Computer Science Student

Systems-minded builder focused on secure, scalable software.

I design and implement systems with strong foundations in databases, reliability, and access control — with applied machine learning where it adds value.

Featured Projects

Proof-first summaries: what it is, what I built, and why it matters.

Distributed Hospital Information System In Progress

Role-based digital medical records architecture designed for secure, scalable healthcare data access.

  • Security: PostgreSQL RLS for query-layer data isolation (prevents cross-role leakage).
  • Access model: RBAC policies + emergency access token flow with auditing.
  • Traceability: audit logging for record access events and sensitive operations.
Supabase PostgreSQL RLS RBAC

Create Your Own Image Classifier

CNN classifier using transfer learning, training workflows, and evaluation on validation data.

  • Pipeline: preprocessing, augmentation, training, validation, checkpointing.
  • Modeling: transfer learning with a pretrained backbone.
  • Engineering: reproducible workflow with structured training outputs.
Python PyTorch/TensorFlow Transfer Learning

Dog Breed Classifier (Pre-trained Model)

Image classification pipeline using a pre-trained CNN for real-world inference tasks.

  • Inference: end-to-end prediction pipeline and output interpretation.
  • Adaptation: transfer learning concepts applied to a pretrained CNN.
  • CLI workflow: reproducible runs and consistent evaluation.
Python CNN Inference

Snake Game (Java)

Object-oriented implementation demonstrating event-driven logic and state management.

  • OOP: modular design, encapsulation, clear state transitions.
  • Logic: game loop + collision rules + input handling.
  • Foundations: clean code structure and readability.
Java OOP Event-driven

Technical Skills

Organized for quick scanning.

Languages

  • Java
  • Python
  • JavaScript
  • SQL

Systems & Security

  • RBAC / authorization design
  • Row-Level Security (Postgres)
  • Database design & normalization
  • Audit logging

Machine Learning

  • Transfer learning
  • Neural networks (CNN)
  • Training & evaluation workflows
  • Inference pipelines

Tools

  • Git
  • Supabase
  • Jupyter Notebook
  • VS Code

About

What I care about

I like projects where correctness and security matter: access control, data isolation, reliable data models, and system behavior under real constraints.

Current Focus

  • Designing secure healthcare data workflows
  • Strengthening concurrency/transaction modeling knowledge
  • Improving system documentation and architecture communication

Let’s connect

Best way to reach me: email or LinkedIn. I’m open to internships, junior roles, and collaborations.