Embedded Systems • UAV Engineering • Mission Critical
I care about doing things properly, not just getting them done. When I work on something, I like to understand how it actually functions—whether it's a circuit, a piece of code, or a system as a whole. I tend to break problems down, test ideas, and improve them step by step until they make sense and work reliably.
Engineering Philosophy & Core Values
I'm consistent more than anything else. I show up, put in the effort, and keep learning as I go. I don't expect to know everything upfront, but I make sure I leave every project knowing more than when I started.
I value clarity and teamwork. I try to communicate ideas simply, ask questions when needed, and contribute in a way that helps the whole team move forward.
At the end of the day, I like building things that actually work—and getting a little better every time I do.
Deep understanding over quick fixes. Every system deserves to be built right, from foundation to final implementation.
Growth through every mission. Each project is an opportunity to expand knowledge and refine skills.
Clear communication and shared progress. Individual wins mean nothing without collective success.
Professional Operations & Impact
Galore Networks
Innovative Solutions & System Development
Engineered real-time firmware in Embedded C++ for multi-axis motion control. Implemented structured BLE communication protocol (Nordic UART Service). Designed PWM-based motor control with safety constraints and actuation limits.
Analyzed ARINC 429 protocol, including word format and deterministic data transmission. Designed a conceptual framework to emulate ARINC 429 communication over Ethernet.
Developed PID-based closed-loop control for trajectory correction. Integrated multi-sensor inputs (IR array, ultrasonic) for real-time feedback and obstacle avoidance.
Developing magnetic hysteresis-based sensing system for structural fault detection. Evaluating sensing accuracy, repeatability, and reliability for predictive maintenance.
Developed multi-axis drone simulation with PID-based flight control. Modeled system dynamics including thrust, drag, and disturbances. Tuned control parameters to improve stability and response performance.
Core Competencies & Tools
Training & Qualifications
BMS Institute of Technology & Management, Bengaluru
Bengaluru, India
Bengaluru, India
Continuous Learning & Recognition
AI & Machine Learning
IIT Hyderabad
SystemVerilog Fundamentals
Udemy Verification Series
Ethical Hacking
IEEE ITS
E-Waste Prevention
UNITAR
RTL-to-GDSII Design Flow
Professional Course
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