Building the future
with intelligent
systems
BTech CSE (AI & ML) student passionate about machine learning and Python. Focused on core ML concepts and solving real-world problems through data-driven, intelligent approaches.
Projects & Research
CNN achieving 95% accuracy on custom dataset using TensorFlow and Keras.
Transformer-based sentiment analysis for customer reviews and social media data.
Interactive dashboard with ML models for trend prediction and anomaly detection.
Collaborative filtering system using matrix factorization and neural filtering techniques.
Real-time YOLO-based object detection for automated surveillance and monitoring.
Lightweight NN framework built from scratch to understand backpropagation fundamentals.
Skills & Technologies
A strong foundation across the full ML stack — from raw data wrangling and model architecture to deployment and monitoring. Always learning, always building.
Machine Learning
Frameworks
Languages
Tools & Cloud
Specializations
Core Skills
Experience & Education
Core focus on Machine Learning, Deep Learning, Data Structures & Algorithms, Python Programming, and Problem Solving.
Comprehensive course on AI fundamentals, building AI projects, and working effectively with AI teams.
Building deep learning models, NLP applications, and computer vision systems from cutting-edge paper implementations.
Actively solving problems to sharpen algorithmic thinking. Focus on optimization and efficient code implementation.
Let's build something amazing together
Always interested in new projects, research opportunities, and AI/ML collaborations. Feel free to reach out anytime!
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