Aashish Chandra Aashish-Chandr

👾 About Me

class AashishChandra:
    def __init__(self):
        self.name        = "Aashish Chandra"
        self.username    = "Aashish-Chandr"
        self.college     = "Rajiv Gandhi Institute of Petroleum Technology (RGIPT)"
        self.location    = "Raebareli, Uttar Pradesh 🇮🇳"
        self.org         = "TeamVolzo"

        self.passion     = [
            "🧠  Building AI systems that think, learn and heal themselves",
            "☸️  Designing production-grade Kubernetes platforms",
            "👁️  Solving real-world problems with Computer Vision",
            "🔒  Making infrastructure autonomous and self-sufficient",
        ]

        self.currently   = {
            "building"  : "InfraGPT — AI-Powered Self-Healing K8s Platform",
            "learning"  : ["LLM Agents", "Advanced MLOps", "Cloud-Native Patterns"],
            "exploring" : "Where AI meets DevOps meets Computer Vision",
        }

        self.fun_fact    = "I build systems that fix themselves so I can sleep peacefully 😴"

    def say_hello(self):
        print("Hey there! Let's build something extraordinary together 🚀")

🛠️ Tech Arsenal

🤖 AI · ML · Computer Vision

☸️ DevOps · Cloud · Kubernetes

🌐 Backend · Frontend · Databases

🔧 Tools · Platforms

🚀 Featured Projects

☸️ InfraGPT — AI-Powered Self-Healing Kubernetes Platform

The crown jewel. A production-grade platform where AI watches your Kubernetes cluster 24/7 — predicting anomalies before they happen, healing failures automatically, and explaining everything in plain English.

Stack: Python · TypeScript · Terraform · kopf Operator · ArgoCD · Prometheus
       Grafana · Loki · Jaeger · HashiCorp Vault · Kyverno · React · FastAPI

Module	What it does
🤖 AI Engine	Facebook Prophet + Isolation Forest trained on 30d of Prometheus metrics
🧠 LLM RCA	GPT-4 / Claude explains root causes in plain English with deployment correlation
☸️ kopf Operator	Watches HealingPolicy CRDs → auto-rollback, restart, scale, notify
🔄 GitOps	ArgoCD ApplicationSet → every Git push is a deployment
🔐 Zero Secrets in Git	All secrets flow through HashiCorp Vault with K8s auth
📊 Full Observability	Metrics (Prometheus/Grafana) + Logs (Loki) + Traces (Jaeger)
💰 Cost Optimizer	Detects over-provisioned pods and estimates monthly AWS savings
🔥 Chaos Mode	Intentionally breaks things to prove self-healing works

📉 MTTR: 15 minutes → 90 seconds | 🎯 Auto-Heal Success Rate: ~87%

🧠 Self-Healing AI Brain

An autonomous AI system that monitors its own runtime, detects anomalies, diagnoses root causes, and self-repairs — without human intervention.

Monitor → Detect → Diagnose → Repair → Verify → Learn → Repeat

Stack: Python · LangChain · OpenAI / Anthropic · ChromaDB / FAISS
       Prometheus · Redis · Docker

🚗 Indian Vehicle Number Plate Detector

A fully-deployed web application that detects and reads Indian vehicle license plates from uploaded images — live on Vercel.

🌐 Live Demo: indian-vehicle-number-plate-detecto.vercel.app

Stack: Python · Flask · OpenCV · Tesseract OCR · scikit-learn
       HTML · CSS · JavaScript · Bootstrap · Vercel

Feature	Detail
🔍 Plate Detection	OpenCV-based region detection + contour analysis
📝 OCR Engine	Tesseract with Indian plate format tuning
🏋️ Custom Training	Upload your own dataset → retrain in-browser
🌏 Multi-format	Indian, European, American plate support
☁️ Deployed	Production-ready on Vercel

😊 Emotion Detector from Images

A computer vision app that detects and classifies human emotions from facial expressions using the pre-trained DeepFace model — no training required, zero setup.

Stack: Python · DeepFace · OpenCV · Streamlit · Matplotlib

Detected Emotions: 😠 Angry · 🤢 Disgust · 😨 Fear · 😄 Happy · 😢 Sad · 😲 Surprise · 😐 Neutral

📊 Live GitHub Stats

🎯 Skill Proficiency

AI & Machine Learning        ████████████████████░  95%
Computer Vision              ███████████████████░░  90%
Python Development           ████████████████████░  95%
Kubernetes & Cloud           ████████████████░░░░░  80%
DevOps & GitOps              ███████████████░░░░░░  75%
TypeScript & React           ████████████░░░░░░░░░  60%
Infrastructure as Code       ███████████████░░░░░░  75%
LLM Engineering & Prompting  ████████████████████░  95%

🏆 GitHub Trophies

🌐 Where to Find Me

💡 What Drives Me

┌────────────────────────────────────────────────────────────────────┐
│                                                                    │
│   I believe the best engineers build systems that work even        │
│   when they're not watching. Systems that learn, adapt, and        │
│   heal themselves. That's the intersection I live in —             │
│   where AI meets infrastructure meets real-world impact.           │
│                                                                    │
│   From detecting emotions in a face, to reading license            │
│   plates on Indian roads, to building Kubernetes platforms         │
│   that fix themselves at 3am — every project I build               │
│   solves a real problem and pushes a boundary.                     │
│                                                                    │
│   I'm an undergraduate at RGIPT with a senior engineer's           │
│   appetite for production-grade, battle-tested solutions.          │
│                                                                    │
└────────────────────────────────────────────────────────────────────┘

📈 Contribution Activity

🔢 By The Numbers

⚡ Quick Facts


🎓 College	Rajiv Gandhi Institute of Petroleum Technology (RGIPT)
📍 Location	Raebareli, Uttar Pradesh, India
🏢 Organization	TeamVolzo
💬 Ask me about	AI/ML · Kubernetes · Computer Vision · LLM Engineering
🌱 Currently learning	Advanced MLOps · LLM Agents · Cloud-Native Architecture
🤝 Looking for	Internships · Research Collabs · Open Source Contributions
⚡ Fun fact	My AI systems debug themselves so I can focus on building new ones

"The best infrastructure is the kind that fixes itself."

⭐ If any of my projects inspired you, a star goes a long way!

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