From 2406681a77f038103198c6f5dd6c7a0abc60334c Mon Sep 17 00:00:00 2001 From: Aswin Zayasankaran <156493059+Aswinmcw@users.noreply.github.com> Date: Wed, 15 Jul 2026 10:53:00 +0530 Subject: [PATCH] =?UTF-8?q?design:=20Design=2010=20=E2=80=94=20Slate=20rig?= =?UTF-8?q?ht-sidebar?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- resume.html | 286 ++++++++++++++++++++++------------------------------ 1 file changed, 118 insertions(+), 168 deletions(-) diff --git a/resume.html b/resume.html index 212c075..986e1eb 100644 --- a/resume.html +++ b/resume.html @@ -4,191 +4,141 @@
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ASWIN
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Software Engineer
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Profile
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Software engineer working close to the metal on next-generation AI accelerator hardware. I build and optimize low-level compute kernels, profile and benchmark tensor operations, and hunt bottlenecks across the stack to drive device throughput — and own end-to-end model tracing and validation plus the tooling and infrastructure around it.

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Experience
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- Software Engineer - Jun 2023 – Present -
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MulticoreWare Pvt Ltd · Chennai, India
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  • Software engineering for a leading AI silicon company’s accelerator stack — developing and optimizing the software that runs on next-generation AI chips.
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  • Work as part of an element-wise operations team — contributing kernel development, code review, and CI health for unary/binary element-wise ops.
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  • 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.
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  • 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.
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  • Profile and benchmark kernels with the device profiler, tracking kernel execution time and diagnosing per-core load imbalance to guide optimization.
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  • Maintain performance-tracking automation and daily/weekly reporting pipelines that flag regressions against historical baselines and correlate them to commits.
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- Industrial Project Engineer - Jun 2022 – May 2023 -
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Lenovo Pvt Ltd · Pondicherry, India
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  • Developed and maintained a smart attendance system using face-recognition technology with database integration.
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  • Built an ESD tester with database-backed logging for real-time test workflows.
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  • Worked on computer-vision algorithms, biometric authentication, and real-time data processing.
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Projects
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ttperf — AI-Accelerator Performance Profiler
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CLI tool that profiles AI-accelerator compute tests and extracts device kernel performance metrics. Wraps the device profiler with pytest, parses result CSVs, and reports total kernel duration. Published on PyPI. Python · pytest · PyPI — ttperf.aswincloud.com
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Eltwise Performance Tracker
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Day-by-day performance monitoring for element-wise operations on AI-accelerator hardware — tracks kernel-timing trends across dates, correlates regressions to git commits, and sends automated alerts on >20% changes.
ttnn-eltwise-performance.aswincloud.com
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Academic Projects — B.Tech ECE
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Embedded & hardware builds: DDS-based portable function generator (up to 12 MHz), Arduino-based portable oscilloscope, 0–30 V / 0–2 A regulated power supply, and a non-contact AC/DC line tester.
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