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Computer Science student and Python developer with experience in AI and full-stack development, including building production-minded ML systems and scalable backend architectures. Strong background in Python, Computer Vision, Machine Learning, and backend/web development through real-world GitHub projects. Completed an AI internship focused on face recognition using PCA and ANN built from scratch in Python, including preprocessing, training, evaluation, and performance improvements. Passionate about automation, intelligent applications, and delivering well-structured, documented, testable software.…Computer Science student and Python developer with experience in AI and full-stack development, including building production-minded ML systems and scalable backend architectures. Strong background in Python, Computer Vision, Machine Learning, and backend/web development through real-world GitHub projects. Completed an AI internship focused on face recognition using PCA and ANN built from scratch in Python, including preprocessing, training, evaluation, and performance improvements. Passionate about automation, intelligent applications, and delivering well-structured, documented, testable software.

P RAVESH SHARMA

Full Stack Developer, AI Developer, AI Engineer, +3

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Computer Science student and Python developer with experience in AI and full-stack development, including building production-minded ML systems and scalable backend architectures. Strong background in Python, Computer Vision, Machine Learning, and backend/web development through real-world GitHub projects. Completed an AI internship focused on face recognition using PCA and ANN built from scratch in Python, including preprocessing, training, evaluation, and performance improvements. Passionate about automation, intelligent applications, and delivering well-structured, documented, testable software.…Computer Science student and Python developer with experience in AI and full-stack development, including building production-minded ML systems and scalable backend architectures. Strong background in Python, Computer Vision, Machine Learning, and backend/web development through real-world GitHub projects. Completed an AI internship focused on face recognition using PCA and ANN built from scratch in Python, including preprocessing, training, evaluation, and performance improvements. Passionate about automation, intelligent applications, and delivering well-structured, documented, testable software.

Available to hire

Computer Science student and Python developer with experience in AI and full-stack development, including building production-minded ML systems and scalable backend architectures. Strong background in Python, Computer Vision, Machine Learning, and backend/web development through real-world GitHub projects.

Completed an AI internship focused on face recognition using PCA and ANN built from scratch in Python, including preprocessing, training, evaluation, and performance improvements. Passionate about automation, intelligent applications, and delivering well-structured, documented, testable software.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Hindi

Advanced

Gujarati

Advanced

Work Experience

Artificial Intelligence Intern (Computer Vision & Machine Learning) at Internship Studio

January 1, 2026 - December 31, 2026

Built a Face Recognition system using PCA for dimensionality reduction and a Neural Network trained via backpropagation in Python without relying on high-level ML libraries. Implemented PCA from scratch, performed image preprocessing, feature extraction, dataset preparation, model training/testing, and evaluated recognition performance to improve accuracy. Applied software engineering practices such as modular code design, debugging, testing, and technical documentation throughout the project lifecycle. Researched computer vision and facial recognition approaches, collaborated with mentors, and delivered a functional AI solution with comprehensive documentation.

Artificial Intelligence Intern at Internship Studio

January 1, 2026 - December 31, 2026

Built and successfully completed an AI internship focused on Computer Vision and Machine Learning. Implemented a Face Recognition system in Python using Principal Component Analysis (PCA) and Artificial Neural Networks (ANN). Implemented PCA from scratch for dimensionality reduction and built an ANN using backpropagation without relying on high-level ML libraries. Performed image preprocessing, feature extraction, dataset preparation, model training/testing, and performance evaluation to improve recognition accuracy. Applied modular software engineering practices including debugging, testing, and technical documentation.

Artificial Intelligence Intern at AI-Internship Studio

January 1, 2026 - December 31, 2026

Successfully completed an Artificial Intelligence internship focused on Computer Vision and Machine Learning. Implemented a Face Recognition system using Principal Component Analysis (PCA) and Artificial Neural Networks (ANN) in Python. Built PCA from scratch for dimensionality reduction and implemented an ANN with backpropagation without relying on high-level ML libraries. Conducted image preprocessing, feature extraction, dataset preparation, model training/testing, and performance evaluation to improve recognition accuracy. Applied software engineering practices including modular code design, debugging, testing, and technical documentation throughout the project lifecycle. Researched computer vision algorithms and machine learning techniques for better system performance; collaborated with mentors and delivered a complete AI solution with comprehensive documentation.