Available for Internships & Collaborations

Aayush
Mhaisgawali

I'm a

Third-year Electrical Engineering student passionate about bridging hardware and software — from bare-metal microcontrollers to full-stack web apps and intelligent ML systems.

⬇ Download Resume 💬 Let's Talk

9.05 CGPA / 10

3+ Internships

3+ Projects

EE • IoT • ML

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// 01 — About Me

Who I Am

A curious engineer who loves turning ideas into reality — from hardware circuits to cloud deployments.

Building at the intersection of hardware & software

I'm a third-year B.Tech Electrical Engineering student at JD College of Engineering and Management, Nagpur — maintaining a CGPA of 9.05/10.

My work spans from programming ESP32 microcontrollers for real‑time IoT systems to building full-stack web applications with React & Node.js. I've done research internships at VNIT Nagpur, co-authored a research paper on memristor-based rectifiers, and I'm currently developing ML-powered predictive maintenance systems for EV charging infrastructure.

I believe in building things that matter — efficient, scalable, and grounded in solid engineering principles.

📍 Location Nagpur, Maharashtra, India

📧 Email ayushmhaisgawali@gmail.com

📞 Phone +91 9765223639

🎓 College JD College of Engineering, Nagpur

🎓 9.05 CGPA / 10.00

🔬 2 Research Internships

🛠️ 3+ Projects Built

📄 1 Research Paper

// 02 — Skills

What I Work With

A diverse toolkit spanning embedded hardware, backend systems, and AI/ML pipelines.

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Embedded Systems & IoT

🔌 ESP32 🍓 Raspberry Pi 🤖 Arduino TCP/IP MQTT HTTP Edge Computing Real-Time Data Sensor Fusion

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Programming Languages

⚙️ C / C++ 🐍 Python 🌐 JavaScript 📘 TypeScript

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Frameworks & Databases

⚛️ React.js 🟢 Node.js 🌶️ Flask 🐘 PostgreSQL REST API

🛠️

Simulation & Tools

📊 MATLAB 🔬 Multisim 📐 LTspice 🔧 Git AI / ML TinyML

// 03 — Experience

Where I've Worked

Hands-on internships at one of India's premier NITs, working on real research and engineering problems.

Project Intern — Embedded ML & Predictive Maintenance

Visvesvaraya National Institute of Technology (VNIT), Nagpur

Dec 2025 – Apr 2025

Project Internship

Developing a low-cost acoustic sensor array with edge processing for predictive maintenance of industrial equipment.
Designing real-time anomaly detection algorithms to identify degradation signatures such as bearing wear and electrical faults.
Implementing lightweight TinyML models on ULP microcontrollers for on-device classification, reducing bandwidth and latency.

Research Intern — Power Electronics & Memristors

Visvesvaraya National Institute of Technology (VNIT), Nagpur

Jun 2025 – Jul 2025

Research Internship

Researched a memristor-based full-bridge rectifier with LLC converter, focusing on nonlinear behavior and performance analysis.
Developed mathematical models and performed MATLAB simulations to study and optimize system characteristics.
Co-authored a research paper based on this work — contributing original findings to the field of nonlinear power electronics.

Virtual Intern — Healthcare UX & Product Strategy

Accenture (Job Simulation)

Aug 2024

Virtual Internship

Completed a healthcare client simulation focused on mobile app improvement and UX strategy.
Analyzed client requirements and user data to support UX optimization and project prioritization decisions.

// 04 — Projects

What I've Built

Real-world engineering projects that blend hardware, software, and intelligence.

Ongoing

Acoustic & Thermal Anomaly Detection for EV Charging Station

Developing a non-invasive acoustic and thermal monitoring system for predictive maintenance of 2-Wheeler islanded EV charging infrastructure. Features real-time edge algorithms and lightweight ML models deployed directly on microcontrollers.

ESP32 TinyML Acoustic Sensors Edge Computing Python Anomaly Detection

Completed

E-Bike Safety Speed Control System

Designed a real-time speed regulation mechanism using sensor fusion and microcontroller-based control logic. Integrates speed and obstacle detection sensors to enable automated alerts and dynamic control actions that enhance rider safety.

Microcontroller Sensor Fusion C/C++ Real-Time Control Safety Systems

Completed

Task Scheduling AI Agent

Developed a Python-based intelligent task management agent for dynamic prioritization and automated scheduling. Integrated API-based intelligence to organize tasks based on contextual inputs with modular workflow logic for scalability.

Python AI / LLM API Task Scheduling Automation Workflow Logic

// 05 — Education

Academic Background

A strong academic foundation in electrical engineering with a consistent top-tier GPA.

B.Tech • EE

Bachelor of Technology in Electrical Engineering

🏛️ JD College of Engineering & Management, Nagpur

2023 – Present (3rd Year)

9.05 / 10.00 CGPA

HSC • PCM

Higher Secondary Certificate (PCM)

🏫 Ira International School, CBSE, Buttibori, Nagpur

2021 – 2023

74.4% Percentile

// 06 — Contact

Let's Connect

Whether it's a project, research collaboration, or just a chat — my inbox is always open.

Open to opportunities

I'm currently looking for internships, research collaborations, and exciting projects in embedded systems, IoT, and AI/ML. Feel free to reach out through any channel.

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ayushmhaisgawali@gmail.com