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VR

Varsha R

AI & Machine Learning Engineer

@varshar1

0 followers

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About

B.E. (Hons) Electronics & Communication Engineering graduate with hands-on experience in embedded AI, computer vision, and ML model optimisation on edge hardware. Built a sensor-driven Digital Twin with predictive risk classification and a Flask/MySQL data pipeline, and is seeking to apply machine learning and data skills to real-world AI problems.

Experience

  • Embedded AI & Robotics
    Pantech Solutions

    Developed AI-driven robotics software modules on Raspberry Pi with real-time sensor integration and object detection pipelines. Optimised ML model inference performance for embedded AI applications on resource-constrained hardware.

Education

  • B.E. (Hons) Electronics & Communication Engineering
    NPR College of Engineering & Technology
    Electronics & Communication Engineering · 2026
  • HSC
    Maharishi Vidya Mandir
    2022
  • SSLC
    Maharishi Vidya Mandir
    2020

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
Python Computer Vision Machine Learning Object Detection
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C SQL IoT Java Flask JavaScript Data Analysis Classification Model Evaluation Data Preprocessing Data Visualization Feature Engineering Predictive Analytics API Integration Understanding

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
Raspberry Pi
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL Postman Microsoft Excel TensorFlow Lite Jupyter Notebook Microsoft Power BI The MathWorks MATLAB Amazon Web Services AWS

Projects

  • Buddy Bot — Social Distancing Detection Robot
    Python, ESP32, Raspberry Pi, Ultrasonic Sensor

    Engineered real-time proximity detection with calibrated sensor logic for reliable 2-metre range monitoring. Built threshold-based alert logic and reduced false positives through tuned distance filtering.

  • Digital Twin-Based Sedentary Risk Monitoring System
    Python, Flask, MySQL, React.js, ESP32, IoT, REST API

    Built a Flask REST API backend ingesting real-time sensor data over WiFi and storing it in MySQL for analytics. Developed a Digital Twin model mirroring user activity profiles from live sensor streams to generate predictive health insights. Designed a risk-classification algorithm (Normal / Medium / High) driving just-in-time adaptive interventions: alerts, screen lockdown, and voice prompts. Added health scoring and progress dashboards to improve user engagement.

Courses & certifications

  • Introduction to IoT · NPTEL
  • Introduction to Machine Learning · NPTEL

⚽ Extracurricular activities

  • Smart India Hackathon 2024 & 2025

    Competition participation

  • Startup Fest 2025 (Startup TN)

    Competition participation

  • I-Tech Hackfest 2024 (National)

    Competition participation

  • NIYAM 2025

    Competition participation

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