Krishana Khatri
Software Engineer @Meta
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WORK HISTORY
Software Engineer @Meta
SG
Languages: Hack, PHP, React, Google Vertex, TypeScript, GraphQL, SQLBuilt end-to-end code search for Meta\'s internal search platform, using a regex-based classifier to detect code queries in <10ns and returning relevantcode blocks across 1B+ of lines of code in <150ms, improving Task Success Rate by 1%.Diagnosed and resolved a silent indexing failure at Meta affecting 10M+ Workplace community posts, engineering an ACL-aware data pipeline and cold storage solution; ran old and new data stores in parallel, keeping them in sync during a gradual traffic migration to ensure zero data loss and permission-safe search indexability.
EDUCATION
CHANDIGARH UNIVERSITY
Bachelor's degree, Computer Science
ABOUT KRISHANA KHATRI
Software Engineer | Building Scalable Systems & AI-Driven Solutions | Meta, Atlassian, Agoda & Skit.aiI am a Software Engineer with 5 years of experience specializing in backend infrastructure, high-throughput systems, and the intersection of Search and AI. My career has been defined by a transition from early-stage startups to global tech leaders, consistently delivering solutions that improve system reliability and user success at scale.Throughout my journey, I have navigated diverse domains—from conversational AI and fraud prevention to core search platforms—always prioritizing performance and organized, action-oriented execution.AI & Search Highlights:Meta: Engineered an end-to-end code search feature for internal platforms, utilizing a regex-based classifier to detect queries in under 10ns and surface relevant blocks across 1B+ lines of code.Skit.ai: As a Founding Engineer, I architected a high-throughput ASR/TTS orchestration engine in GoLang, dynamically routing requests across providers to slash voice bot failure rates by over 50%.Atlassian: Optimized global search infrastructure through a zero-downtime OpenSearch upgrade, reducing p99 query latency by 15% and streamlining indexing for Jira and Confluence.Agoda: Automated fraud investigation workflows by 85% and developed a GDPR-compliant rule engine for sensitive data masking.Core Expertise:Languages: Java, Python, GoLang, TypeScript, Scala, Hack/PHP.Infrastructure: AWS, GCP, Kubernetes, Docker, Kafka, PostgreSQL, Elasticsearch.AI/ML: Vertex AI, OpenAI API, LangChain, RAG, and Agentic Workflows.I am passionate about the evolving landscape of Generative AI and its application in building smarter, more efficient applications. When I’m not coding, I’m likely diving into cinematography, following Formula 1, or exploring self-improvement strategies
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