Portfolio - Namrata Patel

Namrata Patel

AI/ML Engineer

About Me

From debugging my first "Hello World" to training neural networks -
my journey in AI/ML has been incredible!

Currently working at Pixonate Labs, where I work on cutting-edge
projects involving computer vision, deep learning, and creating
user-friendly AI applications.

I believe in learning by building, and I love sharing my journey
to inspire other beginners in tech.

Key Skills

Machine Learning

Object Detection

Image Segmentation

Deep Learning

SQL

PowerBI

Excel

Communication

YOLO

Python

OpenCV

My Projects

Automated Bearing Quality Inspection

Domain/Function: Automation

AtliQ Grand Hotel Data Analysis

Domain/Function: Hospitality

AtliQ Hardware - Business Insights 360

Domain/Function: Brick & Mortar and E-commerce

Sales & Finance Report

Domain/Function: Sales & Finance

My Experience

AI/ML Engineer – Pixonate Labs, Pune

June 2025 – Present

Working on end-to-end AI/ML solutions across automation and healthcare domains, with a strong focus on computer vision–based systems.

Developed and deployed object detection, image segmentation, and classification models for real-world automation use cases, achieving up to 92% detection accuracy across multiple datasets.
Designed and optimized deep learning pipelines using TensorFlow and PyTorch, reducing model inference time by ~30% while maintaining high precision and recall.
Implemented computer vision–based defect detection systems for industrial automation, improving manufacturing quality inspection accuracy and minimizing manual review efforts.
Processed and analyzed medical imaging datasets, including tumor and region-based detection tasks, achieving consistent segmentation accuracy above 88% using advanced CNN-based architectures.
Built end-to-end AI workflows, covering dataset curation, annotation validation, preprocessing, training, evaluation, and production-ready inference pipelines.
Automated data extraction and reporting pipelines (segmentation masks, RGB feature extraction, structured CSV generation), reducing manual data processing time by 40%.

Developed interactive dashboards using Streamlit and React to visualize model performance metrics, track experiments, and monitor AI workflows in real time.

Technologies & Tools: Python, TensorFlow, PyTorch, OpenCV, Machine Learning, Deep Learning, Computer Vision, Object Detection, Image Segmentation, Classification, Streamlit, HTML/CSS, Git, Jupyter Notebooks