Embedded Systems/IoT/Edge AI/PCB Design
Electronics and Communication Engineering graduate building at the intersection of hardware and intelligence. I design circuits, write firmware, and deploy ML models on the edge — turning constrained silicon into smart, connected systems.
// 01 — SKILLS
// 02 — PROJECTS
ESP32-based gesture recognition system using Edge Impulse for on-device ML deployment. Added voice-to-text module for accessibility, helping hearing-impaired users communicate naturally.
95% Accuracy ESP32 Edge Impulse TinyMLSmart battery monitoring concept for electric vehicles. Built predictive models using Reinforcement Learning and Deep Learning to estimate State of Charge and State of Health with industry-grade precision.
99.98% RL Acc. 99.95% DL Acc. Python EV SystemsAutomated water pump control system with intelligent switching logic for both automatic and manual modes. Reduced wastage through efficient sensor-driven automation with measurable real-world impact.
−25% Wastage −15% Energy IoT Embedded C// 03 — EXPERIENCE
// 04 — TOOLS & PLATFORMS
// 05 — CONTACT
Open to embedded systems roles, firmware projects, PCB design work, and anything that lives close to the metal. Based in Thrissur, Kerala.
albinshajan378@gmail.com