Bridging the gap between Pharmacology and Technology. I build adaptive, healthcare-focused digital tools using Machine Learning and modern Web Development.
Proficient in HTML, CSS, JavaScript, Bootstrap, and Flask for building responsive and dynamic web applications.
Experience in model training, testing, and deployment (Flask), using XGBoost, SHAP, and healthcare data analysis.
Skilled in using n8n, Zapier, Telegram bots, and webhooks to automate workflows and integrate services.
Creating adaptive interfaces and responsive layouts using Figma and Canva, focusing on modular design.
Utilizing Google Analytics and SEO fundamentals for traffic insights and content optimization.
Knowledge of context engineering, LLM testing, and website creation using Large Language Models.
A selection of my academic and personal projects demonstrating my skills in web development, machine learning, and healthcare technology.
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Associated with Sri Venkateswara University. Developed a web app for real-time stroke risk prediction using an ML model. Designed a fluid interface with user input forms and displayed health recommendations based on predictions.
Associated with Sun Institute of Pharmaceutical Education & Research. Evaluated the anti-diabetic potential of a polyherbal extract, focusing on glucose regulation and its therapeutic relevance in managing type 2 diabetes.
Sri Venkateswara University, Tirupati
Sun institute of Pharmaceutical Sciences, Nellore