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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Certifications
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- Industrial Project Engineer
- Jun 2022 – May 2023
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Industrial Project EngineerJun 2022 – May 2023
Lenovo Pvt Ltd · Pondicherry, India
Developed and maintained a smart attendance system using face-recognition technology with database integration.
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Certifications
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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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
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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A skilled Data Engineer trained in Python, PySpark, SQL, and Azure Databricks with hands-on experience in building data pipelines and optimizing data workflows. Passionate about leveraging data engineering techniques to deliver actionable insights and support business decision-making, while continuously advancing my technical expertise and career.
Experience
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Software EngineerJun 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 EngineerJun 2022 – May 2023
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Lenovo Pvt Ltd · Pondicherry, India
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Data EngineerOct 2024 – Present
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Hexaware Technologies Ltd.
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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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Completed Mavericks Data Engineering training at Hexavarsity, specializing in Python, PySpark, SQL, and Azure Databricks.
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Developed 2 projects utilizing PySpark and Azure Databricks, focusing on data pipelines and ETL processes.
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Proficient in building cloud-based data solutions and optimizing workflows with Azure DevOps.
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Applied strong problem-solving abilities and technical expertise to real-world data challenges.
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Certifications
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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Real-Time Social Media Sentiment Analysis
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Processed social media data from streaming APIs and CSV files in real time to perform sentiment analysis and generate actionable insights — tracking sentiment trends, user engagement, and topic popularity. Developed databases for posts and sentiment scores, cleaned and processed data with PySpark, categorized posts as positive / negative / neutral, and built a data pipeline with Delta Live Tables for real-time insights. Python · MSSQL · PySpark · Azure Databricks · Google Colab
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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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Stock Market Data Analysis
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Built a data warehouse to store and analyze stock market data — prices, trading volumes, and indicators. Designed the schema, collected and cleaned data from APIs and CSV files with Python, wrote SQL queries to detect price anomalies, and built real-time PySpark pipelines to analyze market trends and indicators such as moving averages and RSI, helping detect sudden market shifts. Python · MSSQL · PySpark · Azure Databricks · Google Colab
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Details
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Date of Birth: 23 May 2003 • Nationality: Indian • Languages: English, Tamil
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From aeb85d473b4a712600a4c86d80ec85026481dd6b Mon Sep 17 00:00:00 2001
From: Aswin Zayasankaran <156493059+Aswinmcw@users.noreply.github.com>
Date: Thu, 20 Aug 2026 16:31:36 +0530
Subject: [PATCH 5/8] Switch Swetha R resume to Design 8
(Gradient/Glassmorphism)
Co-Authored-By: Claude Opus 4.8
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resume.html | 210 ++++++++++++++++++++++++++--------------------------
1 file changed, 105 insertions(+), 105 deletions(-)
diff --git a/resume.html b/resume.html
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