Shivesh Ganju
Senior Software Engineer (Ai & Systems Infra) @Meta
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WORK HISTORY
Senior Software Engineer (Ai & Systems Infra) @Meta
New York, NY, US
Led the end-to-end development of multiple ranking algorithms for a new advertiser product, optimizing ad performance and increasing advertiser revenue across billions of ad requests.• Designed and built AI and systems infrastructure to support the advertiser product across all Meta platforms, including Instagram, Facebook, and WhatsApp.• Implemented deep learning models and recommendation systems to enhance ad ranking, personalization, and targeting.• Built and deployed scalable AI-driven solutions, integrating machine learning models to optimize advertiser conversion rates.• Developed and maintained high-performance infrastructure for real-time ad delivery, processing billions of requests daily with low-latency distributed systems.• Engineered full-stack, utilizing C++, Python, SQL, NoSQL, Deep Learning, Recommendation Systems, Distributed Systems, Meta’s internal orchestration systems.
EDUCATION
New York University
Masters, Computer Science
Birla Institute of Technology and Science, Pilani
Bachelor of Engineering (B.E.), Computer Science
SKILLS
ABOUT SHIVESH GANJU
I have 5+ years of experience in scalable backend infrastructure, AI-driven systems and distributed computing.Having worked at Meta, Google, Amazon, I bring expertise in building high-performance platforms, optimizing large-scale systems, and integrating AI into real-world applications.At Meta, I work on AI-driven ranking systems, optimizing personalized ad delivery across billions of requests daily. I’ve designed and built AI infrastructure for creative ranking, leveraging C++, Python, SQL, NoSQL, and machine learning techniques to enhance advertiser revenue and user experience.At Google, I was part of the Fuchsia OS team, working on graphics compositor development and test infrastructure. I improved test coverage by 30% and developed APIs enabling touch interactions on over a million Google Nest devices, collaborating with Flutter and Chrome teams.At Amazon, I built scalable platform solutions for the Fulfillment Technologies team, integrating third-party warehouses and vendors into Amazon’s ecosystem. I developed highly available microservices to streamline the customer order pipeline on Amazon.com, utilizing Java, Spring, AWS services (SNS, SQS, Elasticsearch), and PostgreSQL.At Flexport, I led end-to-end automation of customs filings, designing and deploying backend and frontend solutions using Ruby on Rails, gRPC, React, and AWS. I also implemented observability tools (Datadog, Sentry) to enhance system reliability.With experience building AI-driven systems, scalable infrastructure, and high-performance platforms at Meta, Google, Amazon, and Flexport, I’m driven by challenging problems, innovation, and creating real impact in AI and large-scale engineering.
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