I’m a Computer Science Engineering graduate and early-career Python full-stack developer who loves turning data into useful products. Through internships at Pentagon Space and Skill India Digital, I built hands-on experience across Django/Flask backends, REST APIs, and machine learning workflows.
At Pentagon Space, I developed full-stack web applications using Python (Django/Flask) and JavaScript, designed and integrated REST APIs, and managed relational databases with MySQL to optimize query performance. I also built responsive, user-centric UIs with HTML5, CSS3, and Bootstrap for cross-browser compatibility.
I sharpened my AI/ML skills as a Machine Learning Engineer Intern, using Pandas/NumPy for preprocessing and EDA and implementing supervised and unsupervised models like Linear Regression, K-Means, and Decision Trees. I’ve applied this to real projects, including a voice-enabled crop disease detection system (Flask + ML) and a full-stack AI chatbot with conversational memory deployed on Render (backend) and Vercel (frontend).
