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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

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vatssavvya/README.md

👋 Hello There!

I am a CS student at UCLA's Henry Samueli School of Engineering, class of 2030, pursuing a minor in math, originally based in the Greater NYC area.

🧠 About Me

My focus is machine learning, AI, and software systems. I've conducted research on deep learning models for medical imaging at an Ivy League university and built AI agents with real-time web querying capabilities. Long-term, I'm working toward backend and infrastructure engineering at scale.

I have several years of experience in robot software development with FRC Team 10366 (Java), and I've participated in Competitive Programming through WWPPC and USACO.

I am currently seeking opportunities in software engineering or quantitative finance, with a strong interest in roles at the intersection of mathematics and systems-level problem solving.

💻 Languages & Tools

Languages: Python, Java, C, C++, Lua, HTML, CSS, JavaScript

Tools/Libraries: TensorFlow, PyTorch, Keras, Pydantic, Jupyter, Pandas, NumPy, scikit-learn

🔍 Skills/Interests

Software Engineering & Development, Machine Learning & AI Agents, Algorithms & Quantitative Methods, Game Development, Robotics, Cybersecurity

Feel free to look through my repositories and contact me through my email!

LinkedIn

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  1. pokemon-vgc-cts-predictor pokemon-vgc-cts-predictor Public

    An open-source heuristic prediction engine for Pokémon Champions (VGC) Closed Team Sheet (CTS) laddering to infer opponent movesets, items, and team selection.

    Python 2

  2. Enhancing-Performance-GAN-Paper Enhancing-Performance-GAN-Paper Public

    Code and results for a paper on early melanoma skin cancer detection. Implements and compares WGAN, RaLSGAN, and CycleGAN to correct class imbalance in dermatological image datasets, with a VGG16-b…

    Jupyter Notebook 2 2

  3. Skin-Cancer-Classification-Models Skin-Cancer-Classification-Models Public

    My Research Project for classification of Skin Cancer Lesions. This project builds on earlier work benchmarking CNNs, RNNs, XGBoost, and EfficientNetV2 on lesion image data, and ties into published…

    Jupyter Notebook 2

  4. Self-Learning-AI-Agent Self-Learning-AI-Agent Public

    A Python-based AI agent that acts as a research assistant. It takes a user query, searches the web and Wikipedia for information, structures the findings into specific categories, and writes the ou…

    Python 2

  5. neural-network-ground-0 neural-network-ground-0 Public

    A neural-network I built from scratch in order to gain a better understanding of the mathematics and theoretical aspects behind popular image analysis tools and LLMs.

    Python 2

  6. anvikumar101/Improving-Multilevel-Classification-and-Characterization-of-Skin-Cancer anvikumar101/Improving-Multilevel-Classification-and-Characterization-of-Skin-Cancer Public

    Jupyter Notebook