Anshul Malhotra

About Anshul Malhotra

Engineering Leader with 9 years of experience building and scaling AI-enabled systems across telecom and travel industries. I focus on designing low-cost, low-latency architectures and high-throughput operating models that deliver measurable business impact.I specialise in distributed data processing and storage, Gen-AI, Agentic AI/ML, microservices and cloud-native solutions. My approach combines strong technical depth with business alignment — ensuring technology strategy directly supports growth, efficiency, and innovation.I have led high-performing engineering teams, driven cross-functional programs, and built collaborative cultures that deliver at scale. Passionate about mentoring talent and shaping future-ready architectures that are resilient, scalable, and outcome-driven.

Experience

1. Engineering Manager, Data & Ai

   Expedia Group

   Dec 2023 — Present · Gurugram, IN

   Actively participate in organizational people processes including hiring, performancereviews, compensation planning, calibration sessions, and promotion nominations.• Collaborate with product and program teams on quarterly planning, and resourceallocation to ensure aligned delivery against business objectives.• Built and managing a high-performing team by fostering a strong culture, providingregular one-on-one mentorship, and guiding members on best practices, reliability,and operational efficiency to drive overall performance.• Optimized support requests triage workflows, significantly improving response andresolution times, resulting in enhanced stakeholder satisfaction and increased NPS.• Directed cloud cost optimization strategies for the Commerce team, delivering over$200K annual savings; recognized as Slashathon 2024 Runner-Up.• Successfully deliver multiple end-to-end projects across Commerce PODs, including complex data backfill operations.• Spearhead organization-wide technology migrations including Qubole to Dataproc,internal GitHub to GitHub Enterprise Cloud (GHEC), Hive to Iceberg (ongoing) andEGSP to One Stream Platform (ongoing).• Promoted enhancement of monitoring and incident management by advocatingreduction of PagerDuty alert noise and prioritization of actionable alerts.• Encouraged on-call engineers to document incident details, including debugging stepsand resolutions, to improve knowledge sharing and streamline future incidenthandling.• Led Gen AI adoption initiatives, integrating GitHub Copilot to boost developerproductivity and exploring Cursor IDE for further efficiency gains.• Initiated POCs projects for RAG (Retrieval-Augmented Generation) and MCP (ModelContext Protocol) chatbot solutions by integrating with LLMs to enhance operationalefficiency and streamline support workflows in the customer support channel.

Education

• D.A.V Public School, Thermal Colony, Panipat

  Science

  2008 — 2013

• University of Staffordshire

  Bachelor of Engineering (BE), Computing

  2013 — 2017