Projects
Latency-Aware Predictive Optimisation for Real-Time Edge Based Behaviour
Poster made to fit the padding
Latency-Aware Predictive Optimisation for Real-Time Edge Based Behaviour - by Mihran Ali
Workflow Grapgh
Latency-Aware Predictive Optimisation for Real-Time Edge Based Behaviour - by Mihran Ali
Framework
Latency-Aware Predictive Optimisation for Real-Time Edge Based Behaviour - by Mihran Ali
CDF
Latency-Aware Predictive Optimisation for Real-Time Edge Based Behaviour - by Mihran Ali
Workload Tradeoff
B.Sc. Computer-Science student specialising in software engineering, distributed systems, DevOps, cybersecurity, and intelligent application development. My Final-Year-Project, LAPSE-B (Latency-Aware Predictive Optimisation for Real-Time Edge-Based Behaviour Analysis), introduces a novel adaptive inference scheduling framework for real-time edge AI systems operating under strict latency and computational constraints. Independently designed and implemented from the ground up in Python, the system dynamically predicts workload pressure and switches inference strategies in real time to balance latency, throughput, and accuracy. Evaluated using the WISDM human activity recognition dataset, LAPSE-B demonstrates significantly fewer deadline violations than traditional static inference approaches while providing live analytics and monitoring capabilities.
https://www.linkedin.com/in/mihran-ali-7b4300405/
https://potfolio-ma-v4.vercel.app/
https://github.com/MA-V4
Type of employment sought
Software Engineer
Full Stack Engineer
DevOps Engineer
Backend Engineer
Platform Engineer
Cloud Engineer
Systems Engineer
AI/ML Engineer
AWS CLOUD
Areas available to work
London
Manchester
Bristol
Contact Mihran