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Tirth Bariya

Open to work0 years experience

Data Analyst

Leicester, United KingdomTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

MSc Artificial Intelligence student specializing in Deep Learning and Computer Vision.

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Standing Rank

Rank Not Available

Developer Badges

Skills & Technologies

19 skills
pythonc/c++sqlpytorchtensorflowultralytics yolov8opencvalbumentationsobject detectioninstance segmentationdata augmentationmodel evaluationgoogle colab progitarduino idecoco annotation formatacademic researchtechnical writingiot sensor integration

GitHub Activity Evidence

GitHub Footprint Not Connected

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Work Experience

Warehouse Operative (Part-time)

Primark

Oct 2025 - Present Lutterworth
  • Balancing part-time employment with full-time postgraduate study, maintaining consistent attendance and reliability across shift patterns.
  • Worked efficiently within a fast-paced logistics environment, following process and safety procedures accurately under time pressure.

Projects

AI-Driven Microplastic Detection in Ocean Using Drone Imaging

YOLOv8Mask R-CNNPythonPyTorchTensorFlowOpenCVAlbumentationsCOCO formatNVIDIA Tesla T4 GPUGoogle Colab Pro
  • Co-authored and published a peer-reviewed paper (International Journal of Innovative Research in Technology) on an AI-driven system for detecting ocean microplastics from drone imagery.
  • Designed and trained a YOLOv8 object detection model combined with Mask R-CNN instance segmentation, achieving 91.3% mAP@50, 89.6% precision, and 85.2% recall on a custom-annotated test set.
  • Built the full data pipeline: curated and labelled a custom drone-image dataset in COCO format, and applied OpenCV-based image enhancement plus Albumentations-based augmentation to improve generalisation across lighting and water-clarity conditions.
  • Trained and benchmarked the model on an NVIDIA Tesla T4 GPU (Google Colab Pro) using PyTorch and TensorFlow, reaching real-time inference speeds of 35ms per image suitable for UAV deployment.

Smart Agriculture IoT System

Arduino UnoCArduino IDEIoT sensors
  • Designed and built an IoT-based automated irrigation system using an Arduino Uno, soil moisture sensor, relay module, and water pump, removing the need for manual field checks.
  • Programmed real-time sensor logic in C (Arduino IDE) to automatically trigger irrigation when soil moisture dropped below a set threshold, with live status shown on a 16x2 LCD display.
  • Ran unit and validation testing across multiple soil-moisture scenarios to confirm reliable, repeatable automated response before final demonstration.

Leaderboard Standings

Leaderboard Position Pending

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Assessment Highlights

Assessments Not Completed

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AI Collaboration Score

AI Collaboration Score Pending

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Role Compatibility Profile

Role Compatibility Analysis Pending

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Achievements

Published Research: AI-Driven Microplastic Detection in Ocean Using Drone Imaging

Published first-author researcher (IJIRT, 2025) on a YOLOv8/Mask R-CNN detection system achieving 91.3% mAP.

About Details

Professional Bio

MSc AI student with hands-on experience designing and training deep learning models for computer vision. Published researcher with expertise in the full ML pipeline using Python, PyTorch, and TensorFlow. Seeking an entry-level role in Machine Learning or Data Science.

MSc Artificial Intelligence

De Montfort University (2025 - 2026)

BSc Information Technology

University of Mumbai ( - 2024)

Languages: English, Hindi
Email: Locked
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