Rutgers University
Blending computer engineering, data science, and machine learning to build practical AI systems.
2025 - Present
MS in Computer Engineering (Machine Learning specialization)
Coursework highlights include Reinforcement Learning, Multimodal AI, and High Performance/Distributed Computing.
2021 - 2025
BS in Computer Science, Computer Engineering, and Data Science
Eleanor and Samuel Sneath Endowed Scholarship recipient; advanced study in AI, Distributed Deep Learning, and Statistical Learning.
Skills at a glance
The languages, frameworks, and cloud platforms I reach for when building ML solutions.
Languages
- Python
- R
- SQL
- Java
- Scala
- C/C++
- Rust
- Elixir
- MATLAB
- Bash
Machine Learning
- PyTorch
- TensorFlow
- Keras
- LangChain
- LangGraph
- Scikit-Learn
- NumPy
- Pandas
Data Visualization
- Matplotlib
- Seaborn
- Plotly
- Tableau
Cloud & DevOps
- AWS
- Azure
- Vercel
- Docker
- Kubernetes
- GitHub Actions
Tools & Databases
- Jupyter
- Apache Kafka
- Git
- Linux (Ubuntu)
- PostgreSQL
- MongoDB
- Jira