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arunksn/README.md

AI Engineer | Backend developer


🧠 About Me

Final-year Computer Science student specializing in backend engineering, AI-powered systems, and scalable software development. I build scalable software systems by designing secure APIs, backend services, distributed processing pipelines, and intelligent data systems, with a focus on solving complex engineering problems through robust system design and modern cloud technologies.



💼 Tech Stack

Languages: Python, Go(Golang), Java

Backend: FastAPI, REST APIs, PostgreSQL, MongoDB

Databases: MongoDB, PostgreSQL, Vector Databases (Pinecone/Chroma)

AI / Machine Learning: PyTorch, Scikit-learn, Transformers, Computer Vision, YOLO

GenAI: RAG, LLM Integration (OpenAI, Gemini), Embeddings, LangChain

Data & Visualization: NumPy, Pandas, Matplotlib, Seaborn, Power BI

Cloud & DevOps: AWS (Lambda, S3, EC2), Docker, CI/CD


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