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AI Data Engineer
I build cloud-native data pipelines and production AI integrations that improve data quality and operational outcomes.
IndiaAI Data Engineer at Intellirev
Built real-time ETL pipelines in Python orchestrated via Cloud Functions and Cloud Scheduler, achieving 99.9% data uptime while processing $1M+ in annual claims. Integrated ML models and LLM-based agents into ELT workflows, cutting manual reconciliation time by 40% and flagging 95% of billing anomalies.
PythonPandasscikit learnCloud FunctionsCloud SchedulerGCPBigQueryCloud StorageDatastreamData QualityETLELTMachine LearningLLMAI AgentsHIPAA
Engineered an end-to-end fraud detection pipeline in Python, applying SMOTE-based class rebalancing to improve fraud recall from 65% to 85% on 250,000+ transaction records. Built and maintained ETL pipelines on Databricks, reducing query times by 20-40% through optimization and automation.
PythonPandasscikit learnSMOTERandom ForestDatabricksPySparkSQLETLData GovernanceData CatalogsMLlibSpark
Engineered ETL pipelines and complex SQL transformations within MySQL, increasing data throughput by 40% and cutting BI reporting latency by over 2 days. Built reusable dashboard templates for investment teams and architected an enterprise PostgreSQL analytics platform executing 10K+ monthly queries.
ETLSQLMySQLPostgreSQLData AnalysisDashboardingBusiness IntelligenceTableauGoogle Analytics
Pursued a Master's degree in Information Systems, focusing on the intersection of technology and business to drive data-driven solutions.
Earned a Bachelor's degree in Computer Engineering, building a strong foundation in software development and systems design.
Certified as a Databricks Certified Generative AI Engineer Associate, demonstrating proficiency in designing and deploying LLM-enabled solutions with Databricks tooling.
Profile sourced from Himalayas.