Kapil Kumar Shishodia

Senior Software Engineer

Seattle, Washington, United States12 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led architecture for Amazon's CTV initiative.
  • Generated multi-million-dollar revenue through Curie Ads.
  • Increased ad reach by 70% with behavioral targeting.
Stackforce AI infers this person is a Backend-heavy Fullstack engineer in AdTech with a focus on high-scale systems.

Contact

Skills

Core Skills

Distributed SystemsScalability

Other Skills

Advanced JavaAlgorithmsCC++Core JavaData StructuresDatabasesDeep Packet InspectionDevice DriversHigh Availability (HA)Internet ProductsLarge Scale SystemsLinuxLinux Kernel ProgrammingNetworking

About

Senior Software Development Engineer at Amazon leading end-to-end CTV for Amazon DSP, driving architecture, bidding, fee systems, international expansion, and the upcoming Phase 2 roadmap. Previously architected and launched Curie (Local) Ads across APS, 3PX, IMDb, and Twitch, delivering multi-million-dollar revenue impact and expanding advertiser reach globally. Specialized in high-scale ad systems, including behavioral targeting that increased reach by 70% and reduced CPA by 20%, and Herotator H1 premium placement integrations that met sub-50ms latency while unlocking major revenue streams. Built geo-targeting services used by 10K+ advertisers, optimized homepage ad density by 25%, and developed frameworks boosting revenue and debugging efficiency across the org. Passionate about building high-throughput, reliable, customer-focused ad solutions that shape Amazon’s next generation of advertising products.

Experience

Amazon

4 roles

Senior Software Development Engineer

Promoted

Dec 2022Present · 3 yrs 3 mos

  • Leading the end-to-end CTV initiative in Amazon DSP, including end-to-end architecture, development, bidding, fee calculation, international expansion, and next-year Phase 2 roadmap.
  • Architected and launched Curie (Local) Ads across offsite (APS, 3PX) and O&O platforms (IMDb, Twitch), generating multi-million-dollar revenue
  • streams.
  • Scaled ad supply systems to Amazon onsite platforms, increasing advertiser reach and engagement.
  • Designed behavioral targeting system for Curie (Local) Ads, boosting reach by 70% and reducing CPA by 20%.
  • Built geo-targeting service (Zip Code, State, Country) used by 10K+ advertisers globally.
  • Integrated high-revenue placements (Herotator H1) while meeting under 50ms latency SLAs.
  • Optimized homepage ad density by 25% using asynchronous bid requests, preserving customer experience.
  • Developed anti-adblocker detection framework, driving 15% YoY revenue growth via allow-listed ads.
  • Managed big data pipelines processing 20TB/day leveraging Spark, EMR, Elasticsearch, Kibana for real-time insights.
  • Improved ad rendering debugging efficiency, cutting developer time by 20% and debugging time by 30%.
  • Instituted automated code review system adopted org-wide, improving throughput and ensuring code quality.
  • Drove reliability and monitoring strategy, enabling continuous deployment across ad services.
  • Authored technical strategy and design documents simplifying ILM Ad Placement, enabling faster onboarding across teams.
Distributed SystemsScalabilityDatabasesHigh Availability (HA)C++C+16

Software Development Engineer II

Jul 2019Nov 2022 · 3 yrs 4 mos

  • Designed and implemented the solution to integrate Herotator H1, the highest revenue placement on Amazon, into the Ad Stack and optimized Ad Stack performance by implementing multiple improvements, resulting in meeting the Homepage latency bar.
  • Designed and implemented the solution to make multiple asynchronous bid requests on the Amazon homepage, resulting in a 25% increase in ad density without negatively impacting latency.
  • Designed the solution to detect and handle non-AdBlockPlus/AdBlock ad blockers on Amazon webpages to preserve good customer experience by serving alternative content or punting ads.
  • Improved pipelines’ health and reliability by introducing new monitoring, improvement processes, clear ownership, and tracking towards full 'Continuous Deployment' for faster deployment of changes.

Software Development Engineer

Oct 2017Jun 2019 · 1 yr 8 mos

  • Designed and developed the solution to allow-list ads for AdBlockPlus enabled sessions on Amazon.* which increased the YoY ads revenue by 15%.
  • Designed and developed big data solutions for surfacing Business Insights via data pipelines processing over 20TBs of data per day, using ElasticSearch and Kibana.
  • Implemented a solution in ads rendering widget on Amazon to improve and simplify debugging and development. This solution reduced development time by ~20% and improved debugging efficiency by ~30%.
  • Implemented a solution to detect and mitigate (within 5 minutes) legal violations related to customer opt-out preferences for behaviorally targeted ads.
  • Implemented a solution to fix the issue of not propagating important cookies to the ads rendering widget on Amazon pages, resulting in the successful launch of allow-listing ads for AdBlockPlus enabled sessions, and avoiding legal violations.

Software Development Engineer

Feb 2016Oct 2017 · 1 yr 8 mos

  • Designed and developed PA-API framework for Service Metrics, Logging, Authorization and Authorization.
  • Integrated multiple large-scale systems to complete distributed tasks and to improve PA-API performance.
  • Optimized service operations performance by improving the algorithms or by migrating the backend service to more optimized backend service.

Samsung r&d institute india

2 roles

Software Engineer

Jul 2014Feb 2016 · 1 yr 7 mos · Bengaluru, Karnataka, India

  • Optimized Deep Packet Inspection (DPI) system by using Bitwise operators to filter out useless packets and improved the DPI performance by 30%.
  • Developed and optimized engines for all networking protocols to detect the traffic of apps and websites.
  • Added signatures to detect the traffic from 100+ apps and websites.
  • Developed scripts to autogenerate signatures and test apps on Android devices.

Student Trainee (Intern)

Dec 2013Jun 2014 · 6 mos · Bengaluru, Karnataka, India

  • Developed a new file system for network devices.
  • Developed software to recover accidentally deleted files on the above file system.
  • Worked on Linux ALSA sound driver.

Education

National Institute of Technology Karnataka

Master of Computer Applications (M.C.A.) — Computer Science

Jan 2011Jan 2014

Chaudhary Charan Singh University

Bachelor of Computer Applications (B.C.A.) — Computer Science

Jan 2008Jan 2011

Board of High School and Intermediate Education U.P.

Intermediate (12th) — P.C.M.

Jul 2006Jun 2008

Board of High School and Intermediate Education U.P.

High School — Science

Jul 2004Jun 2006

Stackforce found 100+ more professionals with Distributed Systems & Scalability

Explore similar profiles based on matching skills and experience