🔭 I’m currently working on: Building small AI Agents to anylize their security and privacy aspects with respect to real use-cases. Still dealing with little Python scrapes for personal projects.

🤝 I’m looking to find out about: Open-source tools at the intersection of cybersecurity and genAI/LLMs. Lightweight ML utilities, Android components, or Python libraries for data workflows.

👐 I’m looking for help with: Best practices for securing LLM-enabled apps and evaluating prompt/response risks. Efficient training setups for vision and NLP models on modest GPUs.

🌱 I’m currently learning: Advanced deep learning concepts from coursework and hands-on experiments. Safer genAI patterns, model evaluation, and deployment pipelines. Cryptographic standards and principles, with little code exemplification.

💬 Ask me about: Python for data/ML, Java-Android basics, and getting started with personal project scaffolding. Practical steps to integrate LLMs securely into apps.

⚡ Fun fact: Curious about legacy tech like COBOL and how it still runs mission-critical systems. Love turning small weekend hacks into tidy, documented mini-projects.