├── timeline: Sept 2025 - Nov 2025

├── impact: Saved YC startup $1M+

├── type: Payment bypass vulnerabilities (2 critical)

├── process: Discovered Sept 2025, contacted YC security team & CC/CERT after non-response, resolved Nov 2025

├── tech: Web Security, Payment Systems Analysis

├── timeline: 2024

├── mission: Demonstrate .zip TLD phishing risks

├── investment: Self-funded security awareness project

├── impact: Educated thousands about URL spoofing

├── tech: DNS, Web Security, Social Engineering

├── externalLink: https://nvidia.zip

├── highlightLink:

├── description: Encryption, Decryption & Hashing Tool

├── tech: Python, Cryptography, Flask, Docker

├── description: Enterprise SSL/TLS certificate lifecycle management

├── tech: Node.js, OpenSSL, Docker, MongoDB

├── description: Email & Website Security Verification Tool

├── tech: Python, DNS Analysis, SMTP Validation

├── description: Convert your CSV files to database queries (unlimited)

├── tech: Python, CSV Processing, SQL Generation

├── description: Advanced File Compressor & Format Converter

├── tech: Python, Multiple compression algorithms

├── description: Interactive GitHub repository branch visualization

├── tech: D3.js, GitHub API, React, TypeScript

├── description: Collaborative architectural diagram editor (Excalidraw clone)

├── tech: React, Canvas API, WebRTC, Socket.io

├── description: Full-featured offline document editor (MS Word alternative)

├── tech: React, IndexedDB, PWA, Service Workers

├── description: Chemistry-themed security tools dashboard

├── tech: React, D3.js, Security APIs

├── description: Pokemon-themed network security scanner

├── tech: Python, Nmap, Network Analysis

├── description: Enterprise-grade web application leveraging GCP services with automated CI/CD pipeline, static asset optimization, and comprehensive security measures

├── components: Compute Engine VMs, Cloud Build, Cloud Functions, Cloud Storage, CloudFlare CDN

├── features: Automated GitHub deployments, Weekly Cloud Build automation, Static asset CDN delivery, DDoS protection, Firewall configuration

├── security: Network segmentation, Access controls, Data encryption (at rest & in transit), WAF protection, Regular security audits, Vulnerability assessments

├── tech: GCP, Compute Engine, Cloud Build, Cloud Functions, CloudFlare, HTML/CSS/JavaScript

├── description: AI-powered conversational interface for resume exploration built with Dialogflow NLU on GCP. Provides engaging, personalized way for employers to learn about experience and skills

├── components: Dialogflow (NLU Agent), Cloud Project, Dialogflow Essential, Cloud Run for deployment

├── features: Natural language understanding, Intent-based conversation flow, Real-time responses, Website integration, Customizable dialogue paths

├── benefits: Engaging user experience, 24/7 accessibility for recruiters, Personalized interaction, Efficient candidate screening, Stand out from traditional resumes

├── implementation: Dialogflow intent definition, Conversational flow design, Website chatbot integration, Automated background deployment

├── tech: Dialogflow, GCP, NLU, Cloud Run, Web Integration, Conversational AI

├── description: Decoy security system deployed on GCP for detecting, analyzing, and logging cyber attacks. Acts as bait to gather threat intelligence and protect production systems

├── preparation: Google Cloud Shell initialization, Billing enablement, Compute Engine API activation, Region/zone selection

├── deployment: Firewall rule configuration, MHN Admin installation, Honeypot VM setup, Network isolation

├── components: MHN Admin (management), Compute Engine VMs, Custom firewall rules, Attack monitoring system

├── features: Attack detection & logging, Threat intelligence gathering, Network security monitoring, Automated alerting, Traffic analysis

├── security: Isolated network segments, Controlled traffic routing, Attack pattern analysis, Legal compliance verification, Service exposure management

├── tech: GCP, Compute Engine, MHN, Network Security, Firewall Rules, Security Monitoring

├── description: Innovative data science exploration applying advanced ML and visualization techniques to Pokémon datasets using cutting-edge GCP technologies

├── components: Vertex AI (ML training), Google Colab (development), Python, Matplotlib, Looker Studio (dashboards)

├── methodology: OSINT data collection → Data cleaning & classification → Exploratory analysis → ML model training → Interactive visualization

├── features: Predictive type classifications, Pattern recognition & trend analysis, Interactive dashboards, Advanced data visualizations, Auto ML training

├── challenges: Handling diverse Pokémon attributes, Multi-class type prediction, Creating interactive visualization techniques, Model optimization

├── insights: Comprehensive understanding of Pokémon characteristics, Data-driven type predictions, Visual exploration of complex datasets

├── tech: Vertex AI, Auto ML, Google Colab, Python, Matplotlib, Looker Studio, Machine Learning, Data Visualization

├── description: Event-driven serverless API for serving resume data in JSON format from Firestore NoSQL database with public access and auto-scaling

├── components: Firestore (NoSQL database), Cloud Functions (2nd gen), Cloud Run (deployment), Python (source code)

├── architecture: Users make API call → Cloud Function triggers → Retrieves data from Firestore → Returns JSON response via Cloud Run

├── deployment steps: Create GCP project, Configure Firestore collection, Write Cloud Function source in Python, Set service account permissions, Configure allUser access, Deploy on Cloud Run

├── features: Real-time data retrieval, Serverless auto-scaling, Public API access, Event-driven architecture, NoSQL data storage, Low latency responses

├── tech: Firestore, Cloud Functions (2nd gen), Cloud Run, Python, NoSQL, Serverless Architecture, Event-Driven