Ankur K.

Key Skills

Software

Don't disclose

Top Subject Matter

Computer Vision (Object Detection)

NLP / LLM Applications

Web Application Development

Top Data Types

Image

Document

Top Task Types

Object Detection

Text Generation

Data Collection

Freelancer Overview

GTS Software Developer — AI solutions including YOLOv8 object detection and LLM-based querying. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Don't disclose. Education includes Bachelor of Science, BML Munjal University (2025) and Higher Secondary Certificate, PCM 11th and 12th (2023). AI-training focus includes data types such as Image and Document and labeling workflows including Object Detection, Text Generation, and Data Collection.

Labeling Experience

GTS Software Developer — LLM-based data querying for large-scale datasets

Don't discloseDocumentText Generation

Developed LLM-based querying over large-scale image and document datasets, indicating AI training-data handling for language model usage. The effort centered on structuring document-related content so it could be queried and consumed by AI components. This supports downstream AI model behavior by ensuring relevant text/context is available for LLM-based tasks. • Enabled LLM querying for large-scale document content • Curated document data for AI consumption • Combined computer vision outputs with document/text workflows • Supported language-model driven retrieval over dataset content

2025 - Present

GTS Software Developer — AI solutions including YOLOv8 object detection and LLM-based querying

ImageObject Detection

Built YOLOv8-based pipelines for large-scale image and document datasets, focusing on preparing AI-ready training data. The work involved leveraging computer vision approaches to support object detection model training and evaluation. This included creating or curating dataset inputs so the models could learn from labeled visual content. • Used YOLOv8 for object detection-oriented dataset preparation • Worked with large-scale image and document datasets for training • Supported model development through training-data readiness • Applied deep learning/computer vision techniques to improve detection outcomes

2025 - Present

Worq/WorkGo Consulting — Frontend Developer Intern (excluded from labeling focus)

Don't discloseDocumentData Collection

Built responsive e-commerce and improved user engagement through UI optimization, which is not a labeling or AI-training-focused role. No explicit annotation, labeling, or AI training activities were described. Therefore, no data labeling specifics can be reliably extracted from this internship. • UI/content work only—no annotation or labeling duties stated • No dataset creation or labeling mentioned • No model training or annotation pipeline described • Role lacks explicit AI training/labeling responsibilities

2023 - 2023

Education

Work History