About

My journey into the world of technology began with a curiosity for how things work beneath the surface. Fascinated by electronics, systems, and code, I pursued engineering and specialized in embedded systems and FPGA design. Over time, I’ve built projects that bridge the gap between hardware precision and software intelligence.

Currently, I am a student at Arizona State University, pursuing my master’s in Electrical Engineering at Arizona State University, specializing in VLSI design, semiconductor packaging, FPGA development, and embedded systems.

Education

Master of Science in Engineering in Electrical Engineering

Coursework: Python for Rapid Engineering Solutions, Machine Learning Basics with Deployment to FPGAs, Communication Network, Fundamentals of Semiconductor Packaging, VLSI Design

Bachelor of Technology in Electronics and Communication Engineering

Coursework: MATLAB Core – I : Fundamentals, Data Processing and Visualization, Computer Organization and Digital Design,
Embedded System Design, Computer Communication Networks, Digital VLSI Design, Control Systems, Advanced Digital Design, Real Time Operating System, Formal Verification of Digital Designs, Architectures for Hardware Acceleration, Verification of Digital Systems, Machine Learning, Autonomous Vehicles Technology, Cyber Security, Hardware Security

Minors in Computer Science Engineering

Coursework: Database Management Systems, Data Structures and Algorithms, Operating Systems

workflow

My Work Experience

Associate Software Engineer

Bosch Global Software Technologies
Jan 2024 – Jun 2024

Began by optimizing the AUTOSAR stack on STM32 microcontrollers, strengthening understanding of embedded firmware workflows and debugging methods. Project work involved firmware flashing on RL78 microcontrollers for particulate matter (PM) sensor samples using the Renesas E1 debugger, selecting the appropriate software build based on supplier requirements (BMW, Mercedes-Benz, etc.). Took charge of End-of-Line (EOL) regression testing for embedded sensor units, focusing on minimizing rework and field issues to improve production pass rates. Utilized the ECU Test Tool to split, create, and automate test cases, enhancing testing efficiency and repeatability.

Student Trainee

Bosch Global Software Technologies
Feb 2023 – May 2023

Focused on CAN relay box hardware improvements and system documentation. Designed workflow blueprints in AutoCAD and developed a comprehensive operation manual detailing system functionality and maintenance procedures. Performed an integration testing called "Cross Referencing Analysis" to compare current performance metrics with previous benchmarks, identifying deviations in memory utilization and other parameters.

Project Trainee

Bosch Global Software Technologies
Jun 2022 – Jul 2022

Validated MRS CAN relay boxes for PM(Particulate Matter) and NOx(Nitrogen Oxide) automotive sensors, ensuring reliable performance under varied operational scenarios. Enhanced test validation workflows using CAN-based applications, increasing validation throughput without compromising accuracy. Built a strong foundation in automotive sensor validation, CAN communication testing, and process optimization, enabling progression to more advanced embedded systems work in later roles.

Experience

Other notable work

Coursera: Completed the Computer Architecture course

ICTCS Conference 2023

Published the paper "Sign Kiosk-A Real-Time Virtual Assistant"

Grader – EEE 334: Circuits II (Arizona State University)

Served as the grader for a junior-level electrical engineering course with over 90 students, evaluating technical lab reports and post-lab submissions on advanced analog circuit topics. Focus areas included operational amplifier configurations (inverting, non-inverting, integrator, differentiator), diode-based circuits (I–V behavior, rectifiers, clippers, clampers, and voltage multipliers), MOSFET parameter extraction, and the frequency response of filters and MOS amplifiers (common-source, common-gate, common-drain).

Assessed students' application of LTSpice simulations—including transient, AC, and DC sweep analyses—and cross-verified results with hands-on hardware measurements using the Analog Discovery Kit (ADK) and MS8217 handheld multimeters. This included analysis of waveforms from oscilloscopes, signal generation through function generators, and frequency response via network analyzers.

Evaluations focused on technical correctness, using percentage error analysis to compare theoretical calculations, simulation output, and experimental data. Maintained rubric-aligned grading with detailed technical feedback to support student learning, while ensuring fairness, academic integrity, and FERPA compliance throughout the semester.