Garry Singh

Dynamic Principal AI and Data Engineer with 10+ years of hands-on experience architecting scalable big data pipelines, cloud-native infrastructures, and AI/ML-driven solutions for regulated industries including finance, government, retail, and compliance. Expert in real-time streaming, data governance, anomaly detection, and generative AI (LLMs, RAG, LangChain, LangGraph) to optimize performance, reduce latency by up to 60%, and ensure regulatory compliance. Proven leader in cross-functional teams, delivering high-impact projects with quantifiable results such as 30% error reduction and processing 10M+ daily metrics.

Head of Product & Engineering

RegCore.AI – Regulatory Intelligence, Toronto, ON | December 2024 – Present

• Directed product and engineering roadmap for AI-powered regulatory platform, leveraging LLMs (OpenAI GPT, Anthropic Claude, Cohere), RAG, LangChain, and LangGraph for automated obligation mapping and explainable compliance workflows, slashing manual triage by >60% in pilots with financial institutions
• Architected cloud-native systems on Azure and AWS with Kubernetes, Docker, and Terraform for secure data flows, vendor integrations, and governance frameworks, incorporating knowledge graphs and agentic AI for proactive risk mitigation
• Led multidisciplinary teams (data scientists, engineers, legal experts) in PoC development, utilizing PySpark, TensorFlow, and Kafka Streams for real-time monitoring, achieving audit-ready traceability and stakeholder alignment
• Implemented MLOps pipelines with CI/CD (Jenkins, Azure DevOps) and monitoring (CloudWatch, ELK Stack) to iterate on client feedback, enhancing platform scalability and reducing deployment times

IBM / Employment and Social Development Canada (ESDC), Toronto, ON | August 2022 – April 2024

Project: Benefits Delivery Modernization and Old Age Security (BDM/OAS)

• Engineered ML models using Python, TensorFlow, PyTorch, and PySpark on Azure AKS for real-time anomaly detection in benefit transactions, processing millions of payments daily with 30% reduction in data outliers via YData-Profiling and data governance metrics
• Designed microservices with Java Spring Boot, Azure ADF, APIM (OAuth 2.0, TLS), and Confluent Kafka for guaranteed-delivery patterns, integrating Apache NiFi and Databricks for seamless data workflows
• Developed data integrity reports with Pandas, Matplotlib, and SQLAlchemy, extracting insights from healthcare/financial datasets while deploying ELK Stack for performance monitoring and issue resolution
• Orchestrated ETL/ELT processes with Prefect and Airflow, ensuring compliance with regulatory SLAs through lineage tracking and quality scoring in Snowflake and PostgreSQL (pgvector for vector embeddings)

Northern Trust, Toronto, ON | April 2021 – August 2022

Project: GRM Enterprise Market Risk

• Built scalable data flows using Java, Scala, and Spark Structured Streaming on AWS EMR, processing 10M+ position metrics daily, optimizing risk reporting accuracy with Delta Lake on S3 and Parquet/ORC formats
• Optimized queries in SQL Server and Cassandra, reducing latency in high-frequency trading via AWS Glue and Lambda, and integrated SageMaker for predictive modeling of liquidity risks
• Developed REST APIs on AWS API Gateway with Swagger/OpenAPI, exposing enriched data for consumption, while implementing Bedrock and Guardrails AI for secure, compliant AI-driven calculations
• Engineered risk engines with Python (NumPy, Scikit-Learn) and Java (Spring Batch), leveraging CloudWatch for monitoring and Terraform for infrastructure-as-code, cutting processing times significantly

TD Bank, Toronto, ON | March 2020 – April 2021

Project: Convertible Trading Platform (CTP) - Capital Markets

• Migrated rule engines from Drools/Java to Scala (Akka, Play) with Druid, reducing infrastructure costs; implemented Spark SQL validations on Confluent Kafka topics for AWS-based in-memory processing
• Created Python ETL scripts (Pandas, NumPy) for data transformations (JSON, CSV, XML), integrating with AWS Data Lake and utilizing Kinesis for real-time synchronization of 5M+ transactions
• Orchestrated middleware migration from Solace to Confluent Kafka with connectors, KStreams, and KSQL, enhancing throughput and replay capabilities for audit compliance
• Built resilient Lambda microservices in Java 11, incorporating ReAct patterns and agentic AI for dynamic trading event handling

Albertsons, Vancouver, BC | January 2019 – March 2020

Project: Enterprise Data Integration Services

• Programmed microservices in Java Spring with Confluent Kafka and Spark SQL for real-time validations, integrating StreamSets, KTables, and KSQL to MongoDB on Azure for retail data channels
• Engineered pipelines on Azure ADF for high-throughput integration from Blob Storage and Kafka, using xmltodict and fastavro in Python for schema-adherent transformations
• Deployed containerized architectures with Kubernetes, Docker, and Azure DevOps/ARM templates, embedding security (Kerberos, ACLs) and monitoring (Splunk) for governance
• Automated XML/Avro data orchestration, reducing errors through data profiling and quality checks

Royal Bank of Canada, Toronto, ON | September 2014 – January 2019

Project: CTHUB - Corporate Treasury

• Developed Java/Struts applications with Spark for parallel processing of Basel III/OSFI reports, utilizing Hadoop (HDFS, MapReduce) and Hive for auditable data flows
• Designed ETL jobs in DataStage and Talend for ingesting diverse sources, optimizing storage on GCP with partitioned Parquet, BigQuery, and Cloud SQL
• Built secure APIs with Swagger on AWS API Gateway, integrating Oozie workflows and Flume/Sqoop for data-at-rest processing
• Implemented big data solutions with Storm and NiFi, enhancing traceability and compliance evidence retention

Master of Science in Software Engineering (AI & Machine Learning)

Oxford University, Oxford, UK

Dissertation: Real-Time Adaptive Knowledge Graph Construction for Regulatory Data – A Hybrid Approach Integrating Process Knowledge Learning/Forgetting Models and Large Language Models

Bachelor of Applied Science in Software Development & Network Engineering

Sheridan College, Toronto, ON

Bachelor of Business Administration

Vinayaka Missions Sikkim University, Sikkim, India