Irvin Tancioco



Profile


Electrical Engineering and Computer Science Student


itancio@berkeley[dot]edu



I am a recent EECS graduate at the Universtiy of California, Berkeley (Class 2023). I am interested in designing experiences using technology. Experience: . Lead Teacher Aide: City College of San Francisco (8 months). Education: University of California, Berkeley: (EECS, Class 2023). City College of San Francisco: Associates Degree in Computer Science and Mathematics. Pro-bono: Webmaster / Web Designer.


Tools



Code


End-to-End Encryption File Sharing

Programming Language: Golang

Project Description: COMING SOON. This is an end-to-end encryption file sharing system. Implemented 8 user functions: initUser, GetUser, user.storeFile, user.loadFile, user.appendFile, user.createInvitation, user.acceptInvitation, user.revokeAccess.

github link </p>

Artificial Intelligence: Pacman

Programming Language: Python

Project Description: COMING SOON.

github link </p>

Sokoban

Programming Language: C++

Project Description: This is a c++ version of the classic Sokoban game. I worked on the backend implementation of the game and wrote unit tests. One of the function move(x, y) uses a breadth first search that moves the player to a valid destination optimally. github link | play game

Cookie Monster

Programming Language: Java

Project Description: This is a game that generates a 2D world and player interaction with collectible items. I worked specifically on graphical user interface (GUI) using stddraw methods. For example, when user hovers to an element on the board, a description of that element will appear at the bottom right of the screen. github link | demo video

Gitlet

Programming Language: Java

Project Description: A short program that mimics the functionality of git's version control. I implemented commands needed to initialize, to add, to commit, to remove, to view log and status, to checkout, to branch, and to merge files. github link

Ants vs. Some Bees

Programming Language: Python

Project Description: The goal of the game is to protect the queen ant from the invasion of the bees. I am responsible for completing the missing methods for different kinds of ants. github link

Werewolf

Programming Language: C++

Project Description: The game involves a player and werewolf with a random-generated world. The player can collect items to defend and to escape werewolf. I am responsible for completing the functions for file persistence, interactivity of the player, werewolf, teleportation functionality of the werewolf. github link


Make


Sixt33n

Project Description: This is a voice controlled car project for 16B class at UC Berkeley. coming soon







Balancing Robot

Project Description: (Based on midhun_s self-balancing robot). This bi-wheeled robot resembles an inverted pendulum with self correcting stability measurements. The motivation for this project is to get experience with building system from schematics and to learn how the feedback loop model makes motor adjustments from the input measurements of the accelerator-gyroscope module. github link


Design


Cal-Central Redesign

Project Description: This is a user experience design mock up for UC Berkeley's student portal, CalCentral. We identify some of the design flaws and apply the Gestalt's principle in design (similarity, proximity, continuity) and user-experience design principles (consistency, hierarchy, user control and freedom) behance link

Fruitful Mind

Project Description: COMING SOON figma link





Eco-text

Project Description: The primary goal of the project is to respond to the devastating impact of fast fashion industries in producing textile waste, such as microplastics from synthetic fibers. Our team utilizes the design methodology: understanding and empathizing with the user; defining a problem statement; ideating ideas through abstract laddering, creative matrix; prototyping product and user testing. Eco-tex link

Coursework

  • CS188: Artificial Intelligence This is an introduction course in understanding the fundemantal concepts of underlying design models in AI, with emphasis in probabilitic and decision-making models. The projects build upon the course core concepts of using inferences, reward and utility functions to draw decisions in an observed and unobserved environments. Topics covered: Bayes Net, Markov Decision Processes, Reinforcement Learning, Perceptron, etc.
  • CS161: Computer Security The course focuses on foundational ideas in cyptography (encryption, authentication, hash functions, and cryptographic protocols), Network and software securities. The projects involve infiltrating vulnerabilities in operating systems (buffer overflows, canary leaks, off-by-one, integer memory and formatting vulnerabilities), designing an end-to-end encryption file sharing system and breaking webserver security.
  • CS170: Algorithms and Intractable Problems The course covers design and analysis of graph algorithms, greedy algorithms, dynammic programming, linear programming, Fourier transforms, complexity and NP-completeness.
  • DESINV 25: UX Design This studio course introduces students to design thinking and the basic practices of human-centered interaction design that includes user research, concept generation, low to high fidelity prototypes and persona creation.
  • DESINV 15: Design Methodology This course teaches techniques for observing and noticing, framing and reframing problems, generating ideas and designs, and conducting experiments and tests.
  • CS195: Software Development practicum: The class fosters a collaborative project applying the different aspects of software development.
  • EECS127: Optimization models in Engineering: This is an introduction to optimization models and their applications in machine learning, linear programming and duality.
  • EE120: Signals and Systems
  • CS61ABC: Structure and Interpretation of Computer Programs, Data Structure and Machine Architecture: Abstraction, Handling Complexity and Data Structures. The class aims to expose students to problem solving techniques in improving the efficiency and handling complexity of computer programs. The class focuses in understanding machine architecture and assembly. The class also teaches the basics of computer languages (python, java, C) to demonstrate understanding of the class's core learning objectives.
  • CS16AB: Designing Information Devices and Systems: Linear Algebra, Gram-Schmidt, Eigenvalues, Least Squares, SVD (Single Value Decomposition), PCA (Principal Component Analysis). The objective of the class is to introduce students to the basics of linear algebra and how this foundational mathematics drive the basic concept of modeling and optimization in machine learning.
  • CS70: Discrete Mathematics and Probability Theory: Proofs, Counting, Probability, Discrete and Continuous Distributions, Markov Chain
  • Engineering Lab: Reading schematics, debugging circuits, and using multimeter, soldering and building simple circuitry.