At Handshake AI, I designed and evaluated web-based prompts to test AI search, reasoning, and factual accuracy. I checked model responses against credible sources and documented errors to support improvements to evaluation guidelines.
For my Smart Farming System for Crop Disease Monitoring project, I built a deep learning system to classify crop diseases and healthy classes from leaf images. I handled data preprocessing, image processing, model training, and evaluation.
I also developed machine learning models for credit card fraud detection, using Logistic Regression, Decision Tree, and Random Forest. I evaluated classification quality with AUC-ROC and implemented an end-to-end pipeline covering preprocessing and feature engineering.
My background includes Python, Java, SQL, data structures and algorithms, and machine learning. I’ve solved 800+ DSA problems on LeetCode and earned a 5-Star rating on HackerRank in Problem Solving.
