Profile
Experience
+- Software engineering for a leading AI silicon company's accelerator stack — developing and optimizing the software that runs on next-generation AI chips.
- Work as part of an element-wise operations team — contributing kernel development, code review, and CI health for unary/binary element-wise ops.
- Author and optimize low-level compute kernels with broad data-type coverage (fp32, bf16, int32, uint8/16/32) and hardware-specific instruction-level work verified against ISA documentation.
- Own end-to-end model tracing and validation with sweeps — reconstructing real model operation traces from a database and validating them against generated sweep tests for exact-match coverage.
- Profile and benchmark kernels with the device profiler, tracking kernel execution time and diagnosing per-core load imbalance to guide optimization.
- Maintain performance-tracking automation and daily/weekly reporting pipelines that flag regressions against historical baselines and correlate them to commits.
- Developed and maintained a smart attendance system using face-recognition technology with database integration.
- Built an ESD tester with database-backed logging for real-time test workflows.
- Worked on computer-vision algorithms, biometric authentication, and real-time data processing.
Projects
Skills
Profiling, benchmarking, kernel optimization, bottleneck analysis, low-level compute kernels
Python, C++, C, Java, SQL
AI-accelerator software stacks, compute-kernel development
Git & GitHub, CI/CD (GitHub Actions), pytest, PyPI, device/kernel profilers
Cloudflare — site hosting, Tunnels, Zero Trust / Access auth; self-hosted services
PCB design, Linux & shell scripting
Education
Sri Manakula Vinayagar Engineering College, Puducherry
2019 – 2023 • CGPA 8.5 / 10
Certifications
- SkillRack — 300+ problem-solving medals in C & Java
- Python for Data Science — NPTEL
- Great Learning — C, Java, OS & Memory Management
- TCS iON — Career Edge