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Achievement: Pair Extraordinaire

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Emperor-Z/README.md

Arjun Ashad - Applied AI, Clinical ML, Local AI Systems

Applied AI, healthcare ML, local AI systems, Unity game technology

LinkedIn GitHub Coventry, UK

AI / ML

Python · PyTorch · TensorFlow · scikit-learn · HuggingFace · OpenCV

Systems

FastAPI · Flask · SQL · Docker · AWS · Azure · Linux

Interactive Tech

Unity · game design · UI/UX · React · TypeScript · Tailwind

Featured Work

Ares / Aries

Local multi-agent AI system with Ollama agents, A2A services, memory, Serena integration, and Langfuse observability.

Python Ollama Docker Langfuse

Sreenethra Clinical Platform

Ophthalmology website and clinical UX work developed alongside a Unity-based amblyopia therapy game.

HTML CSS TypeScript Unity

Amazon Review Helpfulness

MSc group project on helpful vote prediction with label design, EDA, temporal splitting, and leakage checks.

Python NLP HuggingFace Pandas

Private / NDA Work

Worked on private clinical AI/EMR tooling at SACOM, including ophthalmology workflow modules involving computer vision and voice-assisted documentation. Code and client data are not public due to NDA and healthcare privacy constraints.

Current Focus

MSc Applied AI @ Warwick · medical AI · large-scale NLP · local AI agents · game technology for healthcare

Pinned Loading

  1. amazon-reviews-helpfulness amazon-reviews-helpfulness Public

    Helpful vote prediction on Amazon Reviews 2023 — MSc AI group project, University of Warwick

  2. aries aries Public

    Ares — 100% local multi-agent AI system: orchestrator, coder, thinker, runner, and Serena agents with mem0 memory, Langfuse observability, and A2A HTTP endpoints

    Python

  3. loc-llm-setup loc-llm-setup Public

    Python

  4. PAI-Assesment-Task-1 PAI-Assesment-Task-1 Public

    Individual Assesment PAI Task 1

    Python