Aryan K.

Key Skills

Software

Google Cloud Vertex AI

LabelImg

Roboflow

Top Subject Matter

Object Detection and Image Recognition

3D computer vision and 3D model reconstruction

Top Data Types

Text

Image

Video

Top Task Types

Entity (NER) Classification

Bounding Box

Classification

Object Detection

Question Answering

Text Summarization

Fine-tuning

Text Generation

Computer Programming/Coding

Freelancer Overview

Research Intern, IIT Patna (Aug 2024–Nov 2024) — synthetic data creation and LLM fine-tuning with NER preprocessing. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include HuggingFace and Open3D. Education includes Bachelor of Technology, National Institute of Technology, Kurukshetra (2025). AI-training focus includes data types such as Text and 3D Sensor and labeling workflows including Entity (NER) Classification and Data Collection.

Labeling Experience

Machine Learning Intern, Asvin Tech Biodent Pvt Ltd (Dentra) (Jan 2024–Apr 2024) — 3D data preparation for reconstruction pipelines

3D SensorData Collection

Collaborated on implementing research work for 3D computer vision that used RGB and depth camera inputs to construct 3D models. The role involved generating/curating 3D data used for model development and improving output quality through computer-vision pipelines. This supported training or evaluation workflows for 3D reconstruction systems. • Implemented KinnectFusion to build 3D models from RGB and depth images • Used Open3D and OpenCV to improve the quality of reconstructed 3D outputs • Integrated research-paper methods into the development workflow • Supported developer efforts for 3D perception and model development tasks

2024 - 2024

Research Intern, IIT Patna (Aug 2024–Nov 2024) — synthetic data creation and LLM fine-tuning with NER preprocessing

TextEntity (NER) Classification

Worked on a conversational recommendation system by collecting and generating synthetic training data to support downstream model development. Performed preprocessing using NER with large language models and fine-tuned LLMs on the prepared data. The work focused on creating and transforming labeled textual inputs required for conversation and recommendation tasks. • Collected and generated synthetic conversation/recommendation data for Bollywood movie recommendations in Romanized Hindi • Applied LLM-based preprocessing for NER to structure entity information • Fine-tuned LLMs on the synthetic preprocessed dataset • Prepared data for conversational recommendation model training workflows

2024 - 2024

Education

Work History