Dhruv Miraskar
Bengaluru
Summary
Motivated second-year Electronics and Communication Engineering student with hands-on experience in embedded systems, IoT, and applied AI. Eager to contribute to real-world projects involving hardware-software integration, intelligent systems, and automation. Seeking internship opportunities to enhance technical skills, collaborate with professionals, and deliver impactful solutions in dynamic and innovation-driven environments.
Overview
1
1
Certification
Education
B.E. - Electronics and Communication Engineering
RV College of Engineering
BengaluruSkills
- Programming languages: Python
- Embedded platforms: Arduino and STM32
- Simulation and design tools: MATLAB and SolidWorks
- Sensor interfacing and hardware prototyping
Date of Birth
22/03/05
Websites
Certification
• 50+ Generative AI Tools to 10x Business, Productivity, Creativity – Udemy
• 3-in-1 Course: Design with Figma, Build with Webflow, Freelance – Udemy
• Azure AI Studio Masterclass (Gen AI, RAG, Prompt Flow Copilot) – Udemy
•Power Automate - Complete Guide to Microsoft Power Automate - Udemy
•FSM for Instruction Pipeline Hazard Control
Centre of Excellence (CoE) for Integrated Circuits and Systems, RV College of Engineering (RVCE)
• 3-in-1 Course: Design with Figma, Build with Webflow, Freelance – Udemy
• Azure AI Studio Masterclass (Gen AI, RAG, Prompt Flow Copilot) – Udemy
•Power Automate - Complete Guide to Microsoft Power Automate - Udemy
•FSM for Instruction Pipeline Hazard Control
Centre of Excellence (CoE) for Integrated Circuits and Systems, RV College of Engineering (RVCE)
Projects
1. Smart Health Monitoring System
Tools: Arduino Uno, Pulse Sensor, Temperature Sensor
- Designed a wearable prototype that monitors pulse and body temperature.
- Alerts the user upon detection of abnormal health readings.
2. Fingerprint and Alcohol Detection System in Vehicles
Tools: Arduino Uno, Fingerprint Sensor, MQ-3 Sensor
- Developed a vehicle safety system that verifies fingerprint authorization and checks driver sobriety.
- Prevents ignition if the fingerprint is unauthorized or alcohol is detected.
3. AlertLens: Real-Time Crime and Threat Detection System
Tools: ESP32, ESP32-CAM, INMP441, Arduino IDE, Edge Impulse, TinyML
- Built an AI-powered embedded system to detect gunshot-like sounds using TinyML models.
- Triggered real-time camera recording and stored short video clips on an SD card via ESP32-CAM.
- Designed for smart surveillance with real-time edge inference and minimal hardware cost.
Additional Strengths
- Strong interest in automotive electronics and user-interface design.
- Quick learner with a passion for bridging hardware and real-world applications.
- Effective time management and communication skills.
Work Experience
Schneider Electric — Bangalore
Customer Service Hub (CSH) Intern
Oct 2025 – Dec 2025
- Designed and implemented an automated SLA monitoring workflow using Power Automate to detect unanswered customer emails across 20+ agents and trigger alerts after 2 hours of inactivity.
- Integrated Outlook email scanning with Microsoft Teams notifications to provide real-time visibility for managers and the 24×7 monitoring team, enabling faster escalation and reduced customer response delays.
Timeline
B.E. - Electronics and Communication Engineering
RV College of Engineering