Sharp, performant web experiences built with Next.js, React, TypeScript, and security‑first principles.

MealMuse is a full-stack, AI-powered recipe discovery platform designed to help home cooks answer the daily question: 'What should I make for dinner?' The platform combines a clean, modern frontend with a scalable serverless backend, intelligent recipe generation, and a freemium subscription model.

Built an end-to-end SaaS with 125+ recipes, AI Chef chatbot (Groq Llama-3.1), recipe generation, and Stripe subscriptions. Architected serverless Lambda backend with MongoDB, integrated Spoonacular for daily recipe seeding, and designed a premium gating system.

Skinstric.ai is an interactive skincare assistant that helps users discover personalized skincare insights and explore products or routines, combining clean design with smooth API integration, and component architecture. This was a paid internship project.

Utilized react-webcam and converted to base64, transformed data to visual using ChartJS, Showcased ability to convert Figma‑style designs into pixel‑perfect, production‑ready UI

Converted a locked Chromebook into a hardened Kali Linux cybersecurity workstation through custom firmware installation, driver configuration, system hardening, and comprehensive security validation. This project demonstrates hands-on Linux administration, low-level hardware troubleshooting, network security implementation, and systematic debugging—core skills for IT support, system administration, and cybersecurity roles.

Successfully transformed restricted hardware into a fully functional security testing platform. Configured kernel modules for WiFi/Bluetooth, implemented privacy-focused DNS and VPN routing, hardened the system against telemetry and IPv6 leaks, validated firewall rules with iptables/nftables, performed packet capture analysis with tcpdump, and resolved complex systemd, APT, PATH, disk usage, and inode exhaustion issues. Demonstrated ability to troubleshoot at the kernel, network, and application layers.