Aidan abccodes

I started a Master's in Computer Science at UCLA!
Grader for the course Design and Use of Programming Languages
Relevant Courses:
- Graduate LLM Inference on Edge Devices. Snapdragon Edge LLM Inference.
  - Quantization, pruning, distillation, KV cache compression, state-space models, hierarchical memory transformers, sparse, linear, flash attention, MOE, speculative decoding, and hardware–software co-design for edge deployment
- Graduate Software Engineering. Fuzzing Exploration.

Graduated from San Francisco State University with a B.S. in Computer Science and a minor in Computing Applications!
Instructional Teaching Assistant for Data Structures for Data Science Application Development
Collaborated with UCLA Design Media Arts to develop Chat Wrapped
Relevant Courses:
- Operating Systems. Relevant topics: Processes and threads, synchronization, CPU and memory management, file systems, device drivers, and real-time vs. multi-tasking systems
  - Projects:
    - File System
    - Device Driver
    - Buffered I/O Read
    - Multi-Threaded Data Processing
    - Shell with Pipes
- Graduate Human Computer Interaction
  - User-centered design, research methods, prototyping, and evaluation of usability

Instructional teaching assistant for the courses, an Interdisciplinary Approach to Computer Programming, Machine Learning and Data Science
Relevant Courses:
- Database Systems
  - Relational database design and implementation, including ER/EER modeling, SQL, normalization, indexing, query optimization, transactions, and Java/JDBC integration
  - Designed a social media relational SQL database with 50 entities covering users, posts, chats, and ads, incorporating performance, backup, and AES-256 security standards
- Software Engineering. Review Platform.
- Analysis of Algorithms
  - Algorithm design and analysis, recursion, divide and conquer, backtracking, dynamic programming, greedy algorithms, and graph algorithms
- Graduate Artificial Intelligence
  - Heuristic algorithms, machine learning, knowledge representation, and neural networks

I attended Treehacks, Stanfords hackathon. My team and I built an AI dermatologist platform. Won first hackathon, 2nd for a prize track (Convex).
Won 2nd place at San Francisco State University, College of Computer Science and Engineering research competition. Created a semantic segmentation algorithm for land cover using satellite imagery.
Relevant Courses:
- Software Development
  - Object-oriented programming, software design, debugging, testing, user interface design, and software maintenance
- Data Science for Image Analysis
  - Medical imaging, deep learning, CNNs, transfer learning, model evaluation, loss functions, performance metrics, and ML implementation on real data
- Software Engineering Ethics

Received year-long Genentech scholarship
Open-Source Internship at Codeday. Contributed to The Open Energy Dashboard.
Attended hackathons at Stanford, Berkeley, and UCLA
Created a platform for an education business that connected students and tutors. Worked with databases, cloud functions, authentication, and storage using TypeScript and Firebase.
Relevant Courses:
- Machine Learning
  - Supervised machine learning, model evaluation, data preprocessing, pandas, matplotlib/plotnine, and clustering
- Linear Algebra
  - Linear systems, matrix operations, vector spaces, eigenvalues/eigenvectors, orthogonality and orthogonalization
- Probability and Statistics
  - Data analysis, probability distributions, confidence intervals.
- Programming Methodology
  - C++ data structures and algorithms.
- Machine Structures
  - Digital logic, data representation, assembly programming, CPU organization, memory systems, and handling interrupts.
- Software Web Development
  - Client/server programming, user input processing, database integration, and web applications
- Physics 2
  - Electricity and magnetism, covering electric and magnetic fields, circuits (DC and AC), electromagnetic induction, waves, and Maxwell’s equations

My first software engineering internship at a Web3 social media startup called Huddln
Worked as a Software Engineer freelancer. The main project I worked on was full-stack development of a decentralized investment (DAO) platform.
- Relevant technology: Solidity, Firebase, React, and JavaScript.
Relevant Courses:
- Data Structures and Algorithms
  - Lists, stacks, queues, trees, heaps, graphs, recursion, iteration, hash tables, and Big O analysis
- Discrete Mathematics
  - Fundamentals of set theory, logic, functions, permutations, proof techniques, graph theory, and infinite sets with applications in computer science
- Calculus 2
  - Integration, analytic geometry, polar coordinates, vectors, improper integrals, and sequences and series

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