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VANSH BEHAL

@vanshbehal

Message

I build backend and AI systems for vision, RAG, and real-time applications.

India

Message

I've built AI-powered backend products at BanavatNest and Aanarp Lord, including a zero-shot jewellery crack detection system using SAM3 and MACRUM, a RAG-based academic assistant with textbook-grounded chat and handwritten-answer feedback.

I also build real-time enterprise and computer-vision platforms, from AR virtual try-on to accounting, CRM, inventory, HR, chat, and video calling systems. My work spans Python, FastAPI, Docker, AWS S3, LLMs, computer vision, authentication, and scalable APIs.

Experience

Work history, roles, and key accomplishments

Software Developer Intern

BanavatNest Pvt. Ltd.

May 2026 - Jul 2026 (2 months)

Built a Jewellery Crack Detection System using SAM3 with promptable segmentation for zero-shot detection of cracks, applying CLAHE preprocessing and IoU-based NMS to reduce false positives. Visualized results through a Streamlit dashboard.

Python SAM 3 PyTorch Hugging Face Transformers OpenCV Streamlit Docker S3 CLAHE Non Maximum Suppression Image Processing

Software Development Intern

Aanarp Lord Pvt. Ltd.

Jul 2025 - Apr 2026 (9 months)

Developed MACRUM, a RAG-based AI academic assistant with a textbook-grounded chatbot and answer-feedback system, using LangChain, FAISS, and Ollama. Built AR Mirror, a virtual try-on platform, and an enterprise management platform with accounting, CRM, and HR modules.