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Chandan Sai Pavan Padala

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Professional Overview

I am a 3rd-year B.Tech student majoring in Electronics and Communication Engineering (ECE), currently based in Bengaluru. My core focus lies in bridging the gap between hardware and software, with specialized interests in embedded systems, robotics, and the application of Machine Learning in physical systems.

I am highly driven by a long-term objective to serve in the Indian Armed Forces, intending to leverage my technical expertise in robotics and defense electronics. Outside of engineering, I maintain a rigorous physical training regimen, including daily fitness conditioning and competitive badminton, to support this goal.

  • Academic Standing: 6th Semester, B.Tech ECE
  • Current Focus: Developing Real-Time Operating System (RTOS) and microcontroller-based architectures.
  • Research & Publications: Currently drafting an IEEE conference paper focusing on a low-power, high-speed dynamic comparator design.
  • Ongoing Learning: Advanced Machine Learning concepts for hardware integration and autonomous system navigation.

Technical Proficiencies

Hardware & Core Technologies: ARM Cortex-M4 | ESP32 | Raspberry Pi | Raspberry Pi Pico | Microwave Radar Systems | FreeRTOS | IoT Architecture | Digital IC Design

Languages and Tools:

c cplusplus python raspberrypi git tensorflow


Ongoing Projects

  • H.A.W.K. (Human Activity Detection Through Walls): A sophisticated detection system utilizing microwave radar, powered by an ESP32 and orchestrated using FreeRTOS.
  • TARA (Tracking Adaptive Road Autonomous Car): An autonomous vehicle architecture leveraging the combined processing capabilities of a Raspberry Pi and ESP32 for adaptive navigation and environmental mapping.
  • Web-Based Digital IC Tester: A hardware testing infrastructure built around the Raspberry Pi Pico and MCP23017 I/O expanders to validate digital integrated circuits.
  • Embedded Systems Laboratory Implementation: Designing and implementing real-time operations using an ARM Cortex-M4 microcontroller running FreeRTOS.

GitHub Analytics

GitHub Stats

Top Languages

GitHub Streak


Contact & Links

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  1. Web-Based_Digital_IC_Tester Web-Based_Digital_IC_Tester Public

    A full-stack, Web-Based Digital IC Tester built with a Raspberry Pi Pico and MCP23017 expanders. Features dynamic pin routing, truth-table verification, and a Web Serial API frontend.

    JavaScript

  2. OmniMind-TheIntelligentSecondBrain OmniMind-TheIntelligentSecondBrain Public

    OmniMind is a Gemini 2.5 powered "Second Brain" that uses a universal "Omni-Bar" to automatically categorize and store scattered links and thoughts. Built on Next.js 16 and Supabase, it transforms …

    TypeScript

  3. H.A.W.K-HumanActivityDetectionThroughWallsUsingMicrowaveKinetics H.A.W.K-HumanActivityDetectionThroughWallsUsingMicrowaveKinetics Public

    RTOS-based embedded system for through-wall human detection using microwave Doppler radar and ESP32. Detects micro-movements like breathing and heartbeat in non-line-of-sight environments, enabling…

    C++

  4. TARA-Tracking_Adaptive_Road_Autonomous_Car TARA-Tracking_Adaptive_Road_Autonomous_Car Public

    TÁRA is an autonomous vehicle featuring a dual-core Pi 4B and ESP32 architecture for vision and real-time control. It integrates ISO 26262 safety protocols like UART heartbeat monitoring, POST, and…

    C++ 1

  5. UltraLowVoltageLowPowerCompressor-CadenceVirtuoso UltraLowVoltageLowPowerCompressor-CadenceVirtuoso Public

    Designed and simulated ultra low-voltage, low-power CMOS 5:2 compressors in Cadence Virtuoso, based on Figure 13 from the referenced IEEE paper. Focused on optimizing power, delay, and area for eff…

    1

  6. rushikesh-D69/Music-Recommendation-System-Based-on-Acoustic-Features rushikesh-D69/Music-Recommendation-System-Based-on-Acoustic-Features Public

    Python 1 1