I am Hiten, a Third-Year Computer Science Engineer focused on building production-grade systems that combine intelligence, scalability, and real-world usability.

My engineering interests span:

• Data Engineering & Predictive Systems
• Blockchain & Distributed Architectures
• AI-Driven Mobile Applications
• Secure Backend Design

I prioritize structured system design, clean architecture, and performance-aware implementation over surface-level development.

FemCare is an AI-powered menstrual health tracking and wellness assistant engineered for reliability, privacy, and medical usability.

🔹 Smart Predictive Tracking
Implements a roll-forward algorithm to dynamically adjust cycle predictions based on biological irregularities.

🔹 Advanced Data Visualization
Aesthetic Gradient-based symptom trend charts powered by MPAndroidChart with full Dark Mode support.

🔹 Medical-Grade Export System
Generates structured, professional PDF reports for doctor consultations.

🔹 Secure Cloud Architecture
Firebase Firestore backend with structured data modeling and access control.

Java • Android SDK • Firebase Firestore • MPAndroidChart • REST APIs

Multi-agent debugging system designed to identify, correct, validate, and push automated fixes within a repository pipeline.

Focus: Automation architecture, iterative validation loops, GitHub integration.

Java • JavaScript • SQL

Android Studio (Java/XML)

MERN Stack (MongoDB • Express • React • Node.js)

Database Design (RBAC) • API Integration • Event-Driven Systems • Modular Architecture

• Refining predictive system logic in FemCare
• Exploring Blockchain security models for capstone research
• Designing automation-based architectures in hackathons

Engineering systems that solve practical problems — not just academic exercises.