🤖 Kunj Shah | Agentic AI Developer

class AgenticAIDeveloper:
    """
    An AI developer who doesn't just build models—I build autonomous agents 
    that think, plan, and execute complex tasks independently.
    """
    def __init__(self):
        self.name = "Kunj Shah"
        self.role = "Agentic AI Developer & Systems Architect"
        self.location = "Ahmedabad, India 🇮🇳"
        self.education = "Indus University | CS (SGPA: 8.7)"
        self.mission = "Democratizing AI through autonomous agent systems"
    def specializations(self):
        return {
            "agentic_systems": [
                "Multi-agent orchestration",
                "Autonomous decision-making systems",
                "Tool-using AI agents",
                "ReAct & Chain-of-Thought prompting",
                "Agent memory & context management"
            ],
            "llm_engineering": [
                "Fine-tuning GPT & LLaMA models",
                "Retrieval-Augmented Generation (RAG)",
                "Prompt engineering & optimization",
                "Custom tokenizer development",
                "Model evaluation & benchmarking"
            ],
            "ai_frameworks": [
                "LangChain & LangGraph",
                "AutoGPT & CrewAI",
                "Semantic Kernel",
                "Custom agent frameworks",
                "LLM orchestration pipelines"
            ]
        }
    def current_missions(self):
        return [
            "🧠 Building multi-agent systems for complex task decomposition",
            "⚡ Developing high-performance LLM inference pipelines",
            "🔧 Creating developer tools for AI agent workflows",
            "📚 Fine-tuning domain-specific language models",
            "🌍 Contributing to open-source AI agent frameworks"
        ]
    def agent_philosophy(self):
        return """
        Agentic AI isn't about replacing humans—it's about amplifying 
        human potential through intelligent automation. I build agents 
        that reason, learn, and adapt to solve real-world problems.
        """

# Initialize
agent_developer = AgenticAIDeveloper()
print(agent_developer.agent_philosophy())

A local-first AI-powered code review tool with 13+ specialized analyzers for security, quality, and accessibility.

🎯 Key Features:

• 🔒 Security Scanning - SQL injection, XSS, secrets detection, Docker/K8s security
• 🤖 Multi-LLM Support - OpenAI, Groq, Gemini, Anthropic, OpenRouter integration
• 💎 TypeScript Analysis - Type safety checks, any detection, strict mode validation
• ⚛️ React Analysis - Hooks rules, performance optimization, JSX validation
• ♿ Accessibility - WCAG 2.1 compliance, ARIA validation, semantic HTML checks
• 📦 Dependency Scanning - CVE detection, license compliance, npm audit integration
• 🔧 Auto-fix Capabilities - Automatically fix common code issues
• 🌐 Web Dashboard - Beautiful visualization of security posture and trends
• 🔗 GitHub PR Integration - Post reviews directly to pull requests
• 📊 SARIF Output - GitHub Security tab integration

🛠️ Tech Stack: Node.js, JavaScript, AI/LLM APIs, Docker, Kubernetes

🌟 Why It's Special: Unlike hosted SaaS tools, Sentinel runs 100% locally—your code never leaves your machine. You control your AI keys and data privacy.

🔗 View Repository → | 📦 npm Package →

A comprehensive framework for building intelligent AI agents with autonomous execution capabilities.

🎯 Key Features:

• 🤖 Multi-agent orchestration with task delegation
• 🧩 Modular tool integration (web search, code execution, file operations)
• 🔄 Chain-of-thought reasoning & planning
• 📊 Real-time agent state monitoring
• 🔌 RESTful API for agent deployment
• 💾 Persistent memory & context management

🛠️ Tech Stack: Python, LangChain, OpenAI GPT-4, FastAPI, PostgreSQL

🔗 View Repository →

Custom tokenization and GPT fine-tuning for Sanskrit language preservation through AI.

🎯 Key Features:

• 📚 BPE tokenizer built from scratch for Sanskrit
• 🧘 Fine-tuning pipeline for GPT-3.5/GPT-4
• 🔤 Devanagari script handling
• 🌍 Multilingual support (Sanskrit, Hindi, English)
• 📊 Custom evaluation metrics for cultural NLP

🛠️ Tech Stack: Python, Transformers, PyTorch, Regex, OpenAI API

🔗 View Repository →

An intelligent agent that analyzes resumes and matches candidates with optimal opportunities.

🎯 Key Features:

• 📄 Advanced resume parsing with NER
• 🎯 Semantic job-resume matching
• 🔍 Skills gap analysis with recommendations
• 💼 ATS optimization suggestions
• 📊 Real-time job market insights

🛠️ Tech Stack: Python, spaCy, Transformers, FastAPI, React, PostgreSQL

🔗 View Repository →

Core Metrics	Development Activity
Tech Stack Distribution	Contribution Heatmap
Coding Patterns	Achievements
Project Analytics	Community Impact
Notable Contributions	Community Engagement

🎓 Indus University | Bachelor of Technology in Computer Science (3rd Year)

• SGPA: 8.7/10
• Focus Areas: Artificial Intelligence, Machine Learning, Agentic Systems, Software Engineering
• Key Courses: Deep Learning, NLP, Distributed Systems, Algorithm Design

📍 Location: Ahmedabad, India 🇮🇳

This README is autonomously maintained by a GitHub Actions agent—practicing what I preach!

🤖 Automated Updates Include:

• ✅ Daily metrics refresh (commits, PRs, stars, issues)
• ✅ Language distribution & coding activity analysis
• ✅ Achievement tracking & badge updates
• ✅ Community engagement metrics
• ✅ Project statistics synchronization

⏰ Update Frequency: Every 24 hours at 00:00 UTC

Yes, even my README is agentic! 🎯

🌐 Connect With Me

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🌟 "First, solve the problem. Then, write the code. But best? Build an agent to solve it autonomously."

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Made with 💙, ☕, and 🤖 by Kunj Shah

⭐ If my work resonates with you, consider starring my repositories!

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