Headline

Systems & Distributed Software Engineer @ Amazon | Linux Kernel, Memory & Performance | C/C++, Go, AWS | Samsung Inventor | 9+ Years

About

Engineering Leader with 8+ years of experience in low-level system architecture, on-device performance engineering, and large-scale distributed systems. Deep expertise in architecting CPU-aware memory frameworks at Samsung and optimizing cloud-connected SDK communication layers at Amazon. Proven track record of architecting and delivering products from scratch, including features that drove 50,000+ new user acquisitions and scaled to enterprise adoption. M.Tech in Data Science (IISc).

Location

Greater Chennai Area

AI stack

claude code

cursor

kiro

opencode

claudecode

Work experience

Sde 2 at Amazon, Feb 2025 - Present · 1 yr 7 mos, Chennai, Tamil Nadu, India

Chief Engineer at Samsung R&D Institute India, Mar 2024 - Feb 2025 · 1 yr, Hybrid, - Led the development and integration of advanced memory optimization techniques, improving system performance and resource utilization. - Enhanced system efficiency and responsiveness through the implementation of cutting-edge performance-enhancement solutions, resulting in significant improvements to application load times and overall system performance.

Lead Engineer at Samsung R&D Institute India, Mar 2022 - Mar 2024 · 2 yrs 1 mo, Bengaluru, Karnataka, India, - Designed and integrated solutions to improve system memory management, leading to significant enhancements in system operations and performance. - Collaborated with cross-functional teams to optimize memory usage across various high-performance devices, improving overall system adaptability.

Software Developer at Zoho Corporation, Jun 2017 - Mar 2022 · 4 yrs 10 mos, Chennai, Tamil Nadu, India, - Designed and led the development of unattended support for Linux OS (64/32-bit, ARMv7/ARMv8), increasing the Linux remote customer base by 30%. - Developed a Bulk Deployment tool for large-scale software deployment, reducing deployment time by 30%. -Enhanced remote support features for Linux, including Cloud compatibility, Clipboard, Chat, and File Transfer, improving the overall user experience. -Improved screen sharing performance from 25 FPS to 60 FPS, resulting in a 140% performance improvement. -Scaled the application from 30 to 3000 concurrent users by implementing inter-server communication, achieving a 9900% increase in scalability.

Education

Master of Technology (Online), Data Science and Business Analytics, Indian Institute of Science (IISc)

Bachelor of Technology (B.Tech.), Civil Engineering, National Institute of Technology, Tiruchirappalli