Tools: Meet the AI Assistant That Guards My Portfolio

About Me ## Portfolio ## How I Built It ## 1. The "AI-First" Development Process ## 2. The Tech Stack ## 3. Google AI Integration ## What I'm Most Proud Of New Year, New You Portfolio Challenge Submission This is a submission for the New Year, New You Portfolio Challenge Presented by Google AI Hi everyone! I'm a Software Engineer based in Bangladesh with over 3 years of experience specializing in Java and Spring Boot. Currently, I work at Technonext (a sister concern of US-Bangla Airlines), where I lead a small team building complex backend architectures for a ride-sharing application like Uber. While my "home base" is backend engineering with some Angular on the side, I believe a modern developer should never stop learning. This challenge pushed me to dive into Google Cloud Platform for the first time — and I'm glad it did. Deploying to Cloud Run, configuring containers, and integrating Gemini AI opened up a whole new world. But beyond the tech, I wanted my portfolio to have personality. Not just another skills grid and project list. Something that talks back. Enter DS-7 — an AI assistant that knows my entire career and adapts its tone based on who's asking. Recruiters get professional answers. Developers get witty terminal responses. This portfolio represents that journey — combining my backend roots, frontend skills, and the power of Google's AI tools. 💡 Pro tip: Click the pulsing terminal icon in the bottom-right corner. Try typing ls, sudo, or just ask "Why should I hire him?" (Note: The embedded site above is live on Google Cloud Run. Click the chat icon to ask the AI about my skills!) I didn't want just a static HTML page. As a backend engineer, I wanted to showcase a full-stack architecture that is robust, scalable, and "smart." This project was born in the cloud. Beyond development, AI is at the core of the user experience: I am most proud of the seamless integration of new AI tools into a professional DevOps workflow. Taking a project generated by Antigravity, polishing it with Gemini, and having it deploy automatically to Cloud Run via a CI/CD pipeline felt like the future of software engineering. Seeing the "Hello World" turn into a fully functional, AI-powered application running on Google's infrastructure was the perfect start to 2026! Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to ? It will become hidden in your post, but will still be visible via the comment's permalink. as well , this person and/or - Starting with Antigravity: I used Google Antigravity, Google's AI-first development environment, to generate the initial project structure. It instantly set up the boilerplate for a Spring Boot backend and Angular frontend, saving me hours of setup time. - Refining with Gemini: Once the foundation was laid, Gemini served as my primary co-pilot. I relied heavily on it to "furnish" the project—refining the TypeScript logic, debugging Docker networking issues, and optimizing the Spring Security configurations. - Frontend: Angular (built as a responsive SPA). - Backend: Spring Boot (Java 17). - Containerization: Docker (multi-stage builds). - Cloud: Google Cloud Run (Serverless deployment in the asia-south1 region). - CI/CD: Google Cloud Build (configured to auto-deploy from GitHub). - Gemini API: I integrated the Gemini API to power a chatbot that answers questions about my work history and projects. Recruiters can simply ask, "Does he know Spring Boot?" instead of reading a resume. - DevOps Automation: I even used Gemini to generate the specific gcloud deployment scripts and set up the CI/CD pipeline, ensuring a smooth path to production.