Current Focus: Building production-ready AI/ML systems, LLM applications, and AI security tools with Python, PyTorch, and FastAPI.
Exploring: Generative AI, LLM Security, RAG, AI Agents, Deep Learning, and Computer Vision.
Building: AI security frameworks, document intelligence systems, autonomous evaluation platforms, and scalable AI-powered applications.
Collaboration: Open to contributing to open-source projects in AI/ML, Generative AI, LLM Security, and intelligent backend systems.
Let's Chat About: Python, PyTorch, FastAPI, RAG, LLMs, AI Agents, Computer Vision, and AI Security.
Goal: Building secure, scalable, and research-driven AI systems that solve real-world problems.
Fun Fact: I enjoy turning complex AI ideas into practical systems — from securing LLM agents to building intelligent document pipelines.
Languages: Python, Go, C/C++, Java
AI / Machine Learning: PyTorch, Scikit-learn, Transformers, Computer Vision, RAG, Embeddings, Vector Databases, LangChain, OpenCV, YOLO
Data Science: NumPy, Pandas, Matplotlib, Seaborn, Data Visualization
Backend & APIs: FastAPI, Go, PostgreSQL, MongoDB, SQLite
Developer Tools: Docker, Git, Postman, AWS (Basics), VS Code