From f9e8825c9b8e1b7cf3d50a7bce8927a15184674e Mon Sep 17 00:00:00 2001
From: William Li <willy@MacBook-Pro-10.local>
Date: Wed, 8 Jan 2025 20:53:10 -0800
Subject: [PATCH] Add README with technical skills and past experiences

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+# README-willyli.md
+
+## Introduction
+Hi! I'm William Li, a junior studying Computer Science with a specialization in Systems and AI. I'm passionate about building high-performance computing systems, applying AI to solve real-world problems, and hacking together apps and projects.
+
+
+
+##  **Technical Skills**
+
+I’m experienced in full-stack development, AI/ML, and high-performance computing, with a focus on building end-to-end scalable and efficient software solutions. Proficient in Python, C++, and JavaScript, and have hands-on experience developing full-stack applications using frameworks like Angular, React Native, and Node.js. 
+
+My expertise spans from deploying web applications to implementing AI/ML models with TensorFlow and PyTorch for reinforcement learning and distributed training. Additionally, I have a strong foundation in leveraging cloud platforms like Azure and GCP, and optimizing workflows with Docker and CI/CD pipelines.
+
+
+### **Tools:**
+- **Languages**: C++, Python, CUDA, JavaScript, Java, TypeScript
+- **Parallel Computing:** OpenMP, MPI, CUDA, multi-GPU optimization
+- **AI/ML:** TensorFlow, PyTorch, Reinforcement Learning
+- **Web Development:** Angular, React Native, Node.js
+- **Cloud & DevOps:** Docker, Azure, GCP, CI/CD pipelines
+
+
+---
+
+##  **Professional Experience**
+
+### **Apple (Exploratory Design Group, Summer 2024)**
+- Architected a high-performance computing platform leveraging CUDA and C++ to accelerate physical simulations, achieving an 10x improvement in computational speed.
+- Optimized a parallel compute backend with OpenMP for solving partial differential equations.
+
+### **SLB (Summer 2023)**
+- Developed a full-stack commercial prediction tool integrating Angular and Python, projected to save the company energy costs through improved resource efficiency.
+- Enhanced ML models' recall and accuracy using various deep learning techniques
+
+### **Stanford Nanoelectronics Lab (2023)**
+- Engineered a data pipeline using hyper-vectors and NVIDIA H100 GPUs, achieving large speedup in data processing efficiency.
+- Solved memory bottlenecks in large-scale GPU operations by designing memory-efficient CUDA kernels.
+
+---
+
+##  **Highlighted Projects**
+
+Some of the things I've built include:
+
+
+### **1. Voice-to-Voice AI Therapist (PearVC & OpenAI Hackathon)**
+- Built a React Native app leveraging OpenAI APIs for conversational therapy, managing backend session history with MongoDB Realm for personalized user experiences.
+
+### **2. Parallel Neural Network Training**
+- Designed and implemented distributed training for neural networks, achieving a 250x speedup by combining CUDA-based GPU acceleration and MPI for parallelism.
+
+### **3. FDTD Visualization Tool**
+- Developed a JavaScript-based visualization tool for 3D Finite-Difference Time-Domain simulations with real-time data updates and user interactivity.
+
+
+---
+
+
+
+##  **Goals**
+
+Overall, I am excited to:
+- Drive innovation in software engineering and distributed systems for high-impact applications.
+- Leverage high-performance computing and AI to tackle real-world challenges.
+- Build scalable software products that can provide a tangible impact.
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