FIRMWARE
ENGINEER
Architecting Intelligent Embedded Systems For Real-World IoT Deployments.
C/C++ · FIRMWARE ARCHITECTURE · HARDWARE INTEGRATION · RTOS OPTIMIZATION
PROJECT ARCHITECTURE
Core Capabilities
- C/C++ & Python
- Raspberry Pi (4 / Zero 2 W / Zero)
- ESP32, Arduino (Uno / Mega / Nano)
- BLE, MQTT, GSM
- LiDAR, Sensor Fusion
- Firebase, GPS Tracking
- Git/GitHub, Node-RED, Docker
ENGINEERING THE
neural network OF
HARDWARE
THROUGH precise
FIRMWARE
ARCHITECTURE.
EXPERIENCE
ROLES & TIMELINE
Firmware Engineer
@ I-Fi Healthcare Tech Startup
April 2025 – Present
Spearheading the transition of early-stage assistive healthcare prototypes into production-ready wearables for the visually impaired
Edge-AI & LiDAR: Engineered a high-fidelity obstacle detection system using LiDAR and Edge-AI on Raspberry Pi 4, utilizing custom distance-mapping to achieve sub-500ms response time
Mission-Critical Telemetry: Reduced emergency response latency by integrating Firebase with GPS/GSM modules for real-time location tracking and automated SOS alerts
Leadership & SDLC: Leading a cross-functional team of 4 through rapid prototyping and the full firmware development lifecycle (SDLC).
AUTOMOTIVE IOT DEVELOPER
@ Lairak Ai (Contract)
December 2024 – March 2025
Designed high-reliability vehicle telemetry and intelligent dashcam systems for an AI-driven automotive safety startup.
Video Pipelines: Architected a Raspberry Pi-based telemetry system with H.264 hardware-accelerated encoding, ensuring sub-200ms latency.
Data Integrity: Implemented a multiprocessing Python architecture to ensure 99% data integrity and prevent video corruption during sudden vehicle power failure
Field Trials: Validated system logic through 2,000+ km of real-world road tests, maintaining 99% uptime for sensor-triggered emergency alerts.
IOT AND INNOVATION HEAD
@ Vikrant E-Bike (National Challenge)
October 2023 – March 2024
Led a 6-member team to architect the end-to-end IoT infrastructure for a high-performance smart e-bike.
Vehicle Gateway: Designed a centralized Linux-based vehicle gateway using Raspberry Pi 4 to integrate biometric access layers and real-time GNSS mapping.
Smart Ecosystem: Developed a custom IoT suite providing geo-fencing, anti-theft immobilizers, and live HMI dashboard telemetry.
Reliability Testing: Ensured 99%+ sensor data reliability through 50+ km of live field trials under diverse driving conditions.