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Focusing
🎯
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8 followers · 14 following

Achievements

Achievement: Galaxy BrainAchievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Galaxy BrainAchievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

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STiFLeR7/README.md
Header
Typing SVG

📂 >_ /sys/identify_user.py

class Hill_Patel(AI_Researcher):
    """
    [INFO] Building open-source AI tools for the community.
    [WARN] High compute requirements detected.
    """
    def __init__(self):
        self.code = "STiFLeR7"
        self.specs = {
            "role": "AI Researcher & Developer | OSS Contributor",
            "focus": ["LLMs", "RAG Systems", "Edge AI", "Quantization"],
            "driver": "Deploying Scalable Intelligence"
        }

    def execute_mission(self):
        while True:
            self.research()
            self.optimize()
            self.deploy("Production")

🏆 >_ /sys/achievements/trophies

Trophies

🎖️ >_ /sys/achievements/badges

Pull Shark YOLO Quickdraw Pair Extraordinaire Galaxy Brain
Pull Shark YOLO Quickdraw Pair Extraordinaire Galaxy Brain
Mass PR Merger Merged without review Closed issue/PR quickly Co-authored commits Answered discussions

�🌐 >_ /net/uplink/social_protocols

🛠️ >_ /sys/modules/technical_skills

🧠 LLMs & Retrieval

RAG Vector Search LangChain LangGraph Agentic AI

⚡ Model Optimization

Quantization ONNX TensorRT CUDA Pruning

🔬 ML Engineering

Transformers CNNs Multimodal PyTorch TensorFlow

🚀 Backend & MLOps

FastAPI Docker GitHub Actions Redis GCP AWS

💻 Languages & Tools

Python NumPy Pandas OpenCV Gradio Git Linux


📜 >_ /var/log/certifications

  • Published Research: Transforming Urban Solutions for Smart Cities through Crowdsourced Feedback (Mar 2025)
  • MCP Mastery: Model Context Protocol - Fractal Analytics
  • Professional Certificate: RAG and Agentic AI - Coursera
  • Course Completion: Introduction to Neural Networks with PyTorch - Coursera

💾 >_ /var/log/deployed_intelligences

PROJECT ID MISSION BRIEF CORE TECH
⚡ DevPulseAIv2 [DEV-TOOL] Advanced AI assistant for developer productivity and workflow optimization. AI Agents Python LLM
📦 imgshape [CLI-TOOL] Intelligent dataset analysis framework. Auto-generates reports & pipelines. Python PyPI Analysis
📱 Qwen3-iOS [MOBILE-AI] On-device inference of Qwen3 models optimized for iOS architecture. Swift CoreML Quantization
🧠 agentic-rag [RAG-SYSTEM] Production-grade Agentic RAG for consumer GPUs (RTX 3050/6GB). Graph-based, controllable architecture. LangGraph RAG Agents
🤖 Dex [AI-ASSISTANT] Production-grade personal AI assistant built on MCP. Persistent, memory-aware. MCP Python LLM
🚀 Antigravity [TOOL-SERVER] Universal LLM Tool Server - Connect Claude, OpenAI, and Gemini to your workspace. MCP LLM Tools

🕹️ >_ /sys/simulation/pacman_game

Pacman Game

📡 >_ /net/uplink/latest_transmissions


📉 >_ /sys/monitoring/activity_metrics

Metrics

📊 >_ /sys/monitoring/telemetry


Streak

Stats


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  1. imgshape imgshape Public

    imgshape is a dataset intelligence toolkit for computer vision that generates deterministic dataset fingerprints, explainable decisions, and production-ready artifacts for reproducible ML workflows.

    Python 4

  2. STiFLeR7 STiFLeR7 Public

    README file for Profile

    1

  3. agentic-rag agentic-rag Public

    agentic-rag is a production-grade Agentic Retrieval-Augmented Generation system engineered to run reliably on consumer laptops (specifically RTX 3050 / 6GB VRAM). It rejects "black box" abstraction…

    Python

  4. antigravity antigravity Public

    Universal LLM Tool Server - Connect Claude, OpenAI, and Gemini to your workspace

    TypeScript

  5. DevPulseAIv2 DevPulseAIv2 Public

    DevPulseAI v3 is a cloud-native intelligence platform that autonomously aggregates signals from high-value developer sources, processes them through a multi-agent LLM pipeline, and delivers curated…

    Python

  6. personal-agent-os personal-agent-os Public

    A production-grade local-first AI agent system that helps you get things done through intelligent task planning, execution, and verification. Designed to listen, remember, and assist.

    Python