About
Highly motivated and results-driven Information Science and Engineering student with a strong foundation in full-stack development, machine learning, and competitive programming. Demonstrated ability to design, develop, and deploy innovative applications, including an AI-powered plastic detection system and a deepfake detection model. Eager to leverage expertise in React, Python, and ML frameworks to solve complex technical challenges and contribute to cutting-edge software solutions.
Volunteer
Google Developer Student Clubs
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Summary
Engaged actively in Google Developer Student Clubs, participating in workshops and hackathons to gain practical experience with cutting-edge technologies.
Highlights
Participated in over 10 workshops and hackathons, acquiring hands-on experience with cutting-edge technologies and industry best practices.
Collaborated on various projects during events, enhancing practical development skills and understanding of real-world applications.
Algoholics
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Summary
Actively participated in competitive programming and algorithmic challenges, significantly enhancing problem-solving and coding abilities.
Highlights
Attended over 10 coding competitions and algorithmic challenges, sharpening skills in competitive programming and advanced problem-solving.
Improved proficiency in data structures and algorithms through consistent practice and application in high-pressure competitive environments.
Education
Skills
Programming Languages
C, C++, Python, Kotlin, JavaScript, Dart.
Databases
MongoDB, MySQL, Firebase, Supabase.
Frameworks & Libraries
React 18, Material UI, Flask, PyTorch, YOLOv8, ResNet, Tailwind CSS, React Hooks, NodeJS.
Machine Learning & AI
Machine Learning, Deep Learning, Object Detection, Deepfake Detection, Model Training, MTCNN.
Core Computer Science
Data Structures, Algorithms.
Competitive Programming
LeetCode (200+ problems), GeeksforGeeks (100+ problems), HackerRank (70+ problems, 3-star Problem Solving, 2-star C++).