Rudraksh Rudraksh2605

`whoami`

data class Rudraksh(
    val name     : String = "Rudraksh",
    val location : String = "Bhopal, India",
    val education: String = "B.Tech CSE @ VIT",
    val status   : String = "Open to opportunities",
)

val expertise = listOf(
    "Android · Kotlin · Jetpack Compose",
    "GenAI & LLM Engineering",
    "Agentic AI & RAG Systems",
    "On-Device ML (TFLite)",
    "IoT & Cloud Integration",
)

val currentFocus = mapOf(
    "Android" to "KMP + Compose",
    "AI"      to "Local RAG + Agents",
)

By the numbers


📱 Android projects	5+
🤖 LLMs integrated	6
📐 UML diagram types	9
🛡️ Compliance rules	15
⭐ Lines of code	10K+
🏆 LeetCode rank	402 / 36,350
👥 Devs mentored	10+

Android    ████████████████████ 60%
AI/GenAI   ████████████░░░░░░░░ 30%
OSS        ██████░░░░░░░░░░░░░░ 10%

📱 Android Projects

⌨️ SpeedBoard — BLE Keyboard

Turn any Android device into a Bluetooth HID peripheral.

<50ms latency · 95% device compat · 99.9% uptime

🏥 SkinDoc — AI Dermatology

On-device AI skin diagnosis — zero cloud dependency.

90% accuracy · 5-min diagnosis · TFLite quantized

🧑‍💻 DevStore — Dev App Platform

Curated app distribution platform for developers.

1,000+ registrations · Secure APKs · Analytics

🌡️ TEMPSOR — IoT Monitor

Industrial sensor monitoring via Android + Azure.

98% accuracy · 40% cost reduction · 5× faster detection

🤖 GenAI & Agentic AI Projects

🔬 Android Project Visualizer

Local-first RAG engine for Android codebase analysis

Models:    DeepSeek 6.7B + Qwen2.5-Coder 7B (local)
Vector DB: ChromaDB cosine similarity
Diagrams:  9 UML types via IR → PlantUML compiler
Security:  10-category parallel audit, JSON output

📊 Task-aware LLM routing across 20+ analysis types
🔄 JSON IR → validated → deterministic PlantUML
⚡ Parallel diagram gen via ThreadPoolExecutor
🔍 Query expansion + retrieval caching

🚗 GenAI Vehicle Diagnostics

Agentic SDV platform — code that writes and fixes itself

LLMs:   Gemini 2.5 → GPT-4o → Local GGUF (fallback)
Loop:   Generate → Test → LLM-fix → Re-test (×3)
OTA:    Hot-loads AI modules into live FastAPI runtime
Tests:  100 passing · 99/100 CI green

🔄 Iterative build loop with automatic error recovery
🌐 Multi-LLM compare: Gemini vs GPT vs Local
✅ 15 MISRA/AUTOSAR rules auto-checked
🧠 RandomForest + IsolationForest ML pipeline

⚙️ Tech Stack

Android & Mobile

AI / ML

LangChain · ChromaDB · Ollama · HuggingFace · Gemini · GPT-4o · FAISS · mxbai-embed

Cloud & Backend

📊 GitHub Stats

🏆 Achievements

	Achievement	Result	Scale
🚀	HPE Think-A-Thon 2025	6th Place	250+ participants
🧩	LeetCode Contest 468	Top 1.1% globally	Rank 402 / 36,350
📘	GeeksForGeeks	Top 20.1%	Technical excellence
👨‍💻	Technical Lead — VIT Software Dev Club	3 apps shipped	10+ devs mentored

🗓️ Journey

2023  ─  Android Club Core Member
         └─ Flutter app · 500+ MAUs · 99.8% uptime

2024  ─  Technical Lead — Software Dev Club, VIT
         └─ 10+ developers mentored · 3 production releases

2025  ─  GenAI & Agentic AI Engineer
         └─ Local RAG pipelines · LLM routing
            Agentic code generation · MISRA compliance automation
            Multi-LLM orchestration · On-device ML

Let's build something

"Ship apps. Train agents. Repeat."

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