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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**.