I'm a Computer Science student at Saarland University, Germany, passionate about architecting production-grade systems at the intersection of AI, security, and developer experience. My work focuses on building intelligent platforms that solve complex problems through clean architecture, thoughtful design, and cutting-edge technology.

Currently exploring AI safety tooling, adaptive security systems, and high-performance SaaS platforms. I thrive in environments where engineering rigor meets rapid innovation.

🎓 Universität des Saarlandes, Germany
Bachelor of Science in Informatik (Computer Science)
Current Student

Relevant Coursework:

• Programming 2 (Passed)
• Advanced Algorithms & Data Structures
• Database Systems & Architecture
• Software Engineering Principles
• Artificial Intelligence & Machine Learning
• Computer Security & Cryptography
• Mathematical Foundations (Maple, LaTeX)

Adaptive quiz generation with AI-powered mastery tracking

An intelligent interview preparation platform that uses LLM-driven quiz generation combined with subtopic mastery analytics. Features include ordered question flows, instant retry workflows for missed concepts, and privacy-first local session storage.

Tech Stack:

• Next.js 16 (React 19, App Router) + TypeScript
• Groq AI (llama-3-8b-instruct)
• Tailwind CSS 4
• Express + Mongoose (optional persistence)
• MongoDB Atlas

Key Features:

• AI-generated structured quizzes with canonical subtopic ordering
• Real-time coverage tracking and mastery analytics
• Keyboard-driven interface for power users
• Stats dashboard with performance tiers and sparklines
• Focus-only retry system (regenerate only missed subtopics)

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Defensive security testing for untrusted AI models

Built for the Apart Research Defensive Acceleration Hackathon. AI Mesh enables rapid adversarial testing of untrusted AI models in 10-20 seconds using real-time threat intelligence and AI-powered risk assessment.

Tech Stack:

• Next.js 16 + TypeScript
• Groq AI (llama-3.1-8b-instant)
• Server-Sent Events for real-time updates
• Tailwind CSS

Key Features:

• Real-time threat intelligence (r/ChatGPTJailbreak, HackerNews)
• Automatic adversarial prompt generation
• Multi-layer risk assessment (heuristic + AI judge)
• 10-20 second comprehensive security reports
• OpenAI-compatible model registry

Impact:

• Bridges gap between threat intelligence and model evaluation
• Enables informed deployment decisions for untrusted models
• Maintains up-to-date awareness of emerging jailbreak techniques

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Linear-inspired project management with real-time analytics

A modern, production-ready SaaS platform for high-performance teams. Features intelligent insights, beautiful dark UI, and enterprise-grade architecture.

Tech Stack:

• Frontend: Next.js 16, React 19, TypeScript, Tailwind CSS 4
• Backend: Node.js, Express, TypeScript, Prisma ORM
• Database: PostgreSQL 16
• Storage: AWS S3 (presigned URLs)
• Auth: JWT + bcrypt
• Infrastructure: Docker, Terraform (AWS ECS/Fargate ready)

Key Features:

• Smart task system with Kanban boards and drag-and-drop
• Real-time analytics and performance trends
• AI-powered workflow optimization recommendations
• Secure file attachments with S3 integration
• Beautiful Linear-inspired ultra-dark theme
• Fully responsive with smooth animations

Architecture Highlights:

• RESTful API with middleware-based auth
• Prisma migrations for schema versioning
• AWS S3 presigned URLs for secure file access
• Docker Compose for local development
• Terraform IaC for cloud deployment

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Shortest path calculation with OpenStreetMap integration

• Designed Java application to calculate optimal routes between coordinates
• Implemented support for intermediate waypoints and stops
• Integrated OpenStreetMap (OSM) API for navigation visualization
• Optimized pathfinding algorithms for real-world geographic data

Game implementation with intelligent AI algorithm

• Developed complete 2048 sliding puzzle with customizable grid sizes
• Implemented tile merging mechanics and score tracking
• Created AI algorithm capable of solving game in under 5 seconds
• Applied minimax and expectimax algorithms for optimal play

Google's ranking algorithm from scratch

• Implemented simplified version of Google's PageRank in C
• Used matrix operations to model web page link structures
• Calculated page importance scores based on link topology
• Optimized for performance with large-scale web graph processing

Computer vision for image boundary identification

• Developed edge detection algorithm for grayscale image processing
• Implemented gradient-based boundary detection techniques
• Enhanced image analysis capabilities for computer vision applications
• Optimized for real-time processing of high-resolution images

Exploring:

• Advanced AI safety mechanisms and defensive acceleration tooling
• Real-time threat intelligence aggregation and enrichment
• Adaptive security systems with automated model testing
• Performance optimization for LLM-driven applications
• Privacy-first analytics architectures

Learning:

• Advanced Terraform patterns for multi-cloud deployments
• WebSocket integration for real-time collaborative features
• Advanced Prisma optimization techniques
• Edge runtime strategies with Next.js

All my featured projects are open source and fully documented. I believe in building in public and sharing knowledge with the developer community.

Contribution Philosophy:

• Write clean, self-documenting code
• Comprehensive inline comments for learning
• Detailed README files with architecture explanations
• Production-ready patterns and best practices

I'm always interested in discussing:

• AI safety and defensive acceleration initiatives
• System architecture and scalability challenges
• Full-stack development best practices
• Open source collaboration opportunities

Reach out:

• Email: tush.work10@gmail.com
• LinkedIn: linkedin.com/in/tushc
• GitHub: @ticsture

Available for internships, research collaborations, and open-source contributions.