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Sulav Bhadari

@sulavbhandari

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I build production computer vision, RAG, and LLM systems that automate complex workflows.

Nepal

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What I'm looking for

I'm looking to build practical AI systems, especially in computer vision, NLP, RAG, and LLM workflows, where I can take models from experimentation to reliable production use.

At Sandbox Pvt. Ltd., I build real-time computer-vision systems for live game clients including Rush Royale, League of Legends, and Tibia. My OpenCV and PyTorch detection models enable unattended runs for 8+ hours and replace roughly six hours of manual play per client each day.

I also built an internal RAG assistant over game specifications and internal documentation, cutting documentation search time by around 60%. My multi-agent LLM system uses tool-calling to run multi-step jobs end to end and reduces manual steps per job by about 70%.

I've built document Q&A APIs with LangChain, FAISS, Hugging Face, and FastAPI, and wrote a Nepali BPE tokenizer and decoder-only transformer from scratch. I enjoy turning computer vision, NLP, and open-weight LLM work into practical systems people can use.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Sandbox Pvt. Ltd.

Jan 2025 - Present (1 year 8 months)

Built real-time computer-vision systems for game clients, training and retraining detection models to enable unattended operation. Developed an internal RAG assistant and a multi-agent system with tool-calling, significantly reducing manual effort.

OpenCV PyTorch Computer Vision RAG Multi Agent Systems Tool calling fastAPI