"New Year, New You" Portfolio Challenge

This is a submission for the New Year, New You Portfolio Challenge Presented by Google AI

About Me

I’m Hemanth Chandran, a frontend-focused engineer transitioning into an AI + Full Stack Developer.
This portfolio update represents a deliberate shift from a learning-centric narrative to a product-minded engineering identity — focused on impact, scalability, and long-term growth.

Rather than listing tools, my goal was to show how I think, build, and evolve as an engineer.

Portfolio

Live Portfolio (Deployed on Google Cloud Run)

How I Built It

Tech Stack

• Frontend: React, TypeScript, Vite
• UI & Motion: Tailwind CSS, Framer Motion, Lucide Icons
• AI: Google Gemini
• Dev Environment: Antigravity IDE
• Deployment: Docker + Google Cloud Run

Google AI & Antigravity IDE Usage
I used Google AI, specifically Gemini, to build an AI Career Trajectory Visualizer that simulates future career paths based on skills, learning focus, and time horizon.

During development, I leveraged Antigravity IDE to prototype and refine AI-driven components. Antigravity enabled rapid iteration on prompt design, reasoning structure, and output clarity, helping me focus on AI-first product thinking rather than surface-level integrations.

The AI is intentionally designed to:
Use probabilistic reasoning, not deterministic claims
Explain why a role is suggested
Offer alternative career paths and confidence levels
The goal was to apply AI where it adds real decision-support value, not as a gimmick.

Portfolio Enhancements

• Storytelling Upgrade: Reframed the Hero and About sections from “student/learning” to engineering impact and scalability, including a new tagline: “Engineering the interval between Data and Design.”
• Skills Reorganization: Grouped into:
  1. Core Engineering (Java, Python, C++)
  2. Product Construction (React, Angular, Node.js)
  3. Tech (AI Integration, modern tooling)

Project Refinement:
Projects now follow a clear problem → solution → outcome structure, highlighting real-world relevance and measurable impact.

What I'm Most Proud Of

🧠 AI Career Trajectory Visualizer

A visual timeline mapping my journey toward an AI + Full Stack Developer role
Interactive milestones revealing skills, learning queues, and progress
A “Try Your Own Projection” mode that lets visitors input their own skills and receive an AI-simulated career direction
Transparent explanations, alternative paths, and confidence levels
This feature demonstrates applied AI reasoning, not just API usage.

☁️ Production-Ready Deployment
The entire portfolio is containerized and deployed on Google Cloud Run, reinforcing real-world, scalable engineering practices rather than static hosting.