AI Lead Scoring Engine
Enterprise lead scoring built with XGBoost and Spring Boot to predict conversion likelihood and improve routing quality. The system improved conversion rates by 35 percent through better signal extraction and smarter recommendations.
Project Highlights
Built predictive scoring tied to real customer behavior and conversion signals.
Integrated the model into high-volume marketing and lead-routing systems.
Delivered measurable conversion improvement through better prioritization and recommendations.
Explore More Work
Deep dive into other high-performance solutions.

A browser-native collection of 120 plus developer utilities for formatting, debugging, conversion, and day-to-day engineering workflows. The product is optimized for privacy, fast local execution, offline use, and SEO-driven discovery.
A focused Mermaid diagram editor that turns raw Mermaid syntax into polished flowcharts and exports them as SVG, PNG, JPEG, or PDF. The app runs entirely in the browser, supports offline work, and keeps diagram data private on-device.

A privacy-first PDF studio for merging, splitting, OCR, converting, editing, and organizing PDF files directly in the browser. The product avoids uploads and accounts, giving users a local workflow for sensitive document handling.
Enterprise lead scoring built with XGBoost and Spring Boot to predict conversion likelihood and improve routing quality. The system improved conversion rates by 35 percent through better signal extraction and smarter recommendations.
A lightweight notification system that monitored appointment availability and sent location-aware alerts in real time. The product was designed for clarity, urgency, and speed during a high-demand public service moment.
A long-running technical blog covering Java, Spring Framework, and software engineering practices. It turns implementation experience into content that is useful for working developers and hiring teams evaluating technical depth.