Aryan Sharma

I’m a Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning. I combine strong algorithmic problem-solving with practical full-stack development to deliver scalable, reliable solutions.

I’ve built predictive models that perform under real constraints, including a Pre-Symptom Disease Stress Predictor using Random Forest and SVM to forecast health stress with 92% accuracy. I also optimized feature engineering and EDA workflows to reduce computational latency by 15%, while improving robustness through data cleaning for high-dimensional datasets.

My work in computer vision includes an AI-Multimodal Crop Pest Identification model using a CNN in TensorFlow, achieving 93% validation accuracy. I enhanced performance through image preprocessing and data augmentation, and I documented the architecture and deployment strategy for agricultural monitoring.

Beyond projects, I coordinate at scale through NSS—spearheading logistics for blood donation camps and increasing donor participation by 20% through strategic outreach. I also manage 100+ volunteers for tree plantation drives, overseeing 10000+ saplings, and I value learning, ownership, and teamwork as I pursue impactful, real-world engineering.