class Shubham {
public:
    std::string focus = "Robotics + Systems + AI";

    std::vector<std::string> languages = {
        "C++", "Python", "Java", "TypeScript", "SQL"
    };

    std::vector<std::string> interests = {
        "Robotics Software",
        "Distributed Systems",
        "AI Infrastructure",
        "Developer Tools"
    };

    std::string currentlyBuilding() {
        return "Reliable software for intelligent systems";
    }
};

• 🤖 Building ROS 2 / C++ / Python software for robotics and intelligent systems
• ⚡ Interested in robotics infrastructure, autonomy, perception & distributed systems
• 🧠 Optimized ML inference from ~92 ms → ~37 ms using ONNX + TensorRT
• ⚙️ Built backend systems supporting millions of daily transactions
• 🚀 Improved backend throughput by ~90% through performance optimization
• 🔬 Experience with sensor integration, diagnostics, telemetry & robotic validation
• 🌍 Active contributor to open-source C++ and Python projects

ROS 2 · rclcpp · TF2 · URDF · DDS · Gazebo · Isaac Sim · CAN · Serial · Ethernet · Sensor Integration

REST APIs · Microservices · Caching · Concurrency · Idempotency · CI/CD · Observability

Computer Vision · Vision Transformers · TensorRT · LLMs · RAG · LangGraph · Pinecone · AI Agents

Production-grade distributed rate limiting infrastructure using Redis + Lua atomic execution.

Highlights

• ⚡ Atomic Redis + Lua rate enforcement
• 🔄 Multiple rate-limiting algorithms
• 📊 Prometheus/Grafana observability
• 🧪 Benchmark and performance suite
• 🐳 Containerized deployment

Tech: Java Redis Lua Docker Prometheus Grafana

Distributed task-processing infrastructure focused on concurrency, reliability and fault tolerance.

Focus: Java · Distributed Systems · Concurrency · Fault Tolerance

AI-powered developer tooling and workflow automation.

Focus: Python · AI Agents · Developer Tools · Automation

Generative AI experimentation with a deployment-oriented inference workflow.

Focus: Python · Generative AI · ML Inference · Jupyter

I actively contribute to external open-source projects across C++, Python, Java, developer tooling, and infrastructure — working on bug fixes, regression tests, reliability improvements, and production codebases.

C++ · Debugging · Regression Testing

• Fixed null-parent handling in orphan Item and Transition range queries
• Hardened composition ancestry traversal against invalid parent access
• Added C++ regression tests covering orphan range-query paths
• Validated changes through build, tests, and CI

Contributed across projects in ecosystems including:

Microsoft · aio-libs · Meilisearch · Academy Software Foundation · Java · Python · C++

Recent contributions include:

• aio-libs/aiomysql
• microsoft/ebpf-for-windows
• meilisearch/meilisearch-java
• mid0/mido
• eko/gocache
• dancormier/openwebui-claude-agent-pipe
• yunaremaia/gfi
• yunaremaia/taintrace

                    Intelligent Systems
                           │
          ┌────────────────┼────────────────┐
          │                │                │
          ▼                ▼                ▼
       Robotics          Systems            AI
          │                │                │
      ROS 2 / C++      Distributed       Computer Vision
      Perception       Systems           ML Inference
      Sensors          Reliability       Agentic AI
      Diagnostics      Performance       RAG / LLMs
      Simulation       Infrastructure    AI Infrastructure

Understand the problem
        │
        ▼
Build the simplest reliable solution
        │
        ▼
Measure real behavior
        │
        ▼
Find the bottleneck
        │
        ▼
Optimize
        │
        ▼
Test failure cases
        │
        ▼
Ship → Observe → Improve → Repeat