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ishan-1010/README.md

Ishan Katoch

AI Engineer at Shorthills AI, previously AI R&D intern at Samsung.
I work on generative-AI systems: RAG, multi-agent workflows, and LLM optimisation.

Generative AI, Machine Learning, AI Agents, Model Context Protocol, NLP

Python PyTorch TensorFlow LangChain Hugging Face Databricks Docker Azure AWS

Open source and research

  • Merged a tokeniser performance fix into Hugging Face Transformers, cutting a 5,000-token worst case from about 7.3 seconds to 0.5 milliseconds. PR #46323
  • First-author paper at ICDSAAI 2023 on deep-learning student-engagement detection.

Background

Azure AI Engineer (AI-102) and Databricks Generative AI certified. CodeChef 5★ (top 5%), Kaggle Datasets Expert.

Links

Portfolio  |  LinkedIn

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  1. agent-injection-suite agent-injection-suite Public

    Defensive prompt-injection resistance tests for agentic LLMs. Scores how well an agent resists injection, tool-misuse, and exfiltration. Rule-based, CI-gateable, runs offline.

    Python 2 1

  2. farmAI farmAI Public

    Multi-agent crop assistant. From one photo, four Llama agents on Groq identify the crop, diagnose disease, and advise on treatment and mandi prices. Streamlit app.

    Python 1

  3. AlloyDB-Omni-EmbeddingGemma-on-GKE AlloyDB-Omni-EmbeddingGemma-on-GKE Public

    Workshop kit for a hands-on session on AlloyDB Omni, GKE, and vector search. Handbook, runbook, and an automated end-to-end script, built on Google's official codelab.

    10 2

  4. gemini-workshop-agent gemini-workshop-agent Public

    Hands-on workshop: a web-browsing agent built with Gemini and Playwright that navigates sites, fills forms, and extracts structured data from natural-language prompts.

    Python 9 5

  5. IEEE-IGDTUW-Workshop-Agentic IEEE-IGDTUW-Workshop-Agentic Public

    IEEE IGDTUW workshop: build a self-correcting Gemini agent that analyses, rewrites, and critiques its own output. Runnable Colab notebook.

    Jupyter Notebook 10

  6. CognitionFlow CognitionFlow Public

    Three-agent system on Microsoft AutoGen: an Engineer, Executor, and Reviewer write, run, and validate code in a review loop until it passes. FastAPI backend with live streaming, Groq inference.

    Jupyter Notebook 1