A Master's in Pharmacology graduate combining machine learning and web development to build adaptive, healthcare-focused digital tools and user-centric platforms for clinical insights.
Focusing on
Digital Health Innovation
I am a Scientific Web Technologist with a Master's in Pharmacology and practical experience in building adaptive, healthcare-focused digital tools. I am skilled in combining machine learning with web development to create user-centric platforms for clinical insights and digital health innovation. Experienced in automation using n8n and Zapier, and deploying responsive applications with HTML, CSS, JavaScript, and Flask. I am passionate about using AI to streamline workflows, visualize healthcare data, and enhance user experience through modular design and ethical research.
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.
Created a multi-tool utility website offering converters, calculators, and PDF tools. Designed a category-wise layout with a fluid UI, theme toggles, and smooth animations.
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.
Evaluated the anti-diabetic potential of a polyherbal extract, focusing on glucose regulation and its therapeutic relevance in managing type 2 diabetes.
Created a multi-tool utility website offering converters, calculators, and PDF tools, focusing on a fluid UI, theme toggles, and smooth animations.
Developed a web app for real-time stroke risk prediction using an ML model, with a responsive front-end for user input and health recommendations.
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
Nellore, Andhra Pradesh, 524004, India