Rameez Raza

Software Engineer

Bengaluru, Karnataka, India6 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced testing time by 80% through automation.
Developed AI tools for intelligent workload optimization.
Enhanced system security in open-source projects.

Stackforce AI infers this person is a Software Engineer specializing in AI-driven optimization and power management in the SaaS industry.

Contact

rameezrz25@gmail.com LinkedIn

Skills

Core Skills

Power ManagementAi-powered OptimizationLog ManagementSoftware Development

Other Skills

Device DriversProblem SolvingMachine LearningAIAutomationOptimizationPYTHONTestingSecurity ManagementGitC++AlgorithmsCDeep LearningData Structures

About

At Intel Corporation, I contributed to the development of innovative AI-driven tools that significantly optimize power management and overall system performance. My work helped reduce manual tuning efforts from weeks to days and automated benchmarking processes, resulting in an 80% reduction in testing time. I also enhanced system security by identifying and addressing critical vulnerabilities in open-source projects and developed an OS-agnostic thermal metrics application to enable seamless integration across platforms. Holding an MTech in Information Technology from NIT Karnataka, I specialize in AI-powered optimization, power management, and system performance metrics. I have played a key role in migrating legacy software to ChromiumOS, improving system performance, and designing robust tools that ensure consistent driver and application deployment. I am passionate about leveraging advanced software solutions and collaborative teamwork to drive impactful innovations that solve complex challenges.

Experience

6 yrs 1 mo

Total Experience

6 yrs 1 mo

Average Tenure

6 yrs 1 mo

Current Experience

Intel corporation

2 roles

Software Development Engineer

Apr 2020 – Present · 6 yrs 1 mo

Developed and optimized device drivers for Intel platforms, leading to significant improvements in power efficiency, thermal management, and system performance.
Enhanced Intel SoC performance on Google ChromeOS, which reduced power usage and improved benchmark scores.
Automated optimization workflows using Intel Dynamic Tuning Technology (DTT), cutting down manual effort by 80% and improving consistency.
Built an AI-powered tool that leveraged machine learning algorithms to predict system parameters with 75% accuracy, enabling intelligent workload optimization.
Contributed to open-source projects by resolving security vulnerabilities and improving system stability, demonstrating a commitment to the broader engineering community.

Device DriversProblem SolvingPower ManagementAI-powered Optimization

Software Development Engineer Intern

Aug 2019 – Jul 2020 · 11 mos

Installed and configured the ELK stack on Linux servers to enhance log management and analysis capabilities.
Built a log clustering framework using machine learning, which was integrated into the production codebase and used to monitor and analyze continuous data streams.
Created an automated unit testing service that reduced issue detection and resolution time by 90%.

Problem SolvingPYTHONLog Management