3RD YEAR ECE · RVCE BENGALURU · OPEN TO OPPORTUNITIES
NIKHIL A E
ELECTRONICS & COMMUNICATION EMBEDDED SYSTEMS COMPUTER VISION VLSI

I build things at the intersection of hardware and intelligence — from radar-based fall detectors and VLSI Time-to-Digital Converters to edge AI wearables and autonomous robots. If it involves a microcontroller, a sensor, or a neural net, I want to understand the full stack.

9+ PROJECTS BUILT
1ST NATIONAL · ARDUINO
TOP 20 SILABS IOT 2026
4TH EYRC · IIT BOMBAY
01 — ABOUT
I AM A

I'm a 3rd-year ECE student at R V College of Engineering, Bengaluru, driven by a relentless need to understand how things work from the transistor up. Whether it's a self-balancing agricultural robot, a radar-based fall detection system, or a 1.5ps-resolution TDC designed in Cadence Virtuoso — I want to own the full stack.

My work spans embedded firmware (Arduino, ESP32, STM32, Raspberry Pi), computer vision (OpenCV, MediaPipe, YOLOv8), VLSI design (Cadence, Vivado, SystemVerilog), and cross-platform apps (Flutter/Dart). I've competed nationally at IIT Bombay, BITS Pilani, and in international IoT challenges.

Outside of engineering, I'm Digital Head of Cubex Club at RVCE and a digital artist and 2D animator — I care just as much about how things look as how they work.

EMBEDDED SYSTEMS
COMPUTER VISION
VLSI / EDA
ML / EDGE AI
HIRE ME →
LANGUAGES
CC++ PYTHONVERILOG SYSTEMVERILOGDART MATLAB
EMBEDDED
ARDUINOESP32 STM32RASPBERRY PI LORA SXNRF24L01 BLE
CV & ML
OPENCVMEDIAPIPE YOLOV8PYTORCH TENSORFLOWEDGE IMPULSE
HARDWARE & EDA
CADENCE VIRTUOSOVIVADO ALTIUMPCB DESIGN SOLIDWORKSFLUTTER
02 — PROJECTS

THINGS I'VE BUILT

001 TOP 20 · SILABS IOT 2026
SLEEPGUARD AI
Edge AI wearable for sleep apnea and cardiac arrhythmia detection. Built with Silicon Labs EFR32xG26 and BGM220 modules on a Raspberry Pi 4B backend. ML models trained and deployed on-device via Edge Impulse. Advanced to top 20 in Silicon Labs IoT Challenge 2026 as Team Vector Vanguard (with Sujan S & Poornachandra B R).
EFR32xG26 BGM220 EDGE IMPULSE BLE RASPBERRY PI 4B ECG SENSING
002 🏅 4TH · EYRC IIT BOMBAY
KRISHI-BALANCER
Self-balancing agricultural robot with PID control and a from-scratch complementary filter on MPU6050 for stable real-time angle estimation. 4th place nationally at eYRC, IIT Bombay. Flutter Bluetooth controller app built alongside, resolving an HC-05 BLE incompatibility.
PID MPU6050 FLUTTER HC-05 ARDUINO
003
MMWAVE HUMAN FALL DETECTION
Real-time fall detection pipeline using dual IWR6843AOP mmWave radar sensors. Captures 3D point clouds, processes motion features on Raspberry Pi, and classifies fall events with a live PyQt5 dashboard. Combining hardware sensor fusion with ML-based classification for high-specificity fall detection.
IWR6843AOP MMWAVE RADAR POINT CLOUD RASPBERRY PI PYQT5
004
MULTIPATH GRO-BASED TDC
High-resolution Time-to-Digital Converter designed in Cadence Virtuoso at 45nm, achieving ~1.5ps resolution via phase interpolation across multiple Gated Ring Oscillator paths. Validated through ADEL simulation with DNL/INL analysis.
CADENCE VIRTUOSO 45NM CMOS GRO ADEL SIM VLSI
005
V2V COMMUNICATION SYSTEM
Voice-controlled vehicle-to-vehicle system using Raspberry Pi 5 and Arduino R4 over LoRa SX for long-range transmission. Flutter app with VOSK offline speech recognition, custom NLP classifier, and real-time YOLOv8 vehicle detection streamed via HTTP.
LORA SX FLUTTER VOSK YOLOV8 RPI 5
006
GESTURE-CONTROLLED PICK-AND-PLACE
3D-printed robot controlled via MediaPipe hand gesture recognition (21 landmarks). Commands relayed wirelessly over NRF24L01 to Arduino for motor and servo control. Custom gesture retraining for edge-case misclassifications across varied lighting.
MEDIAPIPE NRF24L01 3D PRINT ARDUINO SERVO
007
PNEUMONIA DETECTION FROM X-RAYS
DenseNet121 trained on 6,000+ NIH chest X-rays achieving 92% accuracy. Applied augmentation, batch normalisation, dropout, and early stopping to mitigate overfitting on an imbalanced medical dataset.
DENSENET121 PYTORCH NIH DATASET MEDICAL AI
008
TEAM ANTARIKSH — AVIONICS SUB-SYSTEM
Contributed to sensor integration, telemetry, and real-time flight data acquisition for India's first student-built rocket targeting 1 km altitude.
TELEMETRY SENSOR FUSION AVIONICS RVCE ROCKETRY
009
OBJECT TRACKING ON EDGE HARDWARE
Benchmarked CSRT, KCF, and Meanshift trackers on Raspberry Pi 5 across FPS, accuracy, and CPU utilisation. Identified KCF as optimal for resource-constrained embedded vision systems.
CSRT KCF MEANSHIFT RASPBERRY PI 5 OPENCV
03 — ACHIEVEMENTS

WINS & RECOGNITION

1ST
PROJECTATHON — ROBOCRAZE × ARDUINO NATIONAL COMPETITION
NATIONAL LEVEL · INDIA
NATIONAL
4TH
E-YANTRA ROBOTICS COMPETITION (EYRC) — KRISHI-BALANCER
IIT BOMBAY · NATIONAL LEVEL
NATIONAL
2ND
BITS AUT'OWN COMPETITION
BITS PILANI HYDERABAD CAMPUS · NATIONAL LEVEL
NATIONAL
TOP 20
SILICON LABS IOT CHALLENGE 2026 — SLEEPGUARD AI
INTERNATIONAL · TEAM VECTOR VANGUARD (SUJAN S & POORNACHANDRA B R)
INTERNATIONAL
TOP PERF.
TOP PERFORMER — SOLIDWORKS ASSEMBLY WIZ
R V COLLEGE OF ENGINEERING, BENGALURU
RVCE
04 — OPEN SOURCE

ON GITHUB

ALL REPOSITORIES ↗
05 — CONTACT

LET'S BUILD SOMETHING

I'm open to research collaborations, internships, interesting projects, and conversations about embedded systems, edge AI, or VLSI. Based in Bengaluru — drop a line and I'll respond fast.

GOT A PROBLEM
THAT NEEDS
HARDWARE + CODE?

Whether you're building a product, need a research collaborator, or just want to talk embedded systems — I'm your person.

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