Specializing in embedded systems, IoT platforms, AI evaluation, and protocol-based testing
$ cat mohit_profile.json
{
"name": "Mohit Mungra",
"role": "Digital Engineer",
"location": "Ahmedabad, Gujarat",
"company": "MosChip Technologies",
"expertise": ["IoT", "Embedded", "BSP", "AI Eval", "Automation"],
"status": "Employed"
}
$ _
Digital Engineer with 1+ years of hands-on experience in automation testing, BSP validation, AI evaluation frameworks, and system-level validation across embedded, mobile, and backend systems.
I specialize in protocol-based systems, EV charging solutions, IoT and Android applications, BSP and DDR RAM validation, AI response evaluation, and web automation frameworks. My approach combines meticulous attention to detail with systematic problem-solving to ensure robust system validation.
Known for breaking down complex systems, identifying edge cases, and improving test coverage through structured test cases and automation. Quick learner with strong fundamentals in testing concepts, protocols, scripting, and AI-based evaluation frameworks.
Board Support Package validation on Raspberry Pi covering DDR RAM memory testing across 21 structured test cases and embedded protocol validation using I2C, SPI, and EEPROM.
Automated AI evaluation framework that reads questions from Excel, sends them to an LLM, captures responses, and evaluates them using DeepEval metrics in both PDF-context and general modes.
End-to-end web automation for the KBFC project covering functional validation of user flows, form interactions, and dynamic content with automated screenshot capture on failures.
End-to-end testing of OCPP-based EV charging solution with web testbench UI for automated compliance validation.
Comprehensive automation framework for validating Bluetooth and Wi-Fi on ESP32 using Raspberry Pi as host controller.
Industrial IoT validation ensuring reliable machine-to-cloud data flow with OPC UA integration and Azure services.
Manual and automation testing of smart home applications with Matter protocol and firmware validation.
AI-assisted QA workflows using GitLab Duo for CI/CD debugging, security validation, and test improvement.
Automation of Android Auto and automotive interfaces with UI behavior validation and image comparison.
AI-powered e-commerce validation with face recognition and emotion detection on Qualcomm edge hardware.
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