Yashvi T.

Key Skills

Software

OpenCV AI Kit (OAK)

Other

Top Subject Matter

Computer Vision / Facial Recognition / Real-time Surveillance

Generative AI / Voice & Media Generation / Educational Content Workflows

LLM-based Data Processing / Supervised ML / Satellite Image Analysis

Top Data Types

Image

Top Task Types

Object Detection

Text Generation

Segmentation

Freelancer Overview

AI/ML Intern, ADIANCE TECHNOLOGIES (10/2024–04/2025). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK), Internal, and Proprietary Tooling. Education includes Bachelor of Technology, Karnavati University (2025) and Higher Secondary Certificate, White House Public School (2021). AI-training focus includes data types such as Image, Computer Code, and Programming and labeling workflows including Object Detection, Text Generation, and Evaluation.

Labeling Experience

Junior Data Scientist - iPower Softwares

ImageSegmentation

Developed an automated CSV header detection system using LLMs and the Groq API to improve reliable data ingestion. Built predictive analytics components to support a refinance prediction workflow using XGBoost with EDA, feature engineering, and categorical encoding. Created satellite image analysis models for rooftop, solar panel, and greenery detection using deep learning techniques. • Designed and implemented LLM-based automation for data preprocessing • Engineered machine learning features and trained XGBoost models for forecasting • Applied computer vision (YOLO-OBB and segmentation) to geospatial imagery • Ensured end-to-end pipeline accuracy and reduced manual data effort

2025 - 2026

Jr. Data Scientist, iPOWER SOFTWARES (08/2025–05/2026)

Other

Developed an automated CSV header detection system using LLMs and the Groq API to support data ingestion accuracy and reduce manual effort. Built a refinance prediction model using XGBoost with EDA, feature engineering, and categorical encoding, requiring supervised learning datasets and performance evaluation. Created satellite image analysis models using YOLO-OBB and segmentation techniques for rooftop, solar panel, and greenery detection, implying labeled image training inputs for object detection and segmentation tasks.

2025 - 2026

AI Intern, KALOREX HOUSE OF INSTITUTIONS (06/2025–07/2025)

ImageText Generation

Researched and implemented AI tools for voice cloning, image/video generation, dubbing, and content creation based on organizational needs. Developed AI-powered educational content workflows using avatar and chatbot platforms, which required curating training or prompting inputs and validating generated outputs. Provided AI integration guidance for LMS selection and content workflow optimization, ensuring alignment of outputs with expected instructional formats.

2025 - 2025

AI/ML Intern, ADIANCE TECHNOLOGIES (10/2024–04/2025)

OpenCV AI Kit (OAK)ImageObject Detection

Worked on training an ML model for facial recognition optimized for NIST FRVT submission, which required preparing and using labeled face data for model development. Implemented YOLO-based helmet detection for real-time surveillance, involving object bounding-box style annotations for people and helmets. Focused on optimizing model performance to meet evaluation requirements.

2024 - 2025

Education

Work History