Anirudh V S profile photo 1 on Tal

Anirudh V S

SDE 2 at Microsoft | NIT Trichy CSE’23

India

5+ years of work experience

Microsoft
Sep 20251 yrPresent

Bengaluru

> Enabled teams to onboard custom privacy workloads by transforming a monolithic Spark pipeline into a reusable, configuration-driven data platform. > Built a reusable React DAG canvas supporting graphs with 100K nodes through viewport-based rendering.
Microsoft
Jun 20232 yrs 4 mosSep 2025

Hybrid

> Enabled 8,000+ teams to discover and manage GDPR compliance across 200M+ data assets by building an Elasticsearch-backed search platform. > Reduced document ingestion volume by 90% and processing time from three days to under six hours through hash-based delta detection. > Reduced AKS disk usage by approximately 12x by redesigning Elasticsearch index mappings while preserving search performance. > Maintained 99.9% availability for production Elasticsearch deployments on Kubernetes, supporting 20 TB of storage with backup and BCDR readiness. > Supported large-scale exports by building a schema-driven Elasticsearch exporter capable of processing 50M records in under 45 minutes.
Microsoft
Jun 20222 mosJul 2022

Hyderabad

> Automated the detection of data inconsistencies in invoices and reports, improving reliability and reducing manual verification. > Built end-to-end reconciliation pipelines using Azure Databricks (PySpark) and Azure Data Factory to validate data flowing from ADLS Gen2 to Azure Cosmos DB. > Worked across data processing, validation, and reporting to improve overall data quality.
Samsung India
Aug 20217 mosFeb 2022

India

> Developed an NLP-based mobile search recommendation system that matched user queries with relevant installed applications. > Built and evaluated semantic matching approaches to improve app discovery beyond traditional keyword-based search. > Indexed data from more than 121,000 Play Store applications and exposed the search model through a FastAPI service. > Worked on the end-to-end solution, including data preparation, model development, search indexing, and API deployment.
Delta Force
Sep 20201 yr 8 mosApr 2022

Anirudh’s AI Stack

claude
claude
gemini
gemini
github copilot
github copilot
openai
openai

Education

National Institute of Technology, Tiruchirappalli

Bachelor of Technology - BTech, Computer Science

National Institute of Technology, Tiruchirappalli

20194 yrs2023
Maharishi Vidya Mandir Senior Secondary School

Maharishi Vidya Mandir Senior Secondary School

20172 yrs2019

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Headline

SDE 2 at Microsoft | NIT Trichy CSE’23

About

I’m a Software Engineer at Microsoft, working on large-scale search platforms, distributed data systems, and AI-powered retrieval. I enjoy taking complex engineering problems and turning them into systems that are reliable, scalable, and easier to operate. My experience spans search infrastructure, data processing, cloud platforms, and technologies such as Elasticsearch, Spark, Kubernetes, Azure, and RAG. I’m naturally curious and enjoy understanding how systems behave at scale, improving existing architectures, and taking ownership of problems from design through production. I’m particularly interested in distributed systems, search and information retrieval, data platforms, and applied AI. I’m always happy to connect with people building in these areas and exchange ideas.

Location

India

AI stack

claude

gemini

github copilot

openai

Work experience

Software Engineer 2 at Microsoft, Sep 2025 - Present · 1 yr, Bengaluru, > Enabled teams to onboard custom privacy workloads by transforming a monolithic Spark pipeline into a reusable, configuration-driven data platform. > Built a reusable React DAG canvas supporting graphs with 100K nodes through viewport-based rendering.

Software Development Engineer at Microsoft, Jun 2023 - Sep 2025 · 2 yrs 4 mos, Hybrid, > Enabled 8,000+ teams to discover and manage GDPR compliance across 200M+ data assets by building an Elasticsearch-backed search platform. > Reduced document ingestion volume by 90% and processing time from three days to under six hours through hash-based delta detection. > Reduced AKS disk usage by approximately 12x by redesigning Elasticsearch index mappings while preserving search performance. > Maintained 99.9% availability for production Elasticsearch deployments on Kubernetes, supporting 20 TB of storage with backup and BCDR readiness. > Supported large-scale exports by building a schema-driven Elasticsearch exporter capable of processing 50M records in under 45 minutes.

Software Engineer Intern at Microsoft, Jun 2022 - Jul 2022 · 2 mos, Hyderabad, > Automated the detection of data inconsistencies in invoices and reports, improving reliability and reducing manual verification. > Built end-to-end reconciliation pipelines using Azure Databricks (PySpark) and Azure Data Factory to validate data flowing from ADLS Gen2 to Azure Cosmos DB. > Worked across data processing, validation, and reporting to improve overall data quality.

Research And Development Intern at Samsung India, Aug 2021 - Feb 2022 · 7 mos, India, > Developed an NLP-based mobile search recommendation system that matched user queries with relevant installed applications. > Built and evaluated semantic matching approaches to improve app discovery beyond traditional keyword-based search. > Indexed data from more than 121,000 Play Store applications and exposed the search model through a FastAPI service. > Worked on the end-to-end solution, including data preparation, model development, search indexing, and API deployment.

Software Developer at Delta Force, Sep 2020 - Apr 2022 · 1 yr 8 mos

Education

Bachelor of Technology - BTech, Computer Science, National Institute of Technology, Tiruchirappalli

Maharishi Vidya Mandir Senior Secondary School