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+# About Me
+
+**Name**: Syed Ashal Ali  
+**Email**: ashal@stanford.edu  
+**LinkedIn**: [LinkedIn Profile](https://linkedin.com/in/syed-ashal-ali-bb8383247)  
+**GitHub**: [GitHub Profile](https://github.com/ashal-ali)  
+**Personal Website**: [Website](https://ashal-ali.github.io/Personal-Website/)  
+
+## Education
+**Stanford University**  
+**Degree**: B.S. Data Science (Mathematical & Computational Science Track)  
+**Relevant Coursework**:  
+- Natural Language Processing (NLP)  
+- Computer Systems  
+- Statistical Inference  
+- Differential Equations & Fourier Methods  
+- Linear Algebra & Multivariable Calculus  
+- Probability  
+- Scientific Python  
+
+## Technical Skills
+- **Programming Languages**: Python, C/C++, R, HTML/CSS, MySQL  
+- **Libraries**: Pandas, NumPy, Matplotlib, Scikit-learn, Verilog  
+- **Frameworks**: React, Node.js, Flask, FastAPI, PyTorch, TensorFlow, Streamlit  
+- **Tools**: Git, Google Cloud Platform, Tableau, MATLAB, ImageJ  
+
+## Work Experience
+### **Artificial Intelligence Research Intern**  
+**Stanford AI Lab (SAIL)** | Dec 2023 – Present  
+- Developed a One-Class Classifier anomaly detector using DINOv2 embeddings (74% accuracy).  
+- Integrated multi-modal Vision Language Models to analyze ECG videos, images, and text summaries.  
+
+### **Quantitative Research Intern**  
+**Green Canvas (Stealth Fund)** | Jun 2024 – Sep 2024  
+- Applied SVMs and LSTM networks to optimize trading strategies, increasing returns by 9%.  
+- Conducted signal research for portfolio optimization using regression models and tree-based algorithms.  
+
+### **Machine Learning Research Intern**  
+**Stanford Dept. of Statistics** | Feb 2024 – Aug 2024  
+- Parsed high-dimensional datasets with SQL & Pandas to highlight disease trends.  
+- Formulated indicators of schistosomiasis using Random Forests & XGBoost, reducing error by 6%.  
+
+## Projects
+### **AI Agent-based ASIC Verification**  
+- Integrated supervised & reinforcement learning models in SystemVerilog testbench.  
+- Engineered a scalable debugging tool using LangChain & PyTorch, reducing debugging time by 20%.  
+
+### **Citadel Spring Invitational Datathon (3rd Place)**  
+- Designed predictive frameworks for analyzing oil futures & market data using Pandas & statistical models.  
+
+### **Global Water Charity Automation**  
+- Led a team to develop AI-driven automated device maintenance systems deployed across 230+ communities.  
+
+## Publications and Awards
+- **Publication**: "Diffusion-Based 3D Bioprinting Strategies" (Advanced Science).  
+- **Awards**:  
+  - 1st in the International Academic Biothon (2020)  
+  - 3x National Debating Team Champion (2019-2021)  
+
+## Activities
+- Member of the **Asia-Pacific Entrepreneurship Society** and **Stanford Polo Club**.
+