CS & Data Science · Los Angeles, CA
Building intelligent systems at the intersection of machine learning, high-performance computing, and real-world impact
I'm a Computer Science and Data Science student based in Los Angeles with a strong interest in applied machine learning, NLP, and GPU-accelerated computing. I enjoy taking problems from raw data all the way to working models — and understanding what's happening under the hood.
Currently seeking a Data Science internship for Summer 2026 where I can contribute to real-world ML pipelines, work with large-scale data, and keep learning fast.
Languages & Core
Python SQL C++ Bash
Machine Learning & AI
scikit-learn PyTorch TensorFlow Hugging Face NLTK spaCy
Data & Visualization
pandas NumPy Matplotlib Plotly Tableau Seaborn
High-Performance Computing
CUDA cuDNN GPU Optimization
Cloud & Tools
AWS GCP Azure Docker Git Jupyter
AI-powered carbon footprint decoder that transforms receipts, bills, and daily activities into actionable environmental impact reports. Accepts text and image input via multimodal pipeline.
Python Computer Vision NLP Generative AI
Custom CUDA kernels for accelerating numerical Python workloads — benchmarked against NumPy/SciPy for speedup analysis.
CUDA C++ Python GPU Computing Jupyter
- 🔍 Actively applying for Data Science & ML internships — Summer 2026
- 📖 Deepening knowledge in LLMs, RAG pipelines, and distributed training
- 🛠 Building projects that connect real datasets to deployable models
Open to internship opportunities · Let's connect → LinkedIn