Fresher who has shipped Django/Flask apps across three internships and trained a multi-algorithm ML system to detect network intrusions. Looking for a team that builds real things.
I'm a Computer Science Engineering graduate (B.Tech CSE, 2022–2026) actively building toward a career in full-stack development. Across three internships I've worked through the full stack — Django and Flask on the backend, REST APIs connecting to JavaScript front ends, and MySQL/Oracle SQL underneath all of it.
My final-year project pushed this further: an Advanced Persistent Threat detection system that trains four ML classifiers (Random Forest, SVM, KNN, XGBoost) on the DARPA intrusion dataset and ranks attack severity in a live comparison dashboard.
I learn by building — alongside coursework I maintain a running collection of 20+ Python projects, from CLI simulations to introductory ML algorithms, just to keep fundamentals sharp.
An APT detection web app built with Django and Scikit-learn, training Random Forest, SVM, KNN, and XGBoost classifiers on the DARPA intrusion dataset. A multi-algorithm dashboard visualizes model accuracy side by side, and a simulated incident-response framework cuts detection-to-containment time by half.
A browser-based calculator with a Flask backend handling server-side computation, connected via REST API to a JavaScript frontend — a small, deliberate demonstration of full-stack request/response flow.
20+ standalone Python programs built to keep fundamentals sharp: CLI simulations (ATM, bank account, bus booking), interactive games (Hangman, Quiz, Chess, Slot Machine), utilities (QR generator, password checker, Sudoku validator), and introductory ML algorithms (KNN, Naive Bayes, Random Forest, Decision Tree).
Building end-to-end web apps with Django, REST APIs, authentication, session handling, and Oracle SQL integration. Developing responsive front-end layouts with HTML5, CSS3, and dynamic DOM updates in JavaScript.
Built a Flask/Django app with full authentication and CRUD operations on MySQL, cutting page data load time by 20% through optimized queries. Integrated REST APIs between the Python backend and JavaScript frontend for dynamic rendering without full-page reloads.
Developed 3+ responsive, mobile-first pages with HTML5 and CSS Flexbox, and shipped a client-side form validation module that cut invalid submissions by 40% in user testing. Resolved 10+ cross-browser UI inconsistencies between Chrome and Firefox.