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Lokesh Reddy U.

Lokesh Reddy U.

Data and AI Learning Intern (Program Participant)

India flagHyderabad, India

Key Skills

Software

Other
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)

Top Subject Matter

AI Training & Quality Evaluation
data analytics
chatbot development (training/data workflows)

Top Data Types

ImageImage

Top Task Types

Data CollectionData Collection
Object DetectionObject Detection
Emotion RecognitionEmotion Recognition

Freelancer Overview

Data and AI Learning Intern (Program Participant). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and OpenCV AI Kit (OAK). Education includes Master of Technology, Jntuh College Of Engineering Science And Technology (2024) and Bachelor of Technology, Anurag University (2024). AI-training focus includes data types such as Image and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

OpenCV AI Kit (OAK)

Emojify: Real-Time Facial Emotion Recognition Using CNN — CNN training/inference project (Mar 2025 - Aug 2025)

OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)ImageImageEmotion RecognitionEmotion Recognition

Designed and trained a CNN for real-time facial emotion recognition using the FER-2013 dataset. The experience involved preparing and using labeled facial emotion data to train a classification model and then evaluating it with standard performance visualizations. The model was integrated for live inference using computer vision and a UI. • Trained CNN on FER-2013 for emotion classification (93.5% accuracy). • Generated confusion matrices and accuracy comparison charts for evaluation. • Benchmarked against SVM, Random Forest, and RNN baselines. • Integrated model with OpenCV and Streamlit for real-time detection.

2025 - 2025

Edunet Foundation (in collaboration with AICTE) — IBM SkillsBuild learning modules (Feb 2024 - Mar 2024)

OtherImageImageData CollectionData Collection

Completed targeted learning modules on IBM SkillsBuild focused on AI, cloud computing, data analytics, and chatbot development. The training emphasized preparing and working with datasets as inputs for downstream AI tasks. This experience strengthened practical skills required for managing AI data workflows in preparation for model training and evaluation. • Completed 10+ structured learning modules on the platform. • Covered AI and data analytics workflows alongside chatbot development. • Built foundational competence in handling AI training data pipelines. • Applied learning outcomes to real-world AI use cases as part of the program.

2024 - 2024
OpenCV AI Kit (OAK)

Revolutionizing Traffic Monitoring with Helmet and Number Plate Recognition — CV detection project (Nov 2023 - Mar 2024)

OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)ImageImageObject DetectionObject Detection

Engineered a computer vision system to detect helmet and number-plate violations using OpenCV and YOLOv5. The project used deep learning detection techniques where labeled visual training targets (e.g., objects and regions) are central to model learning. Performance was validated using real-time recognition results demonstrating high detection accuracy. • Implemented YOLOv5-based helmet and number-plate violation detection. • Used OpenCV for processing and real-time enforcement automation. • Achieved over 90% accuracy in real-time recognition. • Improved efficiency and speed of violation processing through detection outputs.

2023 - 2024

MathWorks Virtual Internship (in collaboration with AICTE) — MATLAB photo recognition training (May 2023 - Sep 2023)

OtherImageImage

Completed a MathWorks virtual internship (in collaboration with AICTE) using MATLAB-focused coursework for photo recognition. The work involved building and improving image recognition workflows and achieving high accuracy through iterative model development and evaluation. The internship strengthened practical understanding of how training data performance is measured for computer vision tasks. • Trained and evaluated photo recognition models to reach 95% accuracy. • Used advanced machine learning approaches to improve image clarity by ~30%. • Focused on improving recognition quality via iterative experimentation. • Applied course projects related to altering signals and images for better outcomes.

2023 - 2023

Education

A

Anurag University

Bachelor of Technology, Artificial Intelligence

Bachelor of Technology
2020 - 2024
J

Jntuh College Of Engineering Science And Technology

Master of Technology, Data Science

Master of Technology
2024

Work History

E

Edunet Foundation

Data and AI Learning Intern (Program Participant)

Hyderabad
2024 - 2024
M

MathWorks

Virtual MATLAB Internship Intern

Hyderabad
2023 - 2023