Shivani M.

Key Skills

Software

Google Cloud Vertex AI

Top Subject Matter

Machine Learning (TensorFlow-based) model evaluation and deployment workflows

Data handling and quality-checked reporting for analytics

Top Data Types

Text

Top Task Types

Data Collection

Freelancer Overview

GOOGLE-AIML Virtual Internship — AI/ML Certification Program (AI/ML model training & evaluation). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Google Cloud Vertex AI, Internal, and Proprietary Tooling. Education includes Bachelor of Technology in Computer Science, SRM Institute of Science and Technology (2025). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

GOOGLE-AIML Virtual Internship — AI/ML Certification Program (AI/ML model training & evaluation)

Google Cloud Vertex AI

In a virtual AI/ML certification program, the candidate built Python-based workflows for preparing datasets and automating parts of the ML pipeline. They trained and deployed machine learning models using Python and TensorFlow for real-world problems. They then evaluated model predictions on datasets and recommended improvements to increase reliability. • Implemented data preprocessing, file handling, and workflow automation scripts in Python. • Built and deployed ML models using TensorFlow. • Tested prediction accuracy across datasets and compared outcomes. • Proposed reliability improvements based on evaluation results.

2024 - 2024

Exela Technologies — Data Analyst Intern (data handling and reporting quality checks)

Data Collection

During an internship as a Data Analyst, the candidate performed real-time data handling and reporting tasks with an emphasis on accuracy and quality checks. Their work focused on ensuring timely delivery of outputs according to internal company guidelines. While not explicitly described as annotation, the role involved structured data processing that supports downstream analytical and model-building activities. • Performed data handling and reporting with quality checks. • Ensured accuracy and adherence to company standards. • Delivered outputs in line with reporting timelines. • Supported real-time internship workflows and professional task execution.

2025

Education

Work History