I'm a Computational Data Science major at NJIT with a minor in Drones and Robotics, passionate about building secure and interpretable AI systems. My work spans machine learning research funded by the NSF and applied AI development through Cornell Tech’s Break Through Tech AI Program. I focus on real-world impact in cybersecurity, healthcare, and financial tech, utilizing ML, LLMs, and model evaluation techniques to drive meaningful solutions.
Languages: Python, Java, C++, JavaScript, MATLAB
ML & DS Tools: NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Hugging Face, OpenCV, Matplotlib, Seaborn
ML Models: Linear/Logistic Regression, Decision Trees, Random Forest, SVM, KNN, Naive Bayes, Clustering, PCA
DL & LLMs: CNNs, RNNs, Transformers (BERT, GPT), Embeddings, RAG
Dev Tools: Git, VS Code, IntelliJ, Colab, Jupyter
Hardware & Design: Arduino, Microcontrollers, CAD (Fusion 360), 3D Printing, Circuit Prototyping
Trained ML models on 1M+ samples for IoT threat detection (99% accuracy), and developed a real-time RAG-based LLM mitigation system (~94–98% cosine similarity). [Project Details Coming Soon]
Built a full-stack web app with DeepFace to recognize familiar faces in real time (~97% accuracy, <1s latency), with integrated safe-zone tracking for caregiver alerts. 🔗 GitHub Repo
Developed a Random Forest regression model on 2M insurance records with custom preprocessing; achieved ~1.15 RMSE on Kaggle. 🔗 GitHub Repo
Analyzed 200+ scientific charts to study how visual and textual elements impact interpretability; designed graphical visualizations to uncover patterns in multimodal chart design. 🔗 NiiV Lab
I'm Co-President of NJIT’s Financial Technology Club and Vice President of NJIT Girl Up, where I lead STEM events and advocate for women in tech.
Outside of tech, I enjoy mentoring in robotics outreach, playing volleyball, and exploring how AI and design intersect to improve real-world experiences. I'm passionate about responsible AI, interpretable machine learning, and using data science to improve outcomes in security, health, and finance.
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