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Principal-level Data and AI Engineer with 13+ years delivering enterprise data platforms, production ML systems, and GenAI/RAG applications with governed analytics architectures across aviation, loyalty, financial services, retail, and energy. Combines solution architecture, hands-on ML engineering, and stakeholder delivery to turn ambiguous workflows into secure, scalable AI-enabled products. Experienced in Snowflake/Databricks lakehouse design, Data Vault 2.0, Data Governance, and MLOps, with deep expertise in NLP, embeddings, hybrid retrieval, evaluation/monitoring, and enterprise RAG/agent workflows. Focused on building trustworthy, observable, and cost/performance-optimized systems integrated into business operations.…Principal-level Data and AI Engineer with 13+ years delivering enterprise data platforms, production ML systems, and GenAI/RAG applications with governed analytics architectures across aviation, loyalty, financial services, retail, and energy. Combines solution architecture, hands-on ML engineering, and stakeholder delivery to turn ambiguous workflows into secure, scalable AI-enabled products. Experienced in Snowflake/Databricks lakehouse design, Data Vault 2.0, Data Governance, and MLOps, with deep expertise in NLP, embeddings, hybrid retrieval, evaluation/monitoring, and enterprise RAG/agent workflows. Focused on building trustworthy, observable, and cost/performance-optimized systems integrated into business operations.

Siddhartha Siripragada

AI Engineer, Data Engineer, Software Engineer, +2

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Principal-level Data and AI Engineer with 13+ years delivering enterprise data platforms, production ML systems, and GenAI/RAG applications with governed analytics architectures across aviation, loyalty, financial services, retail, and energy. Combines solution architecture, hands-on ML engineering, and stakeholder delivery to turn ambiguous workflows into secure, scalable AI-enabled products. Experienced in Snowflake/Databricks lakehouse design, Data Vault 2.0, Data Governance, and MLOps, with deep expertise in NLP, embeddings, hybrid retrieval, evaluation/monitoring, and enterprise RAG/agent workflows. Focused on building trustworthy, observable, and cost/performance-optimized systems integrated into business operations.…Principal-level Data and AI Engineer with 13+ years delivering enterprise data platforms, production ML systems, and GenAI/RAG applications with governed analytics architectures across aviation, loyalty, financial services, retail, and energy. Combines solution architecture, hands-on ML engineering, and stakeholder delivery to turn ambiguous workflows into secure, scalable AI-enabled products. Experienced in Snowflake/Databricks lakehouse design, Data Vault 2.0, Data Governance, and MLOps, with deep expertise in NLP, embeddings, hybrid retrieval, evaluation/monitoring, and enterprise RAG/agent workflows. Focused on building trustworthy, observable, and cost/performance-optimized systems integrated into business operations.

Available to hire

Principal-level Data and AI Engineer with 13+ years delivering enterprise data platforms, production ML systems, and GenAI/RAG applications with governed analytics architectures across aviation, loyalty, financial services, retail, and energy. Combines solution architecture, hands-on ML engineering, and stakeholder delivery to turn ambiguous workflows into secure, scalable AI-enabled products.

Experienced in Snowflake/Databricks lakehouse design, Data Vault 2.0, Data Governance, and MLOps, with deep expertise in NLP, embeddings, hybrid retrieval, evaluation/monitoring, and enterprise RAG/agent workflows. Focused on building trustworthy, observable, and cost/performance-optimized systems integrated into business operations.

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Work Experience

Lead ML/AI Engineer / Solution Architect at WestJet

October 1, 2025 - Present

Led AI and data engineering solution architecture for Vision Flight Reporting and APPR claims processing. Designed production reporting architecture to convert semi-structured flight operations data into governed Snowflake reporting layers for Power BI, reducing manual reporting by ~40–50%. Built a GenAI/RAG APPR claim adjudication solution with evidence retrieval, regulatory reasoning, structured decision outputs, and analyst review support, improving review turnaround by ~70–80% for repeatable patterns. Implemented LangGraph/LangChain agent workflows with state management, validation, human-in-the-loop checkpoints, and production-grade error handling. Designed hybrid retrieval and reranking (keyword + dense embeddings, reciprocal rank fusion, cross-encoder reranking) to improve grounding and explainability (precision/grounded answer quality +~30–40%). Created LLM evaluation pipelines (faithfulness, relevance, regression, traceability, and cost/performance monitoring) reducing m

Lead Data / AI Engineer at Air Canada

May 1, 2021 - October 1, 2025

Delivered loyalty operations knowledge assistants and investigation workflows using RAG. Built a loyalty knowledge assistant to retrieve trusted answers across Aeroplan accrual, redemption, retro claim, reconciliation, and partner integration documentation. Developed a retro-claim investigation assistant retrieving member journey context, partner rules, transaction history, and policy guidance to speed up claim validation and reduce manual dependencies. Implemented partner onboarding knowledge bases (e.g., LCBO, Uber, Starbucks, Marriott) enabling natural-language search over earning/redemption rules, mapping logic, and reconciliation flows. Built grounded GenAI response generation using document chunking, embeddings, vector search, reranking, and source-aware answer generation to reduce hallucination risk. Developed sentiment-insight pipelines from customer feedback and digital channels. Integrated AI-ready loyalty data products with Member 360 and partner/activity/accrual/redemption/

Data Engineer / Cloud Data Architect at BMO Capital Markets

September 1, 2019 - May 1, 2021

Designed and implemented Azure/Snowflake cloud data solutions. Built end-to-end ingestion, validation, transformation, orchestration, and publishing pipelines from legacy and enterprise sources. Developed SQL/PL-SQL/T-SQL procedures and optimized reporting datasets to support analytics and BI use cases. Supported modernization efforts by converting traditional warehouse/ETL patterns into scalable Azure and Snowflake data-platform designs.

Data Engineer (various roles) at Wipro / Ness Technology / Tech Mahindra / Bajaj Finserv

September 1, 2013 - August 1, 2019

Delivered ETL, data warehouse, big data, and database engineering solutions across retail, financial services, energy, and information domains. Designed pipelines across RDBMS, Azure Data Lake, Hadoop/Hive, Sqoop/Oozie, Spark, AWS Athena/EMR, Snowflake, Redshift, Aurora, Oracle, and SQL Server. Created source-to-target mappings, logical/physical data models, ingestion scripts, unit tests, and release/deployment documentation. Optimized Spark/Hadoop/Hive/Oracle workloads (partitioning, broadcast joins, in-memory processing, query tuning, PL/SQL optimization). Supported production operations, load monitoring, BI/reporting performance, and migration from legacy ETL to cloud platforms.