Perhaps the most technical law student you'll encounter. I'm passionate about building robust, secure, and compliant systems by leveraging cutting-edge technology.
I'm a Law student with a deep-seated fascination for technology's intricate workings. My legal studies provide a unique lens through which I view software development, focusing on:
- 🛡️ Security & Privacy by Design: Building systems that are inherently secure and respect user privacy.
- 📜 Compliance Automation: Translating legal and regulatory requirements into automated checks and balances within the development lifecycle (Compliance Engineering).
- 🤖 Ethical AI & ML: Exploring the responsible development and deployment of Artificial Intelligence and Machine Learning models.
- 🔒 Data Protection: Implementing cryptographic techniques and privacy-enhancing technologies (Private Machine Learning).
I believe the future lies at the intersection of regulatory frameworks and intelligent, secure software. My goal is to be a key architect in that future. Most of my project work happens under the Scimorph organization banner.
- Explainability and Bias within Deep Neural Networks.
- Integrating robust anonymization in agentic systems.
- Developing automated compliance frameworks for CI/CD pipelines.
- Investigating federated learning techniques for enhanced data privacy in ML.
- Building tools within the Scimorph organization to tackle these challenges.
I'm actively seeking internship opportunities where I can contribute my unique skill set at the intersection of law, security, and software engineering.
- Internship Focus: Compliance Engineering, DevSecOps, AI Governance, Private ML R&D, Technical Legal Consulting, and Software Engineering.
- Open to: Challenging projects, innovative teams, and roles where deep technical understanding and legal awareness are assets.
Hit me up if you think I'd be a good fit or if you just want to chat about tech and law!