DEV Community: Svet

Svetlina’s Quest: A Gamified Portfolio

Svet — Tue, 20 Jan 2026 18:18:36 +0000

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

About Me

I’m Svetlina, a lifelong curious engineer and AI enthusiast. My portfolio reflects my journey as a problem-solver, builder, and global thinker — from my early days studying mathematics and computer science, through building software for financial institutions, to exploring AI safety and adversarial prompt engineering.

Rather than a traditional static portfolio, I wanted to turn my professional journey into a game, where each achievement, skill, and milestone is an interactive experience. This gamified approach reflects both my love for technology and my playful approach to storytelling.

Portfolio

I’ve deployed my portfolio as an interactive, scrollable game world. You navigate through five distinct “worlds”, each representing a stage of my career and personal development. Milestones appear as collectible nodes, with hover and click animations that reveal achievements, certifications, and skills.

🌍 The Five Worlds of My Gamified Portfolio are:

🌱 Origins & Foundations

My early years in Bulgaria, where curiosity, mathematics, and computer science laid the groundwork for everything that followed.

⚙️ Engineering Excellence
Telerik & Early Career
The phase where theory met practice — deep software engineering, performance optimization, mentoring, and real-world impact.

🌐 Global Financial Systems
Vizor & Central Banks
Building and leading delivery of complex regulatory systems for central banks across the Bahamas, UK, and Canada.

🚀 Innovation & Leadership
Optum iLab
Driving innovation, agile transformation, and leadership in high-impact enterprise environments.

🧠 AI Red Team & Hackathons
AI Safety
Pushing boundaries in adversarial AI, prompt engineering, and global hackathons — with a strong focus on responsible AI and system resilience.

You can explore it live here (works both on desktop and mobile):

How I Built It

This project blends React, Framer Motion, and TailwindCSS for a smooth, animated, interactive UI. Key elements include:

Gamified Timeline: Each “world” represents a phase of my career. Milestones are clickable and reveal details dynamically.

Animated Character: A fully animated avatar moves through the world, responding to keyboard controls.

Responsive Design: Built to scale from mobile to desktop with flexible layouts.

Fallbacks and Accessibility: Images gracefully degrade with online fallbacks for reliability.

Tech Stack: React, TypeScript, TailwindCSS, Framer Motion, Lucide-React icons.

Google AI Integration: I leveraged AI-assisted prompt generation to implement the application in very little time.
This approach allowed me to combine storytelling, interactivity, and technical skill into a single immersive portfolio experience.

This entire portfolio was built using Google AI Studio and strategic prompting. I leveraged Gemini's capabilities to architect the React component structure, implement the Framer Motion animation sequences, and design the interactive game mechanics that bring the gamified experience to life. Through iterative prompting, I generated the TailwindCSS styling system, crafted dynamic milestone content, and engineered the keyboard navigation logic that enables seamless world traversal. Google AI Studio's rapid iteration capability allowed me to move from concept to fully functional deployment in minimal time, demonstrating how powerful modern AI assistance is for accelerating development without compromising on creativity or technical depth. The entire tech stack—React, TypeScript, Framer Motion, TailwindCSS, and Lucide-React—was synthesized and refined through Google AI Studio prompting, proving that AI-first development can produce polished, production-ready applications.

What I'm Most Proud Of

Gamification of a portfolio: Turning a traditional resume into an interactive adventure is both creative and technically challenging.

Animated and responsive design: Smooth character animation, world transitions, and dynamic milestone reveals.

AI-enhanced storytelling: Using AI tools to generate milestone content and skills descriptions allowed me to focus on design while ensuring clarity and engagement.

Technical achievements: Handling large scrollable “worlds”, dynamic animations, and interactive state management in React while keeping performance smooth.

Immersive experience: Every element — color-coded worlds, glowing achievements, skill bars — is designed to make exploration fun and informative.

I’m excited to share a portfolio that demonstrates both my technical abilities and my creative approach to showcasing them.

From Dev to PM to Multimodal Explorer: My Gemini Challenge Entries

Svet — Mon, 08 Sep 2025 10:09:36 +0000

Hey everyone! 👋

I'm Svetlina—a former developer turned program manager who still sneaks off to build things when no one's looking. I recently dove into the Google AI Studio Multimodal Challenge and couldn’t resist exploring how Gemini’s capabilities could be shaped into tools that help us think, move, and care a little smarter.

Here are the three applets I submitted (yes, I got carried away 😅):

🔹 The Algorithmic Conscience
A real-time ethical auditor that flags biases, logical fallacies, and groupthink—like a conscience with a PhD in philosophy and a knack for interrupting boardroom nonsense.

https://dev.to/svet_62385e9/the-algorithmic-conscience-a-real-time-ethical-and-cognitive-auditor-3165

🔹 Real-Time Fitness Form Analysis
An AI-powered posture coach that analyzes movement and offers corrective feedback. Because your spine deserves better than whatever that last squat was.

https://dev.to/svet_62385e9/real-time-fitness-form-analysis-3agn

🔹 Gemini’s Paw-sitive Insight
An empathetic assistant for pet wellness that detects signs of discomfort or illness from photos and videos. Basically, a vet with infinite patience and zero judgment.

https://dev.to/svet_62385e9/geminis-paw-sitive-insight-an-ai-assistant-for-your-pets-health-5186

Each one uses Gemini’s multimodal magic in a different way—and I’d love to hear what you think! Feedback, questions, or pet pics welcome 🐾

The Algorithmic Conscience: A Real-Time Ethical and Cognitive Auditor

Svet — Sun, 07 Sep 2025 10:30:10 +0000

This is a submission for the Google AI Studio Multimodal Challenge

What I Built

The Algorithmic Conscience is a pioneering AI system designed for high-stakes professional environments like boardrooms, legal negotiations, and crisis management meetings. It acts as a silent, invisible participant that monitors for and highlights systemic cognitive and ethical failures in real time. It is a proactive tool for human augmentation, not replacement.

In a world where even a single flawed decision can have immense consequences, this project provides an essential safety net. It addresses fundamental human vulnerabilities like groupthink, logical fallacies, and emotional biases by providing a clear, unbiased, and objective view of the conversation as it unfolds.

This project's impact is transformative. It turns a chaotic, emotion-driven discussion into an organized, data-supported decision-making process. By revealing our own biases and flaws, the Algorithmic Conscience empowers us to make smarter, more ethical, and ultimately better decisions in high-stakes situations. It represents a fundamental leap forward in what is possible when AI is used not as a replacement for human intellect, but as its silent, all-seeing partner.

Demo

Deployed Applet: https://the-algorithmic-conscience-823453837830.us-west1.run.app/

Video Demo:

Screenshots:

How I Used Google AI Studio

My project's power and innovation are a direct result of leveraging the cutting-edge multimodal capabilities within Google AI Studio. I used the platform as my central hub, where I built and tested the entire system. At its core, I chose Gemini for its advanced reasoning and native multimodality, which allowed me to build a cohesive agent rather than a collection of separate tools.

This seamless fusion of all three modalities—audio, video, and text—is what truly makes the project unique. I used a code assistant within Google AI Studio to help generate and refine the underlying code for these complex components, which allowed me to focus on the core innovation and integration.

Multimodal Features

In the context of the project I described, the multimodal features are:

Audio: To not only transcribe the conversation but also to analyze cues like tone, pitch, and cadence.
Video: To analyze visual data like body language, facial expressions, and group dynamics.
Text: To process information from documents and presentations.

The power of this system comes from the fusion of these three modalities. For example, a system that only analyzes text might not catch a sarcastic remark, but by also processing the tone of the audio and the speaker's facial expression from the video, a multimodal system can understand the true meaning and context.

Real-Time Fitness Form Analysis

Svet — Sat, 06 Sep 2025 14:23:14 +0000

This is a submission for the Google AI Studio Multimodal Challenge

What I Built

I built an AI Fitness and Form Coach, a personal trainer app that uses multimodal AI to ensure users have proper form during exercises. It solves the problem of unsupervised training, which often leads to injury or ineffective workouts. The app provides a truly interactive experience with two modes of operation: a real-time live webcam session for immediate coaching, and an upload mode for a pre-recorded video. By analyzing the user's form and listening to their breathing, the app provides personalized, voice-based feedback, effectively bringing the experience of a personal coach to the user's home. In addition, after the real-time feeback, it provides a detailed post-workout analysis.

Demo

Deployed Applet: https://ai-fitness-and-form-coach-506537616410.us-west1.run.app/
Video Demo:
Screenshots:

How I Used Google AI Studio

I used Google AI Studio as the central hub for this project, from prototyping to deployment. It allowed me to rapidly develop the application's frontend and integrate it with the Gemini API. The ability to define a detailed System Instruction was crucial for shaping the AI's persona as an expert, encouraging, and safe personal trainer.

The most critical feature of Google AI Studio for this project was the seamless Cloud Run deployment. This enabled me to transform my prototype into a live, scalable web service that can handle video and audio streaming, without the complexity of managing a separate backend infrastructure.

Multimodal Features

My app is a robust demonstration of Gemini's multimodal capabilities, leveraging a sophisticated combination of three key features to create an innovative and practical user experience:

Real-time Video Analysis (Gemini 2.5 Pro/Flash): The app uses the webcam to capture a continuous video stream of the user's workout. The AI analyzes this visual data in real time, identifying key body parts and assessing joint angles and posture to determine the quality of the user's form. This core functionality is what enables the immediate, on-the-spot coaching.

Audio Understanding (Live API): The app uses the device's microphone to listen to the user during their workout. The Live API processes the audio stream, understanding the rhythm of their breathing, grunts of exertion, or even a verbal request. This provides an additional layer of data to the AI's analysis, allowing it to give more informed and empathetic feedback.

Real-time Voice Feedback: Based on the AI's multimodal analysis, the app synthesizes a human-like voice to provide real-time coaching. This instant, hands-free, and interactive feedback loop is a core innovation that enhances the user experience by providing a dynamic and responsive coaching session that feels like a human interaction.

Gemini's Paw-sitive Insight: An AI Assistant for Your Pet's Health

Svet — Sat, 06 Sep 2025 12:32:03 +0000

This is a submission for the Google AI Studio Multimodal Challenge

What I Built

I built AI Veterinary Assistant, an empathetic and interactive tool designed to help pet owners understand their pet's condition before a vet visit. The app goes beyond a simple information-gathering tool by providing a preliminary analysis, including potential differential diagnoses and immediate, actionable recommendations to alleviate discomfort. It uses multimodal AI to synthesize a pet's image/video, the owner's observations, and a live voice conversation into a clear, preliminary report. The goal is to empower pet owners with information and a sense of preparedness, turning a stressful situation into a more manageable one.

Demo

Deployed Applet: https://ai-veterinary-assistant-162545858215.us-west1.run.app/
Video Demo:
Screenshots:

How I Used Google AI Studio

I used Google AI Studio as the core platform for both development and deployment. Its intuitive environment allowed me to quickly prototype the multimodal and conversational flow. I implemented a detailed System Instruction to guide the Gemini model. The instruction prompts the model to not only provide a summary of symptoms but also to generate a list of likely diagnoses and safe, immediate care recommendations.

The seamless integration with Cloud Run was instrumental. By using the "Deploy app" feature, I was able to transform my prototype into a live, publicly accessible web service without having to build and manage a separate backend. This allowed me to focus on the frontend user experience and the core AI logic, including the critical disclaimer that accompanies every result to ensure responsible use.

Multimodal Features

This app is a robust demonstration of Gemini's multimodal capabilities, combining three key modalities to deliver a unique user experience:

Image and Video Analysis: The applet accepts visual input (an image or video of the pet) and uses Gemini to analyze it for visual cues. For example, it can identify a limp, a rash, or changes in behavior, which are then used as part of the diagnosis process.

Text Understanding: The AI synthesizes the owner's written observations and notes to understand the history and context of the pet's condition. This text input is crucial for providing a detailed, personalized diagnosis.

Real-time Voice Interaction (Live API): This is the core interactive component. The pet owner can have a natural, real-time conversation with the AI assistant, which acts as a guide. It listens, transcribes, and uses the live dialogue to ask clarifying questions and build the most accurate preliminary report possible.

This combination of image, text, and voice interaction allows the AI to provide a comprehensive and deeply personalized assessment, making a stressful situation more manageable and empowering the pet owner with information they can use during their vet visit.