CS graduate who builds across the stack — web apps, ML systems, automation, and everything in between.
Languages
|
Python |
C++ |
C |
Java |
HTML |
CSS |
JavaScript |
SQL |
ML / AI
|
TensorFlow |
PyTorch |
OpenCV |
Scikit-Learn |
Tools & Frameworks
|
Flask |
SQLite |
Git |
GitHub |
Linux |
VS Code |
| Project | Description | Stack |
|---|---|---|
| MNIST Digit Recognizer | MLP trained on MNIST, deployed as a browser-based math quiz app | TensorFlow, Keras |
| TutorU | AI platform generating structured courses with RAG-based tutoring and MCQ quizzes | Gemini, LangChain, FAISS, Flask |
| Smart Dermatology | Desktop app classifying 9 skin diseases at 81% accuracy on the ISIC dataset | CNN, SVM, TensorFlow, Tkinter |
| Expenzo | Expense tracker with budget management and spending visualizations | Python, SQL |
Built an intelligent Movie Recommender Chatbot using NLP and recommendation algorithms. Worked with real-world datasets across the full pipeline — data preprocessing, model training, evaluation, and chatbot integration.
PythonScikit-learnNLPMachine Learning
Built, trained, and evaluated predictive models on real-world datasets. Focused on algorithm implementation and performance optimization. Achieved A+ grade for overall performance.
PythonMachine LearningData PreprocessingModel Evaluation
Intensive bootcamp covering end-to-end ML projects — exploratory data analysis, feature engineering, model development, and evaluation. Hands-on with the core Python data science stack.
PandasNumPyMatplotlibScikit-learnSeaborn

