Rushikesh D

ECE student with a passion for building from the ground up—be it analog circuits on an oscilloscope, microcontroller games, or intelligent systems that learn from data. I love combining hardware and software to engineer smart, real-time solutions.

  • ECE @ Amrita
  • Samsung PRISM · NTN
  • IEEE VLSI SATA 2026
  • Exoplanet RL Research

Building Intelligent SystemsFrom Embedded HardwareTo Learning-Based Decision Systems

ECE student building firmware, analog circuits, and ML pipelines — integrated as complete systems, not isolated demos.

Hardware constraints, firmware logic, and learned models — engineered as one stack.

I'm an Electronics and Communication Engineering student at Amrita Vishwa Vidyapeetham, passionate about creating systems that seamlessly bridge hardware and software. My work focuses on embedded systems, analog electronics, and intelligent real-time applications.

Rather than showcasing every project, I curate a portfolio of work that demonstrates clear thinking, solid engineering, and measurable impact. Each project tells a story about problem-solving and technical excellence.

Problem Framing

Define constraints, interfaces, and failure modes before selecting hardware or writing firmware. The system spec drives every design decision.

Technical Design

Integrate embedded firmware, analog front-ends, and software stacks into architectures where each layer has defined I/O and timing guarantees.

Delivery

Prototype on target hardware, measure against requirements, and document what was built — schematics, traces, and code paths included.

Purpose

Solve real constraints

Build systems that deliver value

Process

Prototype fast, then refine

Test hardware and software together

Impact

Not every experiment is featured

Selected work that shows clear thinking

Built SystemsBy Technical Domain

Flagship TARA hardware ADAS plus featured work across embedded, analog, ML, and application-layer engineering.

TARA – Tracking Adaptive Road Autonomous Car

TARA – Tracking Adaptive Road Autonomous Car

Real hardware ADAS prototype on Raspberry Pi 4B + ESP32. Edge perception with TFLite — lane keeping, traffic signs, potholes, ACC, and traffic lights. No cloud, no GPU.

Edge ADAS perception — LDW, LKA, TSR (MobileNetV2 INT8), pothole detection, ACC, and TLR run on Raspberry Pi 4B with sub-20 ms latency per module.

Raspberry Pi
ESP32
OpenCV
TFLite
ADAS
Repository
H.A.W.K – Through-Wall Life Detection Radar
Communications & RF

May 2026

H.A.W.K – Through-Wall Life Detection Radar

FreeRTOS-powered ESP32 system for non-line-of-sight human detection via microwave Doppler radar — extracts breathing and heartbeat through walls with a tactical WebSocket dashboard.

ESP32
FreeRTOS
FFT
+2
AnniHeal – Wound Infection Risk Monitor
Embedded & IoT

Feb 2026

AnniHeal – Wound Infection Risk Monitor

AI-enabled IoT wearable patch estimating wound infection risk via multi-sensor fusion (temperature, VOC, moisture) and RandomForest regression with a live Flask dashboard.

ESP32
Flask
scikit-learn
+2
JINX – Joint Inverse N-dimensional eXplorer
App Development

May 2026

JINX – Joint Inverse N-dimensional eXplorer

Browser-based real-time 3D robotics kinematics simulator — closed-form and DLS inverse kinematics, Jacobian singularity detection, and trajectory planning for RRR, SCARA, and 6-DOF arms.

JavaScript
Three.js
Robotics
+2
Tic-Tac-Toe Using LPC2138
Embedded & IoT

Apr 2025

Tic-Tac-Toe Using LPC2138

Developed a classic Tic-Tac-Toe game on the LPC2138 microcontroller, utilizing a 7-segment display and button inputs for user interaction.

Embedded C
ARM7
LPC2138
+1
Dino Game Using LPC2138
Embedded & IoT

Apr 2025

Dino Game Using LPC2138

Implements a side-scrolling Dino Jump game on the LPC2138 ARM7 microcontroller with a 16×2 LCD, jump controls, scoring, and obstacle collision logic.

Embedded C
ARM7
LPC2138
+1
Music Recommendation System
Machine Learning

Mar 2025 – Apr 2025

Music Recommendation System

Music Recommendation System Based on Acoustic Features using a Convolutional Neural Network for audio feature extraction and similarity matching.

Python
CNN
Music
+1

Full archive with filters

Explore All Projects

Applied Research& Technical Work

Samsung PRISM NTN collaboration, exoplanet scheduling research, and peer-reviewed VLSI design work.

Details
Samsung PRISM — NTN Systems
Samsung
Amrita Vishwa Vidyapeetham
Industry Research

Samsung PRISM — NTN Systems

2024 – Present

Research on embedded AI and non-terrestrial network (NTN) systems — signal topology, orbital node modelling, and firmware-level integration for satellite-ground communication stacks.

NTNEmbedded AISignal Systems
Details
Autonomous Exoplanet Observation Scheduling & AI Target Prioritization
NASA
GitHub
Open Research

Autonomous Exoplanet Observation Scheduling & AI Target Prioritization

2025 – 2026

Two-stage active exploration framework for telescope target prioritization under uncertainty — ensemble ML on 5,500+ exoplanets, adaptive scheduling at 99.87% of oracle reference. Integrates an AI-driven habitability prediction pipeline, Pareto frontier analysis, and an interactive Three.js + Plotly + Streamlit dashboard for exoplanet survey planning.

LightGBMActive LearningThree.jsStreamlitPythonJupyterAstronomy
Details
A Low-Power Delay-Optimized High-Speed Dynamic Comparator with Temperature Compensation
IEEE VLSI SATA 2026 — IEEE CAS, Bangalore Section, VTS, CEDA, Amrita
Conference Paper

A Low-Power Delay-Optimized High-Speed Dynamic Comparator with Temperature Compensation

Jun 12 – 13, 2026

Published at the 2026 IEEE 6th International Conference on VLSI Systems, Architecture, Technology and Applications (VLSI SATA). Presents a low-power, temperature-compensated high-speed dynamic comparator for ADC applications. Designed and simulated using 45 nm CMOS technology in Cadence Virtuoso, the proposed architecture integrates a cascode cross-coupled preamplifier with a temperature-stable latch, achieving 56.22% lower power consumption while improving delay stability under temperature variations. Well suited for low-power SAR and Flash ADCs used in wireless communication, edge computing, and sensor systems.

Dynamic ComparatorCMOSVLSITemperature Compensation45nmCadence VirtuosoSAR ADC

TechnicalDomains

Expertise organized by engineering discipline — not a resume checklist.

Embedded Systems

Bare-metal firmware, microcontrollers, and real-time hardware–software integration.

Embedded Systems (ARM7, LPC2138)ARM MicrocontrollersRaspberry PiArduinoAnalog & Digital Circuit DesignInternet of Things (IoT)Control Systems & Signal Processing

Machine Learning

Intelligent systems that learn from data and deploy into real applications.

Machine Learning (Python ML stack)PythonStreamlitMATLAB

Satellite Communications

NTN-inspired network thinking — orbital links, ground nodes, and signal topology.

Signal ProcessingControl Systems & Signal ProcessingInternet of Things (IoT)

Simulation & Research

Modeling, circuit simulation, and rigorous validation before deployment.

Proteus Design SuiteNI MultisimLTSpiceMATLAB

Programming

Languages and frameworks for systems, apps, and research tooling.

PythonC / C++JavaFlutter (Dart)ReactNode.jsLinux / BashGit & GitHubVS Code

Education &Experience

From Signals to Synapses — internships, firmware work, and ECE at Amrita Vishwa Vidyapeetham, Bengaluru.

Jul 2022 – May 2027
Education

B.Tech in Electronics & Communication Engineering

Bengaluru, India

CGPA 8.43 / 10.0 — focus on embedded systems, analog/digital design, IoT pipelines, and ADAS perception. Active in technical fests, robotics, and project expos.

  • Hands-on bench debugging with oscilloscope and logic analyser across ARM7, ESP32, and Raspberry Pi platforms
Jun 2025 – Jan 2026
Experience

Embedded Systems Engineer Intern

Remote

Embedded Systems Development Intern working on embedded systems, IoT, AI-driven edge applications and wireless communication simulations. Contributed to the design, simulation, and implementation of real-time embedded and intelligent systems including IoT resource allocation frameworks, AI-based fault detection, smart energy monitoring, and secure IoT communication architectures.

  • Worked with ESP32, FreeRTOS, Python, MATLAB/Simulink, 5G technologies, and embedded C/C++ across IoT and edge AI projects
  • Assisted in system modeling, simulation analysis, documentation, and research-oriented technical implementations
  • Collaborated remotely within project deadlines on embedded and intelligent systems deliverables
Jun 2026 – Jul 2026
Experience

Embedded Systems Intern

Bengaluru, Karnataka, India · Remote

Completed a 4-week intensive internship in Embedded Systems covering microcontroller programming, embedded C, and hardware interfacing. Designed and developed a Real-Time Electric Vehicle Dashboard & ADAS Warning System.

  • Implemented real-time sensor interfacing and warning mechanisms for driver assistance applications
  • Strengthened practical knowledge of embedded programming, debugging, and system integration through hands-on project development
  • Successfully completed the internship demonstrating practical implementation skills in embedded system design
Mar 2026 – Present
Experience

IoT Engineer Intern

Bengaluru, India

Architecting dual-dashboard MQTT telemetry on ESP32 with FreeRTOS for medical and facility management teams.

  • Reduced patient risk response time by ~40% via segregated vitals and environmental data pipelines on Adafruit IO
  • Implemented offline detection with OLED + buzzer fallback for Wi-Fi or MQTT broker failure
  • Engineered bidirectional MQTT controls for servo bed elevation, remote dosage tuning, and dynamic sampling rates

Swipe to explore →

Let'sCreate Together

Whether you have a project in mind, want to collaborate, or just want to discuss ideas — I'd love to hear from you.

Let's Connect

I'm always interested in hearing about new projects and opportunities, especially those that involve innovative hardware and software solutions.

Location

Bengaluru, India