class AIEngineer:
def __init__(self):
self.name = "Daanish Mittal"
self.role = "AI-Centric Full-Stack Engineer"
self.focus = [
"AI Agents", "A2A Protocol", "LLMs", "LangGraph",
"Computer Vision", "Edge AI", "Speech AI",
"Full-Stack", "Observability", "MLOps"
]
self.languages = ["Python", "Java", "JavaScript", "C++"]
self.ai_stack = ["LangChain", "LangGraph", "LangSmith", "LangFuse",
"PyTorch", "HuggingFace", "OpenCV", "Whisper",
"OpenAI", "Gemini", "RAG", "A2A Protocol"]
self.backend = ["FastAPI", "Spring Boot", "Flask", "REST APIs",
"Node.js", "MongoDB", "MySQL"]
self.frontend = ["React", "HTML5", "CSS3", "JavaScript"]
self.observability= ["LangSmith", "LangFuse", "Tracing", "Evaluation",
"Pylint", "ESLint", "Pytest"]
self.currently = "🔬 Building multi-agent A2A + LangGraph systems"
self.contact = "daanishmittal24@gmail.com"
self.linkedin = "linkedin.com/in/daanish-mittal"
self.philosophy = "Build things that think. Observe. Test. Ship."
def say_hi(self):
print("Thanks for dropping by! Let's build something intelligent together 🤖")
me = AIEngineer()
me.say_hi()
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┌──────────────────────────────────────────────────────────────────────────┐
│ 🤖 AGENTIC AI / LLMs │
│ LLMs · LangChain · LangGraph · A2A Protocol · RAG · Prompt Eng │
│ OpenAI · Gemini · HuggingFace · Multi-Agent Orchestration │
├───────────────────────────┬──────────────────────────────────────────────┤
│ 🔭 OBSERVABILITY │ 🧪 TESTING & MLOPS │
│ LangSmith · LangFuse │ Eval · CI/CD · Pylint · ESLint · Pytest │
├───────────────────────────┼──────────────────────────────────────────────┤
│ 🌐 BACKEND │ 🛒 FULL-STACK & FRONTEND │
│ FastAPI · Spring Boot │ React · HTML5 · CSS3 · JavaScript │
│ Flask · Node.js · APIs │ E-Commerce · Cart · Payments │
│ MongoDB · MySQL · Auth │ PyQt5 · Component Design │
├───────────────────────────┴──────────────────────────────────────────────┤
│ 👁️ CV · NLP · SPEECH · EDGE AI │
│ OpenCV · Whisper · PyTorch · CUDA · Segmentation · Edge Devices │
└──────────────────────────────────────────────────────────────────────────┘
A production-grade multi-agent system built on the A2A (Agent-to-Agent) protocol with LangGraph orchestration — 4 specialized agents collaborating autonomously on Gmail management, web summarization, multi-step planning, and GitHub integration. Fully traced via LangSmith for observability. Tech:
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A complete end-to-end e-commerce platform with product management, user authentication, shopping cart, payment processing, and order management — built with React frontend and Spring Boot backend. Tech:
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🎤 VoxBeam
A sophisticated Python-based voice command system with GPU-accelerated inference, real-time speech recognition, adaptive noise reduction, and a PyQt5 desktop GUI. Tech:
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🤖 EDGE-AI
Real-time image annotation and polygon detection system for edge devices. Handles segmentation, bounding boxes, and custom annotation workflows. Tech:
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AI-driven garment design and visualization tool leveraging generative models for fashion-tech applications. Tech:
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End-to-end automated testing platform with custom linting rules, performance benchmarking, and MongoDB-backed scoring for code submissions. Tech:
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Converts video content to structured text using AI-powered speech and scene recognition. Tech:
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Machine learning model for prostate cancer detection using medical imaging and clinical data analysis. Tech:
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🤖 Currently building → Multi-agent A2A + LangGraph systems & full-stack AI platforms.
🌱 Exploring → Multimodal LLMs, RAG, LangFuse observability, AI orchestration, etc.
🎯 Goal 2026 → Ship production-grade AI systems.
🤝 Open to → Collaborations on AI/ML, full-stack & agentic projects.
⚡ Fun fact → I think in AI pipelines even when I'm offline 🧠
💬 Open to collabs on AI agents, full-stack apps, and production AI systems. Let's build something intelligent!
⚡ "The best way to predict the future is to build it — with AI."