
2025
Global Software Implementation
This was my first large-scale project in which GDPR compliance and the handling of personal information (PI) were core architectural considerations. Our objective was to eliminate internal PI centralization by delegating all PI-related processing and storage to vetted third-party providers. This approach reduced organizational liability while ensuring that all data flows, integrations, and system components adhered to strict security, privacy, and compliance standards.
- Python
- Shell
- Windows Server
- Firewall
- Automations. CSS
- JavaScript
- HTML
- DevOps

2025
Language Learning App
This is a live application built for a German teacher, with a live demo available. References available upon request.
- ReactJS
- NextJS
- TailwindCSS
- TypeScript
- Shad CN
- React-admin
- Clerk
- Drizzle ORM
- Stripe & Sonner

2025
Horizon Banking App
This application was built primarily to understand how Dwolla and Plaid technologies work. Although the financial transactions run in a sandbox environment, they simulate real-world scenarios using error-handling mechanisms and safety protocols.
- ReactJS
- NextJS
- TailwindCSS
- TypeScript
- Shad CN
- ChartJS
- Zod
- AppWrite(NoSQL)
- Plaid & Dwolla Integrations

2025
IM AI Image editor
This project was primarily focused on understanding how a UI and backend API interact to generate AI images and edit user-uploaded images. I really enjoyed working on this challenge. (Source code available upon request.)
- ReactJS
- NextJS
- TailwindCSS
- TypeScript
- Shad CN
- Zod
- MongoDB(NoSQL)
- Clerk(auth)
- Ingegration
- Credits System Implementation
- AI-Powered APP
- Cloudinary

2025
3D - Shirt E-commerce
ReactJS, NextJS, TailwindCSS, TypeScript, Shad CN, Zod, ThreeJS, Supabase, Vercel, PostgreSQL, SQLite, Express, Node.js, Docker, Kubernetes, AWS, Azure, GCP.
- ReactJS
- NextJS
- TailwindCSS
- TypeScript
- Shad CN
- Zod
- ThreeJS
- Supabase
- Vercel
- PostgreSQL
- SQLite
- Express
- Node.js
- Docker
- Kubernetes
- AWS
- Azure
- GCP

2025
Clarity AI
ClarityAI Interview Prep is a multi-system, AI-driven platform designed to deliver end-to-end interview preparation using a distributed LLM architecture. The application integrates four specialized AI pipelines—interview generation, transcript scoring, LinkedIn optimization, and resume analysis—each routed through a multi-provider model layer (Google Gemini and OpenAI) for cost-efficient, task-specific performance.
Live App Demo Available Upon Request!
- Core technologies: Next.js 15
- React 19
- TypeScript AI/ML: Google Gemini (2.5 Flash
- 2.0 Flash
- 1.5 Flash)
- OpenAI (GPT-4
- GPT-4o-mini) Backend/Infrastructure: Firebase (Firestore
- Auth
- Admin)
- Vapi AI
- Stripe UI/Styling: Tailwind CSS
- DaisyUI
- shadcn/ui
- Lucide React
- Sonner Utilities: Zod
- Puppeteer
- React Hook Form
- PDF.js
- dayjs