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arunksn/README.md

AI Engineer | Backend developer

🧠 About Me

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.

💼 Tech Stack

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

Pinned Loading

  1. Go-lang Go-lang Public

    Go (Golang) is a modern programming language used for backend development. It is known for its speed, simplicity, and scalability, making it ideal for building APIs, microservices, and cloud system…

    Go

  2. AI-Powered-Document-Intelligence-System AI-Powered-Document-Intelligence-System Public

    Upload contracts, invoices, and financial statements — get real-time OCR, clause extraction, anomaly detection, risk scoring, and cross-document contradiction checks, synced to your CRM.

    Python

  3. AegisLLM AegisLLM Public

    Autonomous framework for benchmarking, attacking, and defending Large Language Models against prompt injection, jailbreaks, tool abuse, and agentic threats.

    Python 1

  4. Adaptive-Conversational-Memory Adaptive-Conversational-Memory Public

    Adaptive memory architecture for LLM-powered conversational AI

    Python