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RushyanthN/README.md 
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$ whoami → ML Engineer · GenAI Builder · Voice AI Pioneer

Typing SVG

🧠 About Me

class RushyanthNerellakunta:
    def __init__(self):
        self.role       = "ML / GenAI Engineer"
        self.location   = "Indianapolis, IN 🇺🇸"
        self.experience = "3+ years in production ML"
        self.education  = "M.S. Applied Data Science @ IU (GPA: 3.8)"
        self.cert       = "AWS ML Engineer – Associate ☁️"
        self.superpower = "Turning coffee ☕ into intelligent systems"

    def currently_building(self):
        return [
            "🗣️  Voice-first browser AI @ Kahana",
            "🤖  Multi-agent orchestration systems",
            "🔍  Advanced RAG pipelines",
        ]

    def ask_me_about(self):
        return ["LLMs", "RAG", "MLOps", "Voice AI", "AWS"]

⚡ Tech Arsenal

🧩 Domain 🛠️ Stack
GenAI & LLMs LangChain OpenAI Gemini RAG Agents MCP LoRA/PEFT
ML Frameworks PyTorch TensorFlow Scikit-learn HuggingFace
Cloud & MLOps AWS Docker Kubernetes MLflow GitHub Actions
Data & Infra Apache Spark Snowflake Redis ChromaDB Pinecone
Languages Python SQL C++ Bash JavaScript

🚀 What I'm Building

🗣️ Voice AI Browser — Kahana

"Talk to your browser, not at it"

Built a voice-first browsing layer on Firefox where users navigate, shop, and apply for jobs using natural speech — no clicking required.

Key wins:

  • 🔻 40% latency reduction via serverless Lambda gateway
  • 💰 35% token cost savings with semantic caching
  • 🤖 Multi-agent system (Shopping · Job Apply · Search)
  • 🔌 MCP integration for standardized tool connectivity

AWS Lambda Deepgram Gemini Google ADK FastAPI Redis

🔍 NL→SQL Research Engine — IU COMET Lab

"Ask databases questions in plain English"

End-to-end Natural Language → SQL pipeline enabling non-technical users to query complex databases through conversation.

Key wins:

  • 📈 78% → 92% SQL execution accuracy
  • 🧠 Schema-aware RAG + ReAct reasoning
  • 🛡️ Read-only guardrails + Human-in-the-Loop
  • 📊 60+ ground-truth evaluation harness

LangChain ChromaDB LLaMA-3.3-70B RAG FastAPI

🏗️ Featured Projects

🗂️ All Projects at a Glance

Project Description Impact Stack
💼 Financial RAG (SEC 10-K) NL Q&A over 200+ page annual reports +30% answer completeness ChromaDB · Gemini · PyMuPDF
🤖 Agentic RAG + Self-Correction Multi-stage RAG with semantic routing & reranking 95% accuracy · 0.92+ relevance LangChain · Cross-Encoders
⚡ SparkFlow Distributed ML pipelines (regression, clustering, LDA) 37.5% WSSSE improvement PySpark · Spark MLlib
🫁 ViT vs ResNet50 (Medical AI) Multi-label chest X-ray classification (14 pathologies) AUC-ROC: 0.86+ TensorFlow · Vision Transformers
❄️ SQL Server → Snowflake Migration Automated ETL migration of 70+ tables 3× BI query speedup Python · SnowConvert · Snowflake

📊 GitHub Stats

🏆 Highlights & Wins

🥇  First Prize — State-Level All-Terrain Robotics Competition
🎪  Organizer   — RoboVeda National Robotics Festival
🏸  Treasurer   — Indiana University Badminton Club
☁️  Certified   — AWS Machine Learning Engineer – Associate (Jul 2025 – Jul 2028)
🎓  GPA 3.8/4.0 — M.S. Applied Data Science, Indiana University

🌐 Let's Connect

Email LinkedIn GitHub

╔══════════════════════════════════════════════════════════════╗
║   "Strong collaborator skilled at translating complex AI     ║
║    capabilities into customer-facing products and            ║
║    actionable business insights."                            ║
║                                                              ║
║                              — Rushyanth Nerellakunta        ║
╚══════════════════════════════════════════════════════════════╝

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