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Afrid D.

Afrid D.

Research Intern — Action Recognition (UCF-101; 3D CNN architectures in PyTorch)

India flagN/A, India

Key Skills

Software

Other

Top Subject Matter

Computer Vision / Action Recognition
Machine Learning / Predictive Analytics (Burnout)

Top Data Types

3D Sensor3D Sensor

Top Task Types

Action RecognitionAction Recognition
DiagnosisDiagnosis

Freelancer Overview

Research Intern — Action Recognition (UCF-101; 3D CNN architectures in PyTorch). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include PyTorch and Other. Education includes Bachelor of Technology, SRM University (2022) and Higher Secondary (Class 12), Sri Chaitanya Junior College (2022). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Action Recognition and Diagnosis.

Labeling Experience

Research Intern — Action Recognition (UCF-101; 3D CNN architectures in PyTorch)

Action RecognitionAction Recognition

Conducted research developing action recognition models using the UCF-101 dataset by evaluating 3D CNN architectures such as I3D and SlowFast. Performed analysis of existing state-of-the-art methods to design and refine a novel model architecture. Implemented experiments and learning iterations in PyTorch to improve action recognition performance. • Worked with video-based action recognition data pipelines. • Compared model families (I3D vs SlowFast) for feature extraction. • Analyzed prior approaches to guide architectural improvements. • Built and trained models using deep learning workflows.

2025 - 2026

AI/ML Intern — Edunet Organisation (IBMSkillsBuild) (Burnout prediction model training)

OtherDiagnosisDiagnosis

Designed and trained an employee burnout prediction model using real-world HR data. Executed an end-to-end ML pipeline including preprocessing, feature selection, and hyperparameter tuning. Validated model performance through iterative training workflows in a notebook-based environment. • Prepared HR data for modeling through preprocessing steps. • Selected informative features to improve predictive quality. • Tuned model parameters for better generalization. • Delivered results using Python-based analysis tooling.

2024 - 2024

Education

S

Sri Chaitanya Junior College

Higher Secondary (Class 12), General Education

Higher Secondary (Class 12)
2020 - 2022
S

SRM University

Bachelor of Technology, Computer Science and Engineering

Bachelor of Technology
2022

Work History

N

N/A

Research Intern (Action Recognition)

N/A
2025 - 2026
E

Edunet Organisation

AI/ML Intern (Burnout Prediction)

N/A
2024 - 2024