Think Circuits

Bridging hardware, software, and the real world with intelligence.

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About the firm

Think Circuits is a technology R&D practice solving crucial real-world technical challenges, elevating the intelligence of technology products with custom artificial intelligence and machine learning development. Led by UC Berkeley EECS PhDs, it designs PCB circuits, embedded software, and advanced DSP and machine learning algorithms for consumer electronics, wearables, IoT devices, robotics, and automotive applications. It bridges the gap between theoretical design and production-ready performance across diverse platforms and technologies.

Team
Micro
Firm type
Electrical Engineering · Software Engineering · Automation & Controls

People

Kevin WeeklyFounder and CEO

Donna WeeklyManaging Member, Organizational Leadership

David BurnettAdvisor

Michael LorekExpert, Electrical and Electronics Engineering

Suraj GowdaExpert, Machine Learning and Biomedical Engineering

HitenProduct and Organizational Development Leader

Capabilities

Hardware Design and Development

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End-to-end hardware engineering from concept to production for consumer electronics and IoT products.

  • PCB Circuit Design

    High-performance circuit design and multi-layer PCB layout optimized for power efficiency and consumer form factors.

  • Sensor and Microcontroller Integration

    Seamless integration of sensors, microcontrollers, and connectivity modules for custom embedded platforms.

Embedded Firmware and Software

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Custom embedded firmware, application development, and real-time operating system implementation for low-power architectures.

  • Real-Time Operating Systems (RTOS)

    Development of robust, deterministic software architectures for timing-critical hardware applications.

  • Low-Power Firmware Optimization

    Advanced power-state management, sensor polling optimization, and efficient battery-use scheduling.

Advanced Software Algorithms

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Scientific algorithm design translating academic research and mathematical theories into high-performance, real-world software.

  • Signal Processing and Filtering

    Digital signal processing solutions leveraging FFT, FIR, and IIR filters, alongside advanced Kalman and Particle filtering.

  • Machine Learning and Neural Networks

    Custom statistical models, CNNs, and DNNs designed for predictive analytics, pattern recognition, and on-device inference.

  • Simultaneous Localization and Mapping (SLAM)

    Advanced localization and navigation algorithms for autonomous systems, robotics, and smart vehicles.

Edge Computing and IoT Solutions

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High-performance computing, optimization, and secure connectivity deployed directly on compute- and memory-constrained devices.

  • Edge AI and Machine Learning

    Deployment of compact machine learning models optimized for microcontrollers and edge hardware to enable real-time local decision-making.

  • Edge Security Solutions

    Secure boot processes, encryption, authenticated OTA updates, and decentralized protocols to protect sensitive edge-level data.

  • Edge Hardware and IoT Development

    Custom electronic hardware architectures designed to execute on-device computing and enable secure IoT communications.

Product Testing and Validation

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Rigorous physical and functional validation to ensure devices meet demanding consumer and regulatory standards.

  • Functional and Reliability Testing

    Stress testing under extreme environments including temperature, humidity, vibration, impact, and prolonged cycle operations.

  • Compliance and Certification Support

    Pre-compliance testing and technical documentation support for regulatory standards including FCC, CE, and UL.

Industries

Consumer Products · Electronics · Automotive · Robotics · Medical Devices · Software

Projects

Wearable AI Biosensor Research Platform

Consumer Products

Project details

Architected and implemented a custom wearable research platform designed to capture electrical bio-signals including EEG, EMG, EKG, and PPG. The system features real-time firmware running on ESP-IDF and custom Python-based signal capture and analysis.

Wireless Charging Integration for Indoor Carts

Robotics

Project details

Assisted with system requirements formulation, architecture design, and component selection to integrate wireless charging capabilities into an indoor cart system.

Battery-Powered Specialized Heating Device

Consumer Products

Project details

Designed a novel battery-powered heating device for a niche consumer electronics application, supporting the product's successful release and subsequent production runs.