I'm an Information Science & Engineering student focused on building practical software and AI/ML applications.
I enjoy solving problems with C++, working with Python and SQL, building applications with React, and applying Machine Learning and Deep Learning to real-world problems.
- 💻 Practicing Data Structures & Algorithms in C++
- 🐍 Working with Python for ML, data processing and applications
- 🗄️ Strengthening SQL and database fundamentals
- ⚛️ Building applications with React
- 🤖 Building and experimenting with Machine Learning & Deep Learning
- 🧠 Interested in AI-powered software applications
- 🚀 Open to Software Engineer, SDE, AI/ML and Junior Developer opportunities
C++ • Python • Java • C • JavaScript • TypeScript • SQL
Data Structures & Algorithms • OOP • DBMS • Problem Solving
React • Vite • HTML • CSS • REST APIs • Git • GitHub • Docker
scikit-learn • PyTorch • TensorFlow • pandas • NumPy
Regression • Classification • Feature Engineering • Model Evaluation
CNNs • LSTMs • NLP • Computer Vision • Embeddings
AI-powered assessment and grading platform
A full-stack AI application designed to automate assessment workflows and provide intelligent grading and feedback.
- Automated assessment and grading workflows
- OCR-based processing for image submissions
- Semantic similarity for answer evaluation
- LLM-powered feedback generation
- React-based frontend
- API-driven application architecture
- Input validation and testing
AI-powered financial analysis and portfolio optimization platform
A machine-learning based financial application combining prediction, clustering and portfolio optimization.
- Market-data processing and feature engineering
- Regression-based financial prediction
- Random Forest and LSTM experimentation
- KMeans clustering
- Portfolio optimization
- Risk and performance analysis
- Interactive web interface
My ongoing Data Structures & Algorithms practice repository
A structured collection of C++ solutions focused on interview problem-solving patterns.
- Arrays
- Strings
- Hashing
- Linked Lists
- Two Pointers
- Prefix Sums
- Sorting
- Searching
- Recursion
- Stack & Queue
- Trees
- Graphs
- Greedy
- Dynamic Programming
iNeuBytes AI/ML Internship
Practical ML/DL experimentation covering computer vision and NLP.
- CIFAR-10 image classification using CNNs
- Data augmentation experiments
- Model-depth experiments
- Overfitting diagnosis
- Confusion-matrix analysis
- IMDb sentiment analysis
- TF-IDF + classical ML models
- LSTM-based sentiment classification
- Model comparison and error analysis
AI-powered civic engagement platform
An AI-enabled application focused on civic participation, public issues and intelligent interaction.
SOFTWARE ENGINEERING
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C++ SQL Python
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DSA Databases ML/AI
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React
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AI-powered Apps