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@bhagath
App Concept
A mysterious, interactive puzzle game where users must “earn” access to your portfolio by proving their creative instincts. The experience is playful, animated, and weirdly dramatic — like a mix between an escape room and a designer’s dream/nightmare.
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User Flow
1. Onboarding Screen:
• Mysterious parchment background.
• Text: “You’ve been summoned by the Secret Link Society. Do you dare begin the trial?”
• Button: “Begin the Ritual”
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2. Puzzle Rounds (3–5 total):
Each round is themed, interactive, and slightly absurd.
Example Puzzles:
• The Font of Destiny: Pick the font that “embodies confidence and charisma” — silly options like Comic Sans, Papyrus, Satoshi, Inter.
• Contrast Conundrum: Drag the right combo of background + text color to meet WCAG AA contrast.
• Hierarchy Havoc: Reorder UI elements by visual importance.
• The Loading Spinner Oracle: Spin a wheel to get your fate — no skill, just suspense.
• Hotspot Hunt: Hidden clickable elements on a “scroll” that hint toward design philosophy (e.g. “Look closer… that’s where the magic lives”).
Each correct answer gives the user a Glyph Fragment.
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3. Final Ritual:
• Drag-and-drop interface: user must place all glyphs in a glowing summoning circle.
• When completed, a dramatic flash, shaking screen, and spooky voice:
“The seal is broken. You are now worthy.”
CTA appears:
“Enter the Sacred Archive” → Opens your portfolio link
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Design Prompt (for Figma or Dev Build)
Title: The Secret Link Society – Mini Web App
Goal: Create a mini web game that reveals Bhagath’s portfolio in a quirky, fun, puzzle-based way.
Core Screens:
• Onboarding / Intro animation
• 3–5 Puzzle Interactions (can reuse core layout)
• Ritual Completion screen
• Portfolio Reveal CTA
Style Direction:
• A mix of dark academia meets modern UI — parchment textures + clean sans-serifs.
• Subtle glow effects, micro animations, and eerie sound effects.
• Keep transitions fun and dramatic.
@uuuopop
An app where you choose to login as one of 5 magical characters: Yura, Riza, Lesha, Danylo, Roma. Then these characters are given a path of checkpoints, where each step is a question related to the wo","prompt":"An app where you choose to login as one of 5 magical characters: Yura, Riza, Lesha, Danylo, Roma. Then these characters are given a path of checkpoints, where each step is a question related to the world of AI, such as prediction of AI development, questions about daily usage, etc. designed to explore their views on the AI development and role of the AI in programmers and other people's lives. In order to pass forward each member needs to give an answer from the predefined options or a small reaction, like emoji. Everyone should be able to see everyone else's answer and see who is yet to answer so they can motivate the missing member to give his answer. Make it game-like in the lore of magical little LOTR-like world.
@davidnetland
Create a Poker Pre-Flop Trainer app that visually simulates a poker table and cards, helping players learn optimal pre-flop decisions by position. Players are given a hand and must choose Raise, Fold, or Call based on correct pre-flop ranges. Use the following ranges: UTG (AA, AKs, AQs, AJs, ATs, A5s, AKo, KK, KQs, KJs, KTs, AQo, QQ, QJs, QTs, JJ, JTs, TT, 99, 98s, 88, 77), UTG+1 (same as UTG + T9s), UTG+2 (same as UTG+1 + T8s), LoJack (wider, adding A9s–A6s, K9s, Q9s, J9s, 97s, 76s, 66, 65s, 55), HiJack (adding A5s–A2s, K8s, 86s, 75s, 54s, 44), Cutoff (adding 85s, 74s, 63s, 53s, 43s), Button (adding 73s, 32s, 33), Small Blind (widest, including all suited Ax, Kx, Qx, most suited connectors, and 22). The app should feature Training Mode (study ranges), Quiz Mode (test decisions with correct/wrong feedback), and Challenge Mode (timed drills), with sleek, intuitive UI, real-time explanations, and progress tracking for an engaging learning experience.
@sally30420
Sally (Yu Hsuan) Chung
UX Designer | Product Designer
A young UX and Product designer with a seasoned perspective, ready to
collaborate, solve problems, and create impactful designs.
www.sallychungdesigns.com
[email protected]
912-419-6935
WORK EXPERIENCE
UX Designer, Immer Intern | Jun 2024 - Sep 2024 | Remote (New York, NY)
B2B, Web, App, SaaS, Responsive Design
- Designed SaaS and B2B web and app solutions for a venue rental platform, focusing on user flow and interface design.
- Streamlined interfaces based on research findings and the company's design system, visualizing results to enhance
usability and consistency.
UX Designer, The Fanrod Group Intern | Dec 2021 - Mar 2022 | New York, NY
B2C, App, Design System
- Modified a B2C financial app to align with industry standards, enhancing usability and overall user experience for users.
- Analyzed client needs and optimized interface designs based on user workflows, increasing efficiency and accessibility.
Product Designer, Taiwan Design Research Institute Intern | Jul 2018 - Dec 2018 | Taipei, Taiwan
User Research, Customer Experience
- Led user research efforts through 100+ interviews and surveys, gathering insights to inform retail design decisions.
- Revamped shopping routes and display arrangements using data analytics, boosting key products sales by 11%.
PROJECT EXPERIENCE
UX Design Lead, Deloitte X SCADPro Sep 2024 - Nov 2024 | Savannah, GA
Analytics, Leadership, Prototyping, Cross-functional Collaboration
- Spearheaded a 6-person UX team within a 16-member project, redesigning an airport security app to improve usability.
- Increased user confidence by 66% in airport security preparation through research-driven design enhancements.
- Presented to 15 stakeholders, earning high praise and client satisfaction.
EDUCATION
Savannah College of Art and Design Sep 2022 - Mar 2025 | Savannah, GA
Master of Arts in Interactive Design (GPA 4.0 / 4.0)
Academy of Art University Sep 2021 - Jun 2022 | San Francisco, CA
Master of Arts in Interaction & UI/UX Design
Tatung University Sep 2015 - Jun 2019 | Taipei, Taiwan
Bachelor of Design in Industrial Design
SKILLS
Design
UX/UI Design, Web Design, App Design, Product
Design, Wireframing, Prototyping, User Testing, Design
Systems, Problem Solving
Technical
Figma, Sketch, Adobe XD, Photoshop, Lightroom,
InDesign, Illustrator, Premiere, After Effects,
HTML/CSS/JavaScript, Google Analytics, Microsoft Office
@moose
Resume profile with this information : Education
Carnegie Mellon University Pittsburgh, PA
B.S. in Mathematics, Minor in Computer Science Expected May 2025
• GPA: 3.97/4.0
• Relevant Coursework: Distributed Systems, Computer Systems, Data Structures and Algorithms, Web
Application Development, API Design and Implementation, Engineering Data Intensive Scalable Systems, Computer
Security, Machine Learning
Work Experience
Research Assistant CMU Human Computer Interaction Institute Sep. 2024 – Present
Pittsburgh, PA
• Designed logistic regression models with customized loss functions in TensorFlow to mitigate algorithmic bias in
educational datasets
• Improved fairness metrics (ABROCA scores) by 15%, directly reducing disparities in predictive outcomes for
underrepresented groups
Software Engineering Intern May 2024 – Aug. 2024
Nokia Sunnyvale, CA
• Automated network testing workflows with Python and Tcl scripts, streamlining the Network Infrastructure team’s
transition to a new simulation system
• Diagnosed and resolved compatibility issues with MPLS and TCP protocols in a system used by 100+ engineers,
improving system reliability and enabling seamless integration with new network configurations
Software Engineering Intern May 2023 – Aug. 2023
Lockheed Martin Space Littleton, CO
• Built a signal processing system in Python and MATLAB to isolate satellite signals from background noise, using
clustering to improve signal differentiation
• Defined performance metrics to measure algorithm accuracy in signal differentiation, achieving a 95% accuracy rate
across signal types, enhancing reliability for navigation and communication applications
Peer Tutor CMU Student Academic Success Center Aug. 2022 – Present
Pittsburgh, PA
• Tutored over 250 students in Functional Programming and Data Structures & Algorithms, providing personalized
guidance and adapting teaching methods based on individual learning goals
Project Experience
Mini Social Platform Spring 2025
• Currently building a nano-blogging web application with user authentication, profile management, and real-time
interactions using Django, SQLite, AJAX, and HTML/CSS
• Implementing secure login/logout functionality and designing dynamic UI components for real-time updates via
AJAX without full-page reloads
Raft Protocol Fall 2024
• Implemented the Raft consensus protocol in Go to enable fault-tolerant distributed state replication, ensuring data
consistency and system reliability across a network of nodes
• Designed and optimized leader election, log replication, and safety mechanisms to ensure high availability, fault
tolerance, and data integrity in a distributed environment
Course Scheduling Optimization Fall 2023
• Built a linear programming model using Gurobi to efficiently allocate college courses, taking into account course
hours, prerequisites, and student preferences to minimize student workload across a large set of courses
• Improved runtime efficiency by implementing Python-based heuristics, reducing model execution time from 24 hours
to 30 minutes
Skills
Programming Languages: Go, Python, C, HTML/CSS, JavaScript, R, Standard ML, SQL
Tools: Git, GitHub, VS Code, RStudio, Unix/Linux, Docker, Kubernetes
Libraries/Frameworks: pandas, NumPy, PyTorch, TensorFlow, Djang
@velanox
Create an AI-powered problem-solving app designed to assist users in tackling real-world challenges efficiently. The app should feature an intuitive interface where users can describe their problems in detail, whether personal, academic, professional, or technical. Using advanced AI algorithms, the app should analyze the issue, break it down into manageable components, and provide step-by-step solutions or multiple strategies tailored to the user’s specific needs. The app should incorporate interactive tools such as mind maps, decision trees, and brainstorming templates to enhance problem-solving. Additionally, it should include collaborative features, allowing users to seek input from experts, mentors, or a community of problem-solvers. A machine learning system should continuously improve recommendations based on user feedback and past interactions. The app should also offer integration with external knowledge sources, such as research papers, online courses, and expert databases, to provide in-depth insights. The design should prioritize user engagement through gamification, achievements, and challenges that encourage continuous learning and creative thinking. Security and privacy must be top priorities, ensuring encrypted data storage and user anonymity if required. The overall goal is to create a smart, adaptable, and interactive platform that empowers users to think critically, innovate, and find effective solutions to diverse problems.
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