Skip to content

ENGINEERING PORTFOLIO

Projects and research.

EZHA-Q is an emerging company. The work below is research, experimentation and early development. None of it is presented as a certified or commercially deployed product.

Research prototype

PQC LAB

Overview
Cryptographic engineering research and experimentation involving post-quantum key encapsulation, key derivation, encryption, and secure session management.
Problem addressed
Understanding how post-quantum primitives behave when combined into a complete, working secure-session flow, beyond isolated algorithm demos.
Technical architecture
Modular experiments covering key encapsulation, key derivation, symmetric encryption and session handling, built to be tested and compared independently.
Technology stack
Stack details will be published once confirmed.
Engineering highlights
  • Post-quantum key encapsulation experiments
  • Key derivation and encryption pipeline
  • Secure session management
Current status
Research prototype. Not independently audited or certified.
Future scope
  • Broader test coverage
  • Documented findings and write-ups
Experimental

PQ MESSENGER

Overview
An experimental secure communication platform exploring post-quantum cryptography and modern messaging architecture.
Problem addressed
Exploring how messaging systems can be designed so that key exchange and message protection are ready for a post-quantum future.
Technical architecture
Client–server messaging design with post-quantum cryptography applied to key establishment and message protection.
Technology stack
Stack details will be published once confirmed.
Engineering highlights
  • Post-quantum cryptography in a messaging context
  • Modern messaging architecture
Current status
Experimental project. Not a production messaging service and not security-audited.
Future scope
  • Formal security review
  • Expanded messaging features
Experimental

AIRA-Q

Overview
A privacy-first AI assistant project exploring conversational intelligence and AI integration, with an emphasis on running locally.
Problem addressed
Giving people a useful AI assistant without defaulting to sending their data to third-party services.
Technical architecture
Local-first assistant design separating the conversational interface from the underlying AI integration layer.
Technology stack
Stack details will be published once confirmed.
Engineering highlights
  • Privacy-first design
  • Local AI integration
  • Conversational interface
Current status
Experimental project under continued development.
Future scope
  • Broader model support
  • Improved conversational capability
In development

NANBA AI

Overview
A student mental-wellbeing application concept combining mood tracking, trusted contacts and an AI chat companion. It is not a medical or clinical service.
Problem addressed
Giving students a simple, accessible place to track how they feel and reach people they trust.
Technical architecture
API-first backend with OTP-based authentication. The data model covers users, mood logs, trusted contacts, AI chat sessions with risk scoring, and complaints.
Technology stack
  • Python 3.10+
  • FastAPI
  • SQLAlchemy
  • SQLite (MVP)
Engineering highlights
  • OTP-based authentication
  • Mood logging and trusted contacts
  • AI chat sessions with risk scoring
Current status
MVP under development. Not deployed to real users.
Future scope
  • Production-grade database
  • Careful safety and privacy review before any release

Have a challenge in mind?

Start a Project

← Back to home