Hello! I'm Avish Bansal, a passionate and creative Full Stack Web Developer studying Computer Engineering. I love building responsive, accessible, and high-performance websites that combine visual aesthetics with raw backend speed.
Currently, I am pursuing my studies at Thapar Institute of Engineering and Technology to expand my expertise in logical algorithms and systems software. I enjoy working on full-stack projects, database engineering, and cybersecurity.
Core object-oriented logic, algorithms, and systems implementations.
Native client-side behaviors, asynchronous fetching, and web API styling.
Pure backend server development, REST routing, and middleware design.
Real-time serverless database synchronization and storage integration.
Component-driven UI, custom Hooks, and SPA routing integration.
Automation scripts, data manipulation, and lightweight web systems.
Allotted under the District Information Office (NIC), Patiala, Punjab for technological policy implementations. Analyzed administrative data registers to assist government officials in validating local program deployments, digitizing public workflows, and streamlining queue efficiency.
Worked as a Fullstack Web Development Intern. Designed responsive UI layouts and backend API endpoints using HTML, CSS, and JavaScript. Optimized resource dependencies to increase overall website loading speed by 15%.
Participated in the national-level security bug bounty organized for BOSS OS (Bharat Operating System Solutions). Audited system modules and configuration libraries for potential exploits and reported detailed vulnerability documentations to C-DAC engineers.
Developed a full-stack, zero-dependency Node.js HTTP server. Integrated Firebase Realtime Database REST API to achieve cloud data persistence. Built interactive appointment booking, custom measurements input, and e-commerce reservations cart natively.
Live ApplicationCreated a responsive real-time news aggregator website. Integrates NewsAPI via dynamic fetch calls, supporting custom topics search and category pagination with robust connectivity fallbacks.
Designed a business intelligence dashboard in Power BI for AtliQ Grands. Engineered revenue analytics metrics (ADR, RevPAR) to evaluate booking occupancy rates and generate performance recommendations.