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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.

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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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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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    Data EngineerOct 2024 – Present
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    Hexaware Technologies Ltd.
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    • Data Engineer working on data engineering solutions using Azure Synapse Analytics, Apache Spark, PySpark, SQL, and Databricks.
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    • Re-engineered SAS data steps and PROC transformations into PySpark and Spark SQL in Azure Synapse and Databricks, ensuring functional parity and schema consistency.
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    • Built parameterized, modular ETL pipelines in Azure Synapse (notebooks and pipelines) integrating Azure Storage, with robust error handling, auditing, and lineage tracking.
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    • Implemented rigorous data reconciliation — row counts, hash checks, variance thresholds, and business-rule validations — to guarantee zero data loss or mismatch.
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    • Optimized big-data workloads via partitioning, efficient file formats (Parquet and Delta), broadcast joins, and caching to meet SLA and cost objectives in the cloud.
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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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Real-Time Social Media Sentiment Analysis
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Processed social media data from streaming APIs and CSV files in real time for sentiment analysis and actionable insights — tracking sentiment trends, user engagement, and topic popularity. Built databases for posts and sentiment scores, cleaned data with PySpark, categorized posts as positive / negative / neutral, and built a pipeline with Delta Live Tables for real-time insights. Python · MSSQL · PySpark · Azure Databricks · Google Colab
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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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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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Skills
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Languages
PythonSQL
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Tools & Tech
PySparkAzure DatabricksAzure SynapseAzure Data FactoryAzure Data LakeAzure DevOpsMSSQLGoogle Colab
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Data Engineering
ETL pipelines, data warehousing, Delta Live Tables, workflow optimization, real-time processing
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Operating Systems
Windows
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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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Education
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B.Tech, Electronics & Communication Engineering
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Sri Manakula Vinayagar Engineering College, Puducherry  •  2024
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Higher Secondary (12th)
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Amalorpavam Hr. Sec. School, Puducherry  •  2020
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SSLC (10th)
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Immaculate Heart of Mary Girls Hr. Sec. School, Puducherry  •  2018
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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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Certifications
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PCEP — Certified Entry-Level Python Programmer
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AZ-900 — Microsoft Azure Fundamentals