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RajMandaliya/README.md

Hey, I'm Raj 👋

Software Engineer specializing in Rust, distributed systems, and production AI engineering.

I build systems that handle real scale — from Rust-based edge services processing 10M+ requests daily to real-time anomaly detection pipelines and LLM-powered data agents.

  • ⚙️ High-performance backend systems in Rust (Tokio, Actix Web)
  • 📡 Event-driven architecture with Apache Kafka
  • 🤖 Production ML systems — anomaly detection, LLM agents, time-series forecasting
  • ☁️ Cloud-native infrastructure — Docker, Kubernetes, AWS, GCP

🚀 Featured Projects

🚨 Anomaly Detection System

Real-time detection pipeline across three live Kafka streams — server metrics, financial transactions, and IoT sensors.

  • PyOD ensemble (IForest + LOF + HBOS) with majority voting
  • Warm-up buffer + automatic concept drift re-fitting every 500 events
  • FastAPI REST + WebSocket live alert feed
  • Persisted to PostgreSQL with full feature context
  • 44 pytest tests · Fully Dockerized

Stack: Kafka · PyOD · FastAPI · PostgreSQL · Docker · Python

🤖 LLM-Powered Data Analyst Agent

Upload any CSV and ask questions in plain English — the agent reasons over your data and returns charts, stats, and insights.

  • LangChain ReAct agent with three custom tools: PandasTool, PlotlyTool, StatsTool
  • Full CSV schema injected into system prompt for accurate reasoning
  • Conversation memory enables natural follow-up questions
  • 56 pytest tests · Works on any CSV with zero hardcoding

Stack: LangChain · GPT-4o · Pandas · Plotly · Streamlit · FastAPI · Python

🦀 Mini-Agent: Rust AI Agent Framework

Rust-based AI agent implementing the full plan → act → observe execution loop.

  • Modular tool system with dynamic tool registration
  • Async architecture with Tokio for scalable multi-step task execution
  • Memory-safe by design using Rust ownership model
  • Published as a reusable library on crates.io

Stack: Rust · Tokio · LLM · Async

🛠 Tech Stack

Languages Rust • Python • Java • TypeScript • Go • C++ • Kotlin

Backend Tokio • Actix Web • Spring Boot • FastAPI • Django • Flask • SQLAlchemy • Pydantic

AI / ML PyOD • TensorFlow • Scikit-learn • LangChain • LLM Agents • MLflow • Ensemble ML

Frontend React.js • AngularJS • Streamlit • Plotly • WebSockets

Infrastructure Kafka • Redis • Docker • Kubernetes • Terraform • AWS • GCP • Azure • GitHub Actions

Databases PostgreSQL • MySQL • Redshift • Snowflake • CockroachDB • Amazon S3

📊 GitHub Stats

📈 Activity Graph

🤝 Connect

💡 Open to Senior SDE, Staff Engineer, and ML Engineering roles in distributed systems, backend infrastructure, or AI/ML platforms.

Pinned Loading

  1. Async-pipeline Async-pipeline Public

    Async, modular Rust pipeline for candidate ranking: sourcing → hydration → filtering → scoring → selection → side effects

    Rust 1

  2. mini-agent mini-agent Public

    A minimal, async-first AI agent framework in Rust with multi-provider support (OpenRouter, OpenAI, Anthropic, Ollama), JSON schema-based tool calling, and a clean ReAct-style agent loop.

    Rust 13

  3. rust-chat-server rust-chat-server Public

    Async chat server in Rust demonstrating concurrency, networking, and clean architecture

    Rust 1

  4. anomaly-stream-detector anomaly-stream-detector Public

    Real-time anomaly detection over Kafka streams using PyOD ensemble ML (IForest + LOF + HBOS) — monitors server metrics, transactions, and IoT sensors with FastAPI REST + WebSocket alerts

    Python 1

  5. data-chat-agent data-chat-agent Public

    Upload any CSV and ask questions in plain English — LangChain ReAct agent with Pandas, Plotly charts, and statistical analysis powered by GPT-4o mini

    Python 1