Rahulkumar Gandhi

Software Engineer

Bengaluru, Karnataka, India3 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Improved device responsiveness by 20% through kernel optimizations.
Reduced manual effort by 50% with AI-powered frameworks.
Core developer for Intel Graphics Control Library adopted by major OEMs.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in Performance Optimization and Driver Development.

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Skills

Core Skills

Windows Driver DevelopmentPerformance Optimization

Other Skills

C++PythonWindows KernelETWWinDbgAI/ML frameworksTelemetry & AnalyticsGitADOWindows Display DriversDirectXKernel DevelopmentPerformance ProfilingData structures and AlgorithmObject-Oriented Programming (OOP)

About

Software Engineer at Microsoft with 4+ years building high-performance system software for millions of devices. I specialize in solving complex problems where hardware meets software—optimizing for performance, reliability, and scale. At Microsoft: I work on the Surface display driver stack, improving device responsiveness and stability by 20% through kernel-level optimization. I resolved critical display issues that previously required device replacements and built AI-powered validation frameworks that reduced manual effort by 50% and accelerated debugging by 30%. At Intel: Core developer of the Intel Graphics Control Library—shipping gaming, color, and multi-GPU APIs adopted by HP, Dell, Microsoft, and Lenovo (15+ SKUs). I reduced latency by 30%, improved VRR stability, and cut GPU overhead by 10% through low-level profiling. Why this experience translates: Display driver development is distributed systems engineering at the hardware level, requiring low-latency design, concurrency mastery, API architecture, and performance optimization. The skills I've built (C/C++, OS internals, system design, algorithmic optimization) apply directly to backend, platform, infrastructure, and performance-critical systems. Technical Foundation: C/C++, Python | Data Structures & Algorithms | OS Internals | System Design | Performance Optimization | Windows Kernel, ETW, WinDbg Open to: Backend Engineering, Platform/Infrastructure, Performance Engineering, Systems Software, and Driver Development roles where I can solve hard technical problems at scale.

Experience

3 yrs 9 mos

Total Experience

2 yrs 5 mos

Average Tenure

1 yr 4 mos

Current Experience

Microsoft

2 roles

Software Engineer 2

Mar 2026 – Present · 2 mos

C++PythonWindows KernelETWWinDbgAI/ML frameworks+5

Software Engineer

Dec 2024 – Feb 2026 · 1 yr 2 mos

Working on the Surface driver stack, delivering kernel-level optimizations and AI-powered tooling that improve performance and reliability for millions of users.
Impact & Achievements:
Improved Surface device responsiveness, stability, and telemetry-driven reliability by 20% across multiple generations through kernel-level tuning, performance profiling, and systematic optimization
Resolved critical kernel and firmware-level display corruption issues that previously resulted in costly device replacements, delivered software-based fixes that significantly improved user experience and reduced operational costs
Designed and implemented AI-powered automation frameworks for debugging, validation, and release workflows, reducing manual engineering effort by 50% and accelerating issue resolution by 30%.
Built real-time telemetry dashboards to track driver health, crash rates, and performance metrics across all Surface SKUs, enabling data-driven decision-making
Drove cross-functional collaboration with Intel, Qualcomm, and global OEM partners to develop scalable diagnostics tooling and validation methodologies that elevated ecosystem-wide driver quality
Technical Execution:
Deep kernel-mode debugging using ETW, WinDbg, crash dump analysis, and system tracing to diagnose complex race conditions, deadlocks, and synchronization issues
Performance optimization through CPU/GPU profiling, hot path identification, and algorithmic improvements to reduce latency and improve frame pacing
Designed backward-compatible driver APIs ensuring consistent behavior across diverse hardware configurations and Windows versions
Technologies: C/C++, Python, Windows Kernel (WDDM), ETW, WinDbg, AI/ML frameworks, Telemetry & Analytics, Git, ADO

C++Windows Display DriversDirectXKernel DevelopmentETWWinDbg+4

Intel corporation

2 roles

GPU Software Development Engineer

Promoted

Jul 2022 – Dec 2024 · 2 yrs 5 mos

Core developer on Intel's display driver team, building the Graphics Control Library and kernel-mode driver components powering display experiences across millions of devices from HP, Dell, Microsoft, and Lenovo.
Key Achievements:
Led development of Intel Graphics Control Library, shipping gaming, color management, scaling, and multi-GPU/multi-monitor APIs adopted across 15+ OEM SKUs with full WDDM compliance
Engineered kernel-mode driver components for VRR stability and frame pacing—improving system responsiveness by 20%, reducing input latency by 30%, and cutting GPU overhead by 10%
Led debugging of critical display driver issues (synchronization bugs, race conditions, pipeline corruption) using ETW, WinDbg, and GPU tracing—improving validation efficiency by 40%
Built display control APIs for OEM partners, enabling gaming overlays, color calibration, and advanced configurations while maintaining driver stability
Technical Execution:
Developed kernel-mode display drivers ensuring backward compatibility across Intel GPU generations. Optimized display pipeline by profiling user-mode/kernel-mode paths, identifying frame scheduling bottlenecks, and reducing context switch overhead
Partnered with hardware teams on display engine optimization and with OEMs on integration troubleshooting
Mentored engineers on kernel debugging and display driver architecture
Technologies: C/C++, Windows Display Drivers (WDDM/KMD), DirectX, Kernel Development, Multi-threading, ETW, WinDbg, Performance Profiling, Git