About
Highly motivated Computer Science Engineering student with foundational knowledge in AI/ML, Data Science and full-stack development, eager to apply technical skills in innovative environments. Demonstrated ability to develop and deploy intelligent applications, including a Smart Cafeteria web app with personalized recommendations and an interactive Aim Trainer game. Seeking to leverage expertise in Python, Flask, and machine learning to contribute to cutting-edge projects and drive impactful technological solutions.
Work
Remote, Virtual, US
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Summary
Contributed to an intensive AI/ML internship program, gaining practical experience in developing and applying machine learning models across diverse industries.
Highlights
Applied foundational Machine Learning concepts, including supervised and unsupervised learning, to solve real-world problems in various industry contexts.
Acquired practical insights into Artificial Intelligence principles and their integration with Machine Learning, focusing on model development and deployment strategies.
Explored and implemented various Machine Learning and Deep Learning algorithms, enhancing understanding of AI model development methodologies.
Participated actively in hands-on projects and live demonstrations, showcasing the practical application of AI and ML models.
Education
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Bachelor of Technology
Computer Science and Engineering
Courses
Data Structures and Algorithms
Object-Oriented Programming (OOP)
Database Management Systems
Web Technologies
Machine Learning Fundamentals
Artificial Intelligence Principles
Software Engineering
Languages
English
Skills
Programming Languages
Python, Java, C, SQL, HTML, CSS.
Frameworks & Libraries
Flask, Pandas, Pygame, Jupyter Notebook.
Databases
MySQL, SQLite.
Development Tools & Platforms
GitHub, Render, VS Code, CI/CD.
Machine Learning & AI
Machine Learning, Deep Learning, AI Models, Personalized Recommendations, Algorithm Development.
Web Development
Full-Stack Development, Responsive Design, UI/UX Design, Real-time Systems.
Software Engineering
Object-Oriented Programming (OOP), Scalable Architecture, Problem-Solving, Data Analysis.