Arunteja Reddy Gopireddy

Software Engineer

Hyderabad, Telangana, India3 yrs 11 mos experience

Highly Stable

Key Highlights

Expert in computer vision and embedded systems development.
Proven track record in optimizing performance for real-time systems.
Hands-on experience with kernel driver development and debugging.

Stackforce AI infers this person is a skilled Software Engineer specializing in embedded systems and computer vision technologies.

Contact

Skills

Core Skills

Computer Vision SystemsLinux Kernel & Userspace Development

Other Skills

C++CPythonLinux Kernel DevelopmentComputer Vision ProcessingPerformance OptimizationDebuggingKernel Driver DevelopmentComputer Vision APIsData ProcessingKernel DriversSystem on a Chip (SoC)Competitive ProgrammingKernel DebuggingSoftware Development

About

Software Engineer with ~4 years of experience in computer vision and system-level development at Qualcomm, working across userspace and Linux kernel layers to build and optimize high-performance vision pipelines on embedded SoC platforms. My work involves developing vision APIs, kernel driver development, and diagnosing performance and stability bottlenecks in real-time systems. I have hands-on experience in C++/C, Linux internals, and debugging complex system-level issues impacting production workloads, often involving cross-layer interactions between software, firmware, and hardware. I am particularly interested in roles at the intersection of embedded systems, computer vision, and AI/ML inference, focused on building scalable and efficient software systems for next-generation hardware. Key Skills: • C++, C, Python • Linux Kernel & Userspace Development • Computer Vision Systems • Embedded Systems & SoC Integration • Performance Optimization, Debugging & Profiling Currently exploring opportunities in system software, computer vision, and AI/ML-focused roles.

Experience

3 yrs 11 mos

Total Experience

3 yrs 11 mos

Average Tenure

3 yrs 11 mos

Current Experience

Qualcomm

3 roles

Engineer

Promoted

Dec 2023 – Present · 2 yrs 6 mos · Hyderabad, Telangana, India

Developed and optimized the Snapdragon Engine for Visual Analytics (EVA) kernel driver and user space code, enhancing efficiency in computer vision processing. Worked with various premium and value-tier mobile chipsets, including Snapdragon 8 Elite, 8s Gen 4, 8 Gen 3, 8 Gen 2, 7+ Gen 2, and several XR targets. Independently led the bring-up of two System-on-Chip (SoC) mobile chipset platforms, including FPGA emulation and hardware deployment, ensuring successful integration and functionality. Proactively addressed and resolved customer issues with timely fixes, maintaining a robust and reliable platform. Improved EVA stability and performance by implementing runtime debug enhancements, including kernel driver and userspace data collection, which enabled effective crash analysis and reduced troubleshooting times. Developed a custom memory profiler for EVA user space, which effectively identified and mitigated memory leaks and improved system stability. Designed a Python-based debugging tool for analyzing atrace logs, reducing debugging time by over 30 hours and accelerating root cause analysis.

C++CPythonLinux Kernel DevelopmentComputer Vision ProcessingPerformance Optimization+4

Associate Engineer

Jul 2022 – Dec 2023 · 1 yr 5 mos · Hyderabad, Telangana, India

Interim Engineering Intern

May 2021 – Jul 2021 · 2 mos · Hyderabad, Telangana, India

Designed and implemented a Python-based visualization tool for analyzing data from various computer vision APIs, including feature extraction, optical flow, and disparity maps. Developed data processing pipelines to ensure clean and consistent outputs, streamlining developer workflow and enhancing debugging and understanding.

PythonComputer Vision APIsData ProcessingComputer Vision Systems