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.
Goal: Building secure, scalable, and research-driven AI systems that solve real-world problems.
Languages: Python, Go, Java
AI / Machine Learning: PyTorch, Scikit-learn, Transformers, Computer Vision, OpenCV, YOLO
GenAI: LLMs, RAG, Embeddings, Vector Databases, Diffusers, LangChain
Backend: FastAPI, PostgreSQL, MongoDB
Data & Visualization: NumPy, Pandas, Matplotlib, Seaborn, Power BI
Cloud & Tools: AWS (Basics), Docker, Git, Postman, VS Code