AI & Embedded Systems Engineer

Building AI Systems From the Cloud to the Chip

I'm Siddharth Bejadi, a final-year Computer Science student (predicted First Class Honours) at Anglia Ruskin University, Cambridge, building AI systems end-to-end — from model training and cloud pipelines to embedded deployment on constrained hardware. I've delivered software for an external client (Cambridge City Council), shipped a deployed multi-agent LLM application in a single day at a Clifford Chance hackathon, and I'm founding an early-stage computer-vision SaaS venture.

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2026-08-04

Completed Two Arm Certifications: Armv8-M Architecture Fundamentals & Cortex-M Processors Overview

Earned two Arm-authorized certifications through Coursera: Armv8-M Architecture Fundamentals (Aug 2026) and Arm Cortex-M Processors Overview (Jul 2026). Together these cover the Cortex-M processor family and the Armv8-M architecture that underpins it — the programmer's model, exception handling, memory protection, and TrustZone security extensions. This formalises the foundations behind my hands-on work in bare-metal Cortex-M firmware and edge AI deployment on the STM32N6 Neural-ART platform. Verification: coursera.org/verify/OTBH7HEL270B and coursera.org/verify/ECY0AM2SCFTD.

Building AI Systems From the Cloud to the Chip

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