
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Firmware Engineer - Connectivity @ Ford | Ex-Tesla | Automotive | IoT | EdgeAI
Currently working as a Senior Wireless Firmware Engineer at Ford Motors - Ford Greenfield Labs (supporting Wireless Firmware/ Driver integration in automotive infotainment Head Unit). Previously worked with Tesla as an Embedded Software Intern - Vehicle controls. Masters in Computer Engineering with a specialization in Embedded systems. Over eight years of full-time work experience as an Embedded Software Technical Lead with a demonstrated history of working in the automotive software industry. Skilled in Embedded software, device driver, firmware development, security, Model-Based Development on MATLAB, and OBD Base Fault Handler for global emission platforms.
San José State University
Master of Science - MS, Computer Engineering
August 1, 2021 – May 1, 2023
Vishwakarma Institute Of Technology
Bachelor of Technology (B.Tech.), Electronics and Tele-Communication Engineering
August 1, 2012 – May 1, 2015
Cusrow Wadia Institute Of Technology
Diploma in E & TC, Electronics and Telecommunication Engineering
August 1, 2009 – May 1, 2012
Ford Motor Company
Senior Embedded Software Engineer - Connectivity (Wi-Fi)
February 1, 2026 – June 1, 2026
Palo Alto, California, United States · On-site
NXP Semiconductors
Senior Embedded Wireless Firmware Engineer
June 1, 2023 – December 1, 2025
San Francisco Bay Area · On-site
Tesla
Firmware Engineering Intern
August 1, 2022 – May 1, 2023
Palo Alto, California, United States
NXP Semiconductors
Embedded Wireless Firmware Intern
May 1, 2022 – August 1, 2022
San Francisco Bay Area
San Jose State University
Instructional Student Assistant
February 1, 2022 – May 1, 2022
San Jose, California, United States
KPIT
Technical Lead - Embedded Software - Client : Cummins Inc
April 1, 2021 – July 1, 2021
KPIT
Senior Embedded Software Engineer - Client : Cummins Inc
April 1, 2019 – March 1, 2021
KPIT
Embedded Software Engineer - Client : Cummins Inc
June 1, 2017 – March 1, 2019
Tata Technologies
Embedded Software Engineer
July 1, 2015 – June 1, 2017
Pune/Pimpri-Chinchwad Area
Pimpri Chinchwad Municipal Corporation
Project Intern
December 1, 2013 – January 1, 2014
Pimpri Chinchwad, Maharashtra, India
SAAKSHI MACHINE AND TOOLS PRIVATE LIMITED
Engineer Intern
May 1, 2013 – July 1, 2013
Pune/Pimpri-Chinchwad Area
ACE MARIO
August 1, 2021 – December 1, 2021
Worked in a team for recreating the Nintendo game using NXP LPC4078-based hardware, Joystick, and MP3 module. Designed LED Matrix driver, Game logic, animation, and real-time image collision detection.
Multipoint Wireless Data Acquisition System for Vehicle Tracking
January 1, 2014 – May 1, 2015
Integrated data packets to send over Bluetooth and GSM protocol stack to an Android App for Web-based data monitoring using an AVR microcontroller.
Wireless Camera Positioning System
January 1, 2011 – May 1, 2012
A designed mechanism to rotate the camera to track a person by using a stepper motor mounting surface that follows a person or object passing through a lobby covered with IR(Infrared) sensor mountings.
Cultural Fit Analysis
The candidate's project history is heavily focused on embedded systems, firmware, and hardware interaction, which is a significant mismatch for a 'Data Analyst' target role. While there's mention of 'data logging' and 'data monitoring', the core expertise lies in low-level system development rather than data analysis, visualization, or advanced statistical modeling. The projects lack diversity in data-centric technologies (e.g., SQL, Python for data, BI tools, cloud data platforms).
Soft Skills & Operational Fit
The candidate's experience descriptions highlight problem-solving, optimization, and collaboration (e.g., 'Worked in a team', 'Conducted training sessions'). The instructional role at San Jose State University suggests an ability to explain complex topics. However, the provided data does not offer direct insights into stress handling or team collaboration beyond project descriptions.