a single LED line. Hardware: Arduino Nano, 8-LED strip, brushed DC motor with Hall-effect index sensor, and slip ring for power. Firmware uses timer-based interrupts to toggle LEDs at precise angles based on RPM feedback.
Watch YouTube Short
5 Photos + Video 🎥
Built completely with the help of AI. Created a web-based tool that turns natural-language prompts into ready-to-upload ESP32/Arduino binaries. Hardware linkage uses an OTG-USB-serial cable to UART bridge for flashing. Software stack: frontend collects prompt, AI outputs skeleton code, cloud GCC compiles for target board.
Designed and hand-soldered an analog sound-reactive LED circuit that pulses in sync with ambient audio input. Engineered using discrete transistors, filtering capacitors, microphone preamp stage, and high-brightness LEDs for real-time acoustic visualization without microcontrollers.
Watch YouTube Short
10 Photos + Video 🎥
Complete in-house rapid PCB fabrication workflow: schematic capture and 2-layer routing in KiCad, laser printing onto glossy transfer sheets, thermal toner transfer using controlled heat, ferric chloride (FeCl3) chemical etching, tin plating, and precision manual drilling.
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Arduino Uno, Arduino Nano, ESP32, ESP32-CAM, NRF51822, Raspberry Pi
C, C++, Python, Arduino Framework (Basics with AI assistance)
Bluetooth Low Energy (BLE), Wi-Fi, GPS, Serial Communication, RF Modules (HC05)
Arduino IDE, VS Code, Android Studio, GitHub, Cloudflare, Linux Basics
AI tools such as ChatGPT, Claude, and GitHub Copilot are used to assist with software development, debugging, documentation, learning, and research. Hardware design, integration, testing, troubleshooting, and project implementation are performed by me.
PCB Design, Schematic Capture, Prototype Development, Soldering, Hardware Bring-up, Circuit Debugging, KiCad, EasyEDA, Fusion 360
Computer Vision, OpenCV, Object Detection, Face Recognition, YOLOv8, Flask Dashboards, Firebase, Android App Development, IoT Telemetry, and Embedded Firmware Logic
Define project requirements, select appropriate components, and create basic schematics before beginning implementation.
Build circuits, write firmware, test functionality, and iterate based on results to ensure reliable operation.
Document the build process, create tutorials, and share results to help others learn from the experience.
Qualcomm Technologies, Inc. — Issued April 2026
Robocraze x Arduino — Issued May 2025
S Nijalingappa / Independent PU College — Issued Dec 2022
Qualcomm Technologies, Inc. — Issued April 2026
Follow the design process, implementation challenges, and testing results on YouTube.