Praise Jaravani
Software Engineer & Cyber Security Consultant
Building digital solutions that power the future
Software engineer and associate cyber security consultant at MWR CyberSec, with three years of engineering across .NET, React and Python, plus machine learning and blockchain work.
My Toolkit
Technical Skills
Frontend
- React
- Next.js
- Angular
- Blazor
- TypeScript
- JavaScript
- HTML/CSS
- TailwindCSS
Backend
- Python
- Node.js
- .NET Core
- FastAPI
- Django
- Flask
- GraphQL
- Java
- C/C++
- C#
Security
- Penetration Testing
- Burp Suite
- Nmap
- Gobuster
- Nikto
- Hashcat
AI & ML
- Machine Learning
- Hugging Face
- Llama
- RAG
- pgvector
- NLP
- TensorFlow
- Data Analysis
Blockchain
- Algorand
- Smart Contracts
- TEAL
- Sovereign SDK
- Web3
- Blockchain Development
Cloud & DevOps
- AWS
- Docker
- Git
- Linux
- Debian
- Arch Linux
Development Approach
I approach software development with a focus on clean code, scalable architecture and user-centred design. My experience spans .NET, React and Python engineering through to web application penetration testing, so I think about how systems break as well as how they are built.
Professional Experience
From internships to software engineering and security consulting
Associate Cyber Security Consultant
MWR CyberSec
Running black-box web application penetration tests across client engagements, from reconnaissance and enumeration through exploitation to the client-facing findings and remediation reports.
Software Developer
Veritas Network
Built the frontend architecture for a decentralised truth-finding platform in Next.js, React, TypeScript and Tailwind CSS, shipped as a PWA, and the backend architecture on a Sovereign SDK rollup.
Machine Learning Research Resident
Reama AI
Trained Llama models and built RAG pipelines with Hugging Face and pgvector for renewable-energy applications, containerised with Docker.
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I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.