MOHIT MUNGRA

Digital Engineer |

Specializing in embedded systems, IoT platforms, AI evaluation, and protocol-based testing

1+
Years Experience
10+
Projects
15+
Technologies
system_info.sh

$ 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"

}

$ _

01. About Me

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.

โšก
End-to-end testing expertise
๐Ÿ”ง
BSP & embedded protocol validation
๐Ÿค–
AI response evaluation with DeepEval
๐Ÿ“Š
Log analysis & automated reporting
My Photo

02. Technical Arsenal

๐Ÿงช QA & Automation Testing

Pytest Selenium Appium Protocol Testing BSP Validation CI/CD

๐ŸŒ IoT & Protocols

OCPP MQTT Modbus TCP/IP OPC UA SNMP DNP3.0 Wi-Fi BLE

โš™๏ธ Embedded Systems

ESP32 Raspberry Pi CM4 DDR RAM Testing I2C SPI EEPROM UART CAN

๐Ÿค– AI Evaluation

DeepEval LLM Testing Answer Relevancy Faithfulness Contextual Precision Excel-driven Pipelines

๐Ÿ’ป Programming

Python C C++ JavaScript React.js Node.js

๐Ÿ› ๏ธ Tools & Platforms

Git GitLab CI/CD Jenkins Docker AWS Azure IoT FastAPI PostgreSQL DeepEval

03. Professional Journey

Dec 2024 - Present

Digital Engineer

MosChip Technologies Limited

  • BSP validation including DDR RAM memory testing and embedded protocol validation on Raspberry Pi
  • Built AI evaluation framework using DeepEval for automated LLM response assessment
  • Developing automation frameworks for Bluetooth, Wi-Fi, and web application testing
  • Working with embedded systems (ESP32, Raspberry Pi) and IoT platforms
  • Protocol-based testing including OCPP, MQTT, and Modbus
May 2023 - Jun 2023

Frontend Developer (Intern)

Miracle Technolabs

  • Built responsive company website using React.js and JavaScript
  • Strengthened frontend skills through real-world project implementation
  • Followed industry-standard development practices
2021 - 2025

Bachelor of Technology

CHARUSAT University

  • Information Technology | CGPA: 8.1
  • SSIP 2nd Runner's Up - Student Startup Hackathon
  • Training & Placement Representative
  • Central Council Member & AWS Cloud Club

04. Featured Projects

๐Ÿ”ฌ

BSP Validation โ€“ DDR RAM & Protocol Testing

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.

Python Pytest Raspberry Pi I2C / SPI EEPROM
โœ“ 21 DDR RAM test cases (pattern, address, bandwidth, stress)
โœ“ Rowhammer vulnerability testing
โœ“ Protocol-level peripheral validation
๐Ÿง 

PTAF Core โ€“ AI Response Evaluation

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.

Python DeepEval Pytest Excel Automation LLM Testing
โœ“ Excel-driven Q&A ingestion pipeline
โœ“ PDF-context & general evaluation modes
โœ“ Metric scoring: relevancy, faithfulness, precision
๐ŸŒ

KBFC โ€“ Website Automation

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.

Python Selenium Pytest Web Automation
โœ“ Navigation, forms & dynamic content testing
โœ“ Auto screenshot capture on failure
โœ“ Structured test reporting
โšก

EV Charging Ecosystem

End-to-end testing of OCPP-based EV charging solution with web testbench UI for automated compliance validation.

Python Pytest OCPP FastAPI WebSocket
โœ“ OCPP protocol validation
โœ“ Automated test execution dashboard
โœ“ Transaction flow testing
๐Ÿ“ก

BLE & Wi-Fi Automation Framework

Comprehensive automation framework for validating Bluetooth and Wi-Fi on ESP32 using Raspberry Pi as host controller.

Python ESP32 Raspberry Pi BLE UART
โœ“ Automated device discovery & pairing
โœ“ AT command validation
โœ“ Mobile automation with Appium
๐Ÿญ

Industrial GenAIoT

Industrial IoT validation ensuring reliable machine-to-cloud data flow with OPC UA integration and Azure services.

Python OPC UA Azure IoT C2D
โœ“ End-to-end data pipeline validation
โœ“ FOTA update testing
โœ“ Automated reporting & analysis
๐Ÿ 

Smart Home IoT Testing

Manual and automation testing of smart home applications with Matter protocol and firmware validation.

Android Matter Python OTA
โœ“ Wi-Fi & Matter connectivity testing
โœ“ Firmware flashing validation
โœ“ Multi-platform app testing
๐Ÿค–

GitLab Duo Ultimate

AI-assisted QA workflows using GitLab Duo for CI/CD debugging, security validation, and test improvement.

GitLab CI/CD AI Tools SAST MR Review
โœ“ CI/CD pipeline failure analysis
โœ“ AI-assisted security scanning
โœ“ Test case improvement
๐Ÿš—

Android Automotive Automation

Automation of Android Auto and automotive interfaces with UI behavior validation and image comparison.

Appium Python Android Studio
โœ“ Drive mode automation
โœ“ UI validation with image comparison
โœ“ Real device testing
๐Ÿ›’

Smart Grocery Store

AI-powered e-commerce validation with face recognition and emotion detection on Qualcomm edge hardware.

Android AI/ML Edge Computing
โœ“ Face recognition validation
โœ“ Edge case testing
โœ“ Hardware integration testing

05. Get In Touch

Send me a message

Have a question or want to work together? Fill out the form and I'll get back to you as soon as possible!

Contact Information

Feel free to reach out through any of these channels

Currently working at MosChip Technologies