Gayathri Vivekini B.

Key Skills

Software

Other

Top Subject Matter

Artificial Intelligence / Machine Learning (introductory)

CNC Programming / Manufacturing automation (non-AI)

Top Data Types

Text

3D Sensor

Audio

Top Task Types

Data Collection

Transcription

Question Answering

Text Summarization

Text Generation

Object Detection

Classification

Segmentation

Point/Key Point

Evaluation/Rating

Fine-tuning

Red Teaming

Freelancer Overview

APSSDC - Edunet (IBM SkillsBuild) – AI & Machine Learning Intern. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology in Mechanical Engineering, Gayatri Vidya Parishad College of Engineering (A) (2026) and Intermediate, Narayana Junior College (2022). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Data Collection, Computer Programming, and Coding.

Labeling Experience

APSSDC – CNC Programming Intern

Other

As a CNC Programming intern, she worked on writing and applying CNC programs for milling and lathe operations using Siemens tooling. Her role involved setting up machining-related code to enable correct manufacturing execution. While not an AI labeling role, the work required programming-focused preparation and operational tuning tied to machine runs. • Developed CNC programming for milling/lathe processes • Applied Siemens systems for machining operations • Supported manufacturing execution through program setup • Gained hands-on exposure to machining workflows

Not specified

APSSDC - Edunet (IBM SkillsBuild) – AI & Machine Learning Intern

OtherTextData Collection

As an AI & Machine Learning intern, she performed data preprocessing to prepare datasets for basic model building. She worked on introductory deployment tasks to understand end-to-end machine learning workflows. Her activities focused on transforming raw inputs into usable training-ready data and validating basic model behavior. • Data preprocessing and preparation for ML training • Basic model building using prepared datasets • Introductory deployment to learn real-world ML usage • Followed ML workflow steps from data to deployment

Not specified

Education

Work History