V

Vannur Swamy Gudisi

Senior Software Engineer

Bellevue, Washington, United States13 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led optimization initiatives for Microsoft Knowledge Graph and Bing.
  • Designed scalable image-processing pipelines reducing processing time significantly.
  • Engineered advanced graph algorithms enhancing data processing efficiency.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in SaaS and Telecommunications.

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Skills

Core Skills

Distributed SystemsAi-powered TechnologiesPerformance OptimizationGraph AlgorithmsMobile ConnectivityNetwork OptimizationTest Automation

Other Skills

AI-powered pipelinesApache SparkApache KafkaMicrosoft AzureColumn store DBQuery optimizationImage processingPipeline designTraversal optimizationSparkKafkaAzureData optimizationCost reductionURL processing

About

Microsoft delivers cutting-edge solutions in distributed systems, AI-powered pipelines, and performance optimization, supported by over nine years of contributions to large-scale initiatives like Knowledge Graph, Bing, and Graph Search. Expertise includes re-architecting search infrastructure, optimizing graph algorithms, and building scalable image-processing pipelines to enhance efficiency and reduce costs. With a mission to enable high-performing internet-scale systems, the team leverages advanced graph algorithms, database optimization, and AI-driven technologies to drive impact in search and data processing. Motivated by collaboration and innovation, our work empowers seamless user experiences and operational excellence.

Experience

13 yrs 11 mos
Total Experience
6 yrs 11 mos
Average Tenure
10 yrs 8 mos
Current Experience

Microsoft

Senior Software Development Engineer

Oct 2015Present · 10 yrs 8 mos · Redmond, Washington · On-site

  • Driving innovation and performance at internet-scale systems, I led mission-critical initiatives across Microsoft Knowledge Graph, Bing, and Graph Search. My contributions span large-scale distributed systems, AI-powered pipelines, and system optimizations that cut latency, boosted throughput, and reduced infrastructure cost.
  • Graph Search Optimization: Re-architected search infrastructure using column store DB, improving query throughput by 20x and reducing latency from 200ms to 25ms.
  • Image Processing at Bing Scale: Designed a scalable pipeline that processes over 1B images, reducing E2E processing from 2 weeks to 24 hours, and storage by 5x.
  • Graph Algorithms & Publishing: Engineered a faster Graph Walk algorithm, enabling 7x faster graph publishing by optimizing traversal and compute strategies.
  • Real-time Streaming Platform: Developed Spark-based microservices for processing over 5M entities daily, integrating Kafka and Azure to ensure reliability and data integrity.
  • Storage & Compute Efficiency: Led Content Data Builder enhancements, achieving 3x speed-up and cutting data volume to 30–40% for significant cost savings.
  • URL Submission Platform: Scaled Bing's submission pipeline to process over 40M URLs/day, improving indexing latency and freshness of search results.
Distributed SystemsAI-powered pipelinesGraph AlgorithmsPerformance OptimizationApache SparkApache Kafka+2

Qualcomm

Software Engineer

Jul 2012Oct 2015 · 3 yrs 3 mos · Hyderabad Area, India

  • Contributed to the development of next-generation mobile connectivity solutions, including early VoLTE rollouts for top-tier networks like Verizon. Specialized in modem data services, network optimization, and protocol-level enhancements that improved reliability and efficiency across 4G/3G/2G networks.
  • VoLTE Feature Development: Engineered modem-side logic to manage Quality of Service (QoS) parameters for Voice over LTE, addressing hundreds of edge cases to ensure call stability and seamless data flow.
  • Network Request Throttling: Designed state machines and protocols for service request throttling across LTE, WDMA, and GSM networks, optimizing user experience during network congestion.
  • Test Automation: Built a robust test framework enabling automated validation of modem behaviors across diverse network generations and use cases.
VoLTENetwork OptimizationTest AutomationMobile Connectivity

National small scale industries corporation limited

industrial

May 2011Jul 2011 · 2 mos · Hyderabad Area, India

  • Microsoft IT, Hyderabad
  • Intern SDE
  • BIEI Automated Test Scorecard (Business intelligence) project in Microsoft IT Hyderabad as an
  • Intern using SQL Server 2008 R2 and Reporting Services 2008 and deployed the reports into
  • Microsoft SharePoint.; ROUTING
  • SIMULATOR, Hyderabad for 2 months during May, 2010.
  • 2011
  • DECAF Designed DECAF LANGUAGE using LEX and YACC.
  • February, 2011 to April, 2011

Microsoft india (bmsi)

Intern

Jan 2011Jan 2011 · 0 mo · Hyderabad Area, India

  • Microsoft IT, Hyderabad, India May – July 2011
  • BIEI Automated Test Scorecard (a Business Intelligence Project)
  • Created different types of reports from the analytical data and delivered to stockholders.
  • Reported bugs variation over period time and test case efficiency
  • Automated for all projects in Microsoft
  • Deployed Reports in Microsoft SharePoint

Education

National Institute of Technology Warangal

B Tech — Computer Science and Engineering

Jan 2008Jan 2012

University of Washington

Master of Science - MS — Computer Science and Engineering

Jan 2024Present

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