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Sandhu93/README.md

Building practical systems across firmware, AI, and real-time visualization.

Profile Views

About

I’m an engineer based in India with 8+ years of experience building products across embedded systems, IoT, edge AI, computer vision, and full-stack development.

My work sits at the boundary between hardware and software — from sensor integration and firmware to inference pipelines, backend services, and real-time visualization.

Tech Stack

Languages

Embedded & Hardware

AI / ML / Vision

Web / Backend

Tools

Selected Projects

Drowsiness Detection on ESP32-S3

On-device drowsiness detection using TensorFlow Lite on ESP32-S3 for edge inference under constrained hardware conditions.

MPU6050 Real-Time Visualizer

ESP32-based MPU6050 streaming pipeline with desktop-side 3D visualization, live plots, and OpenGL rendering.

Face Attendance System

A face-recognition attendance system with deployment support for Raspberry Pi environments.

NL2SQL

A natural-language interface that converts user questions into SQL queries using LLM tooling and structured backend integration.

Current Focus

  • Edge AI on microcontrollers
  • Sensor-driven systems and device communication
  • Computer vision for practical automation
  • Full-stack interfaces for hardware-backed products

📊 GitHub Stats

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  1. nl2sql-agent nl2sql-agent Public

    Python

  2. risk-rag-copilot risk-rag-copilot Public

    A copilot that answers risk/compliance questions using policy documents, annual reports / financial statements, synthetic transaction / exposure tables, SQL tool access for structured queries and, …

    Python

  3. drowsiness-tinyML-esp32s3 drowsiness-tinyML-esp32s3 Public

    C

  4. mpu6050-visualizer mpu6050-visualizer Public

    Python

  5. NL2SQL NL2SQL Public

    Python

  6. Face-Attendance-System Face-Attendance-System Public

    Python