Rameez Raza profile photo 1 on Tal

Rameez Raza

System Software Engineer @ Intel | C/C++ | Platform & Device Drivers | Power & Thermal | RF/Wireless | AI-Assisted Automation | NITK ’20

Bengaluru

7+ years of work experience

Intel Corporation
Apr 20206 yrs 6 mosPresent

Bengaluru, Karnataka, India

• Developed C/C++ system software for Intel platforms, spanning power/thermal management, performance optimization, wireless reliability, hardware interfaces, validation, and AI-assisted engineering. • Developed Intel DTT system software and power/thermal strategies, delivering 10% performance improvement across multiple platforms. • Contributed to kernel driver interfaces and user-space APIs for CPU OC mailbox register read/write, reducing register access latency by 5% and enabling low-level hardware configuration. • Built RFIM technology that dynamically adjusts DDR clock frequency based on the active RF channel, mitigating memory-induced interference and preventing up to ~50% Wi-Fi throughput degradation. • Automated Cinebench, Geekbench, and gaming workloads with thermal policy tuning, improving performance while reducing manual effort by 90%. • Developed a Windows I3C communication PoC using the WinI3C driver stack and SuperMITT, implementing read/write and CCC transactions for end-to-end validation. • Designed an Agentic Automation Framework with reusable AI Agent Skills to orchestrate engineering workflows, reducing manual effort by 50% and domain dependency. • Engineered a GenAI-powered testing solution that analyzes source code and autonomously generates and executes tests, reducing manual testing effort by 60% and enabling early validation without physical hardware. • Developed an XGBoost predictive model achieving 77% accuracy for workload-aware system parameter prediction and performance/thermal optimization. • Built cross-platform system telemetry for Linux, Windows, and ChromeOS, improving telemetry reliability by 60% and enabling real-time power/performance monitoring. • Improved benchmark performance across platform SKUs by 7% through configuration tuning and optimization. • Developed WiX Toolset installers for platform software and drivers and contributed to open-source bug fixes and security improvements.
Intel Corporation
Aug 20191 yrJul 2020

Greater Bengaluru Area

• Installed and configured machine learning models on Linux servers to enhance log management and analysis. • Developed modules to track queue/build times and monitor Jenkins utilization through API integration, improving visibility into CI infrastructure. • Built a K-Means-based log clustering framework with a monitoring dashboard for production systems to analyze continuous data streams. • Created an automated unit testing service, reducing issue detection and resolution time by 90%. • Developed a machine learning model to evaluate security scan results, improving testing efficiency and process reliability.

Rameez’s AI Stack

antigravity
antigravity
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codex
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gemini
gemini

Education

National Institute of Technology Karnataka

Master of Technology - MTech, Information Technology

National Institute of Technology Karnataka

20182 yrs2020
University Institute of Technology, The University of Burdwan

Bachelor of Engineering - BE, Computer Science

University Institute of Technology, The University of Burdwan

20144 yrs2018

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Headline

System Software Engineer @ Intel | C/C++ | Platform & Device Drivers | Power & Thermal | RF/Wireless | AI-Assisted Automation | NITK ’20

About

I’m a System Software Engineer at Intel with 6+ years of experience building software at the intersection of hardware, operating systems, platform engineering, and automation. My core strength is C/C++ system software — turning low-level platform capabilities into reliable, testable, and production-ready software. My work spans: • System & Platform Software — hardware/software interfaces, platform controls, system telemetry, performance, and stability • Power & Thermal Management — workload optimization, thermal policy tuning, CPU/GPU power balancing, and platform performance • Wireless & RF — RF interference mitigation and channel optimization for improving Wi-Fi reliability • Drivers & Hardware Interfaces — kernel/user-space interfaces, low-level register access, I3C, and platform integration • Validation & Automation — platform validation, regression automation, benchmarking, and workload orchestration • AI-Assisted Engineering — agentic automation, GenAI-powered testing, simulation, and developer productivity At Intel, I have: → Developed system software for Intel DTT, delivering a 10% performance improvement across multiple platforms → Built RFIM technology to mitigate DDR-induced Wi-Fi interference and prevent up to ~50% throughput degradation → Contributed to kernel driver and user-space interfaces for CPU mailbox register access → Developed an I3C communication PoC on Windows for end-to-end protocol validation → Automated benchmark and gaming workloads, reducing manual effort by 90% → Designed an Agentic Automation Framework that reduced manual engineering effort by 50% → Developed a GenAI-powered testing solution reducing manual testing effort by 60% → Built an XGBoost-based predictive model achieving 77% accuracy for workload-aware optimization → Developed cross-platform telemetry solutions across Linux, Windows, and ChromeOS I enjoy solving problems where software meets hardware — particularly system performance, platform reliability, low-level interfaces, automation, and intelligent engineering workflows. Core areas: C/C++ • System Software • Platform Engineering • Device Drivers • Linux/Windows • Power & Thermal • RF/Wireless • I3C • Validation • Automation • AI/GenAI

Location

Bengaluru

AI stack

antigravity

claude code

claude

codex

cursor

gemini

Work experience

Software Development Engineer at Intel Corporation, Apr 2020 - Present · 6 yrs 6 mos, Bengaluru, Karnataka, India, • Developed C/C++ system software for Intel platforms, spanning power/thermal management, performance optimization, wireless reliability, hardware interfaces, validation, and AI-assisted engineering. • Developed Intel DTT system software and power/thermal strategies, delivering 10% performance improvement across multiple platforms. • Contributed to kernel driver interfaces and user-space APIs for CPU OC mailbox register read/write, reducing register access latency by 5% and enabling low-level hardware configuration. • Built RFIM technology that dynamically adjusts DDR clock frequency based on the active RF channel, mitigating memory-induced interference and preventing up to ~50% Wi-Fi throughput degradation. • Automated Cinebench, Geekbench, and gaming workloads with thermal policy tuning, improving performance while reducing manual effort by 90%. • Developed a Windows I3C communication PoC using the WinI3C driver stack and SuperMITT, implementing read/write and CCC transactions for end-to-end validation. • Designed an Agentic Automation Framework with reusable AI Agent Skills to orchestrate engineering workflows, reducing manual effort by 50% and domain dependency. • Engineered a GenAI-powered testing solution that analyzes source code and autonomously generates and executes tests, reducing manual testing effort by 60% and enabling early validation without physical hardware. • Developed an XGBoost predictive model achieving 77% accuracy for workload-aware system parameter prediction and performance/thermal optimization. • Built cross-platform system telemetry for Linux, Windows, and ChromeOS, improving telemetry reliability by 60% and enabling real-time power/performance monitoring. • Improved benchmark performance across platform SKUs by 7% through configuration tuning and optimization. • Developed WiX Toolset installers for platform software and drivers and contributed to open-source bug fixes and security improvements.

Software Development Engineer Intern at Intel Corporation, Aug 2019 - Jul 2020 · 1 yr, Greater Bengaluru Area, • Installed and configured machine learning models on Linux servers to enhance log management and analysis. • Developed modules to track queue/build times and monitor Jenkins utilization through API integration, improving visibility into CI infrastructure. • Built a K-Means-based log clustering framework with a monitoring dashboard for production systems to analyze continuous data streams. • Created an automated unit testing service, reducing issue detection and resolution time by 90%. • Developed a machine learning model to evaluate security scan results, improving testing efficiency and process reliability.

Education

Master of Technology - MTech, Information Technology, National Institute of Technology Karnataka

Bachelor of Engineering - BE, Computer Science, University Institute of Technology, The University of Burdwan

Public links

github: https://github.com/rameezrz25