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Joshuathomas18/README.md

πŸ‘‹ Hey there! I'm Joshua Thomas Johnson

🧠 About Me

I am a domain-agnostic builder and system engineer specializing in SDE, ML, and AI Research. Currently pursuing my B.Tech at NITK Surathkal (Minor in Machine Learning), I focus on developing "Vertical AI" and shipping complex, end-to-end, high-agency systems with urgency.

  • πŸ”­ Building: Modular monoliths, agentic architectures, and AI-native cloud infrastructure.

  • πŸ’Ό Experience: - πŸ“ Core OS & Telemetry @ Krop AI – Developed the operating system and Over-The-Air (OTA) telemetry for an autonomous strawberry farm container built for Nikhil Kamath (Funded by Mattermost).

  • πŸ‘• Backend/AI @ Fashn AI – Engineered the backend framework and built the MVP for a digital wardrobe and virtual try-on platform utilizing NanoBanana.

  • βš™οΈ Intern @ Kalppo – Engineered production-grade ML pipelines, building a robust recommendation engine and high-accuracy OCR extraction workflows for structured data processing.

  • πŸ”¬ Open Source: Google Summer of Code (GSoC) '25 Contributor [Human AI Foundation]. Engineered and trained a custom BERT-based NLP classifier to analyze actions and fatalities in MIC.

πŸš€ Featured High-Agency Systems & Projects

  • πŸ›‘οΈ Argus XDR: An autonomous cybersecurity platform tailored for banking, featuring graph-based threat detection and multi-agent reasoning over real-time telemetry.

  • 🚒 Tariff Titan: An AI-powered system for customs clearance, utilizing FastAPI, Docling, and LLM APIs for structured data extraction from complex financial documents.

  • βš–οΈ Lawgorithm: A Vertical AI system engineered for autonomous legal research, utilizing multi-agent reasoning to parse, analyze, and synthesize complex legal documentation.

  • πŸ–₯️ RISC-V RAG Generator: An advanced Retrieval-Augmented Generation (RAG) pipeline tailored for the RISC-V architecture, designed to navigate and synthesize complex instruction set specifications and hardware documentation.

  • 🌱 Carbon Kheth: An ML-driven platform focused on sustainable agriculture, leveraging field telemetry and data models to optimize and track carbon farming metrics.

πŸ’» Tech Stack & Infrastructure

πŸ‘¨β€πŸ’» Languages & Frameworks: Python, FastAPI, Django, Flask, Flutter

🧠 AI & Data: LLM Finetuning, LangChain, Multi-Agent Orchestration, RAG, PyTorch, TensorFlow, NanoBanana

☁️ Infra & Databases: Docker, PostgreSQL, Supabase, Serverless GPU Inference, GCP, AWS

🌐 Socials:

LinkedIn email

πŸ’» Tech Stack:

LaTeX Python MySQL Google Cloud Heroku AWS SQLite Keras Matplotlib mlflow NumPy Plotly Pandas TensorFlow PyTorch scikit-learn Scipy Git GitHub Power Bi Trello Postman

Pinned Loading

  1. Argus-XDR Argus-XDR Public

    Python

  2. carbon-backend carbon-backend Public

    Carbon Sequestration MVP - Verra-compliant satellite-based carbon scoring for Indian smallholder farmers

    Python

  3. Lawgorithm Lawgorithm Public

    Python

  4. RAG-Driven-RV32I-RTL-Generator RAG-Driven-RV32I-RTL-Generator Public

    C

  5. TariffTitan TariffTitan Public

    Python

  6. humanai-foundation/ISSR humanai-foundation/ISSR Public

    Jupyter Notebook 6 30