Driven and detail-oriented Computer Science undergraduate (2023–2027) with a solid grasp of Python, C++, and backend development.

Proficient in data structures, algorithms, and clean coding principles, with hands-on experience in building scalable systems and AI-powered applications.

Actively exploring natural language processing and software engineering best practices. Eager to learn, contribute meaningfully to innovative projects, and grow alongside experienced professionals in a collaborative tech environment.

HTML
CSS
JS
REACT
NODE
PYTHON
SKLEARN
TENSORFLOW
LANGCHAIN
LANGGRAPH
GIT/GITHUB
DOCKER
  • C++ neural network

    Implemented forward/backpropagation, ReLU, softmax, and mini-batch gradient descent to achieve ~90% accuracy on Fashion-MNIST, with model serialization and modular design for deployment.
  • NLP-Powered Note-Taking Application

    Built a GUI app using custom TF-IDF and TextRank pipeline to summarize 300–500 word notes in under 2 seconds, enabling real-time usability for students and researchers
  • ENIGMA Tech Fest Platform

    Co-developed and deployed a full-stack portal for 500+ students, building responsive React components integrated with backend APIs for real-time event registrations and announcements.
Links
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