Image Classification Using Deep Learning
CNN project with data augmentation, transfer learning, model training, evaluation, and hyperparameter tuning.
Selected Projects
These projects emphasize clean APIs, modular services, testing, deployment, and applied machine learning.
2025 - 2026
HeuriGuard is a multi-module threat detection platform for malicious URLs, phishing links, and SMS spam classification. I led backend development, implemented modular REST APIs, engineered feature pipelines, optimized processing for latency and reliability, and maintained deployment scripts for Docker-based releases.
2026
A retrieval-augmented assistant focused on reliable document ingestion, retrieval, routing, fallback handling, and graceful degradation for edge cases. The project strengthened my work with agentic AI workflows and maintainable AI application architecture.
Backend API
A real-world backend application that manages menu operations, customer orders, cart workflows, and checkout processing. It simulates common food delivery platform features while keeping the API clean, validated, and easy to test.
Machine Learning
A deployed web application that detects malicious URLs with 95%+ accuracy using machine learning classifiers and a feature extraction pipeline for URL patterns, domain characteristics, and behavioral indicators.
IGNITE HACK 2024
A generative AI web application that converts text prompts into high-quality images. The generation pipeline was optimized with efficient preprocessing and caching, reducing latency by 40%.
More Projects
CNN project with data augmentation, transfer learning, model training, evaluation, and hyperparameter tuning.
Java Swing application with automated grading, real-time analytics, timer functionality, and a question database.
Python Tkinter desktop application supporting multi-quality downloads with progress tracking and error handling.