Hello, I’m

Harsheet Kaur

Executive, ARIES

Passionate about design, technology and creating meaningful experiences through innovation.

3rd Year, MAE IIT Delhi
HK

Tools

PythonC++PyTorchTensorFlowGitDockerFigmaSQL

Achievements

  1. 2025

    Gold Medal

    ACM India Hackathon 2025

    Awarded Gold Medal for developing an AI-powered solution that enhances accessibility in education using computer vision and NLP technologies.

  2. 2024

    Winner

    Smart India Hackathon 2024

    Led the team to victory by building an intelligent waste management system integrated with IoT sensors and real-time analytics.

  3. 2023

    AIR 73

    IIT JAM (Mechanical)

    Secured All India Rank 73 among thousands of candidates in the IIT JAM examination for Mechanical Engineering.

  4. 2023

    Finalist

    Google Solution Challenge 2023

    Selected as a finalist among top teams for our sustainable urban mobility solution using ML and data-driven insights.

  5. 2021

    NTSE Scholar

    National Talent Search Examination

    Awarded scholarship for exceptional performance in the National Talent Search Examination conducted by NCERT.

  6. 2021

    IMO Qualifier

    Indian National Olympiad

    Qualified for the Indian National Olympiad in Mathematics with a top percentile ranking at the national level.

Projects

AURA – Anomaly Detection System

Unsupervised anomaly detection pipeline for real-world industrial IoT sensor streams.

PythonPyTorchTime SeriesAnomaly Detection

Muse – Mindful Journal App

A mobile journaling app that helps users track mood, reflect and build mindfulness.

FigmaUI/UXPrototypingMobile

Navix – Autonomous Rover

A ROS-based autonomous navigation rover using LiDAR, SLAM and path-planning algorithms.

ROSC++SLAMNavigation

Coursework

  • Machine LearningSupervised & unsupervised learning, regression, classification, clustering.
  • Deep LearningNeural networks, CNNs, RNNs, backpropagation, transfer learning.
  • Computer VisionImage processing, object detection, segmentation, OpenCV, filters.
  • RoboticsKinematics, dynamics, ROS, motion planning, sensor integration.
  • Data Structures & AlgorithmsArrays, linked lists, trees, graphs, DP, greedy algorithms, complexity analysis.
  • Operating SystemsProcesses, threads, synchronization, memory management, scheduling.

Hobbies & Interests

SketchingPhotographyReadingTravelBadmintonMusic

Internships and Professional work

  • Machine LearningSupervised & unsupervised learning, regression, classification, clustering.
  • Deep LearningNeural networks, CNNs, RNNs, backpropagation, transfer learning.
  • Computer VisionImage processing, object detection, segmentation, OpenCV, filters.

Research Interests

Working at the intersection of machine learning and design — how intelligent systems can be made more interpretable, accessible and human-centred. Currently exploring anomaly detection in time-series data and multimodal learning.

Open to collaborations on applied ML research, especially in sustainability and education.

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