Adhri J.

Key Skills

Software

Other

OpenCV AI Kit (OAK)

Top Subject Matter

Machine Learning -Object detection

LLM Evaluation – Factual Accuracy & Hallucination Detection

Machine Learning – Model Evaluation & RLHF

Top Data Types

Image

Text

Audio

Top Task Types

Object Detection

Transcription

Freelancer Overview

ML Intern — AntzMedia (01/2026 - 02/2026). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and OpenCV AI Kit (OAK). Education includes Bachelor of Technology in Artificial Intelligence and Machine Learning, CHRIST (Deemed to be University) (2026) and Pre-University Course in Computer Science, St. Teresa's Convent Girls High School (2022). AI-training focus includes data types such as Image, Computer Code, and Programming and labeling workflows including Text, Evaluation, and Rating.

Labeling Experience

Machine Learning Intern - AntzMedia

ImageTranscription

Developed an OCR-based business card scanning module for the thesmartcards platform, enabling automated extraction of contact details and logo data from physical cards. Implemented image preprocessing and integrated the OCR.space API to improve text recognition accuracy under file size constraints. Designed a modular pipeline for image ingestion, OCR processing, and structured data parsing while collaborating with senior developers using Python. • Built an OCR extraction workflow for business cards • Applied resizing, compression, and format validation for better OCR performance • Integrated OCR.space API with constraints handling • Developed structured parsing for downstream feature integration

2026 - 2026

Intern — Intel Unnati (05/2024 - 07/2024)

Other

Developed a deep-learning multitask model for autonomous driving to support real-time vehicle cut-in detection and direction prediction. Implemented a real-time warning system that predicts vehicle movements and generates alerts to improve road safety. Worked with YOLOv5, LSTM, and attention mechanisms to build the predictive components of the system. • Object detection-based cut-in detection • Trajectory/direction prediction with sequence modeling • Real-time alert generation • Road-safety warning system development

2024 - 2024

Project — Vehicle Cut-in Detection (YOLOv5 + LSTM/Attention)

OpenCV AI Kit (OAK)VideoObject Detection

Created a real-time vehicle cut-in detection system using YOLOv5 for object detection combined with a multitask trajectory prediction model. Processed video frames and extracted motion features using OpenCV, then optimized model hyperparameters with GridSearchCV. Implemented the deep learning components using TensorFlow/Keras and delivered real-time safety alerts based on detection and predicted trajectories. • YOLOv5 object detection on video frames • Motion feature extraction with OpenCV • Hyperparameter tuning with GridSearchCV • Real-time alerting from detection + trajectory prediction

2024

Education

Work History