Yashwanth J.

Key Skills

Software

Other

Top Subject Matter

Computer Vision / Image Classification

Machine Learning / Data Processing

AI / IoT Integration

Top Data Types

Image

Document

Top Task Types

Classification

Freelancer Overview

Trainee (Computer Vision) - Radome Technologies. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, Vivekananda Institute of Technology (2024) and Employability Skills Certificate, Wadhani Foundation. AI-training focus includes data types such as Image, Document, and Computer Code and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

Trainee (Computer Vision) - Radome Technologies

ImageClassification

As a trainee, you are training and evaluating a CNN model using annotated image datasets. You assess model performance using a confusion matrix to measure accuracy and identify improvement areas. You apply computer vision fundamentals along with model evaluation practices to support training outcomes. • Trained a CNN on annotated image datasets for classification tasks • Evaluated results using a confusion matrix for accuracy assessment • Analyzed performance to understand error patterns and gaps • Applied deep learning and computer vision evaluation methods in practice.

2025 - Present

Trainee, Radome Technologies Pvt. Ltd. (Dec 2025 – Present)

OtherImage

Trained and evaluated a CNN model using an annotated image dataset. Measured model accuracy using a confusion matrix to assess classification performance. This work focused on using labeled data for supervised learning and model evaluation. • Worked with annotated image datasets. • Trained a convolutional neural network (CNN). • Evaluated performance with a confusion matrix. • Used accuracy results to understand model effectiveness.

2025 - Present

AI for Skilling, NASSCOM (Sep 2024 - Dec 2024)

OtherDocument

Developed machine learning models as part of an AI skilling initiative using AI-driven data processing workflows. Focused on optimizing data processing to support AI solutions. While specific annotation activities are not described, the role indicates supervised ML development backed by processed labeled data. • Developed ML models for skilling solutions. • Optimized data processing workflows. • Supported AI-driven skilling outcomes. • Contributed to data-preparation steps for model training.

2024 - 2024

Artificial Intelligence, Take It Smart (Sep 2023 - Nov 2023)

Other

Applied Python libraries to enhance IoT integration within AI-based systems. Although the resume does not explicitly mention labeling, the work implies building and improving AI system components using coded data handling and processing. The role contributed to operational efficiency improvements for deployed AI functionality. • Used Python libraries for IoT integration. • Improved operational efficiency in AI-based systems. • Enhanced system behavior via code-level integration. • Supported AI solution development work.

2023 - 2023

Education

Work History