Resume

Bhaskar Boruah

Senior AI Architect with 16+ years of enterprise experience building AI, cloud, GRC, and integration platforms. Focused on agentic AI, RAG, MCP-based orchestration, responsible AI governance, and production platform architecture.

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Experience

Enterprise Solution Architect / Toyota Motors North America

Dec 2024 – May 2026

Architected Toyota GPT — a production multi-LLM platform serving 15,000+ employees, routing queries across Amazon Bedrock (Claude), Azure OpenAI GPT-4, and Google Gemini via an MCP orchestration layer with SSE streaming to a React SPA
Designed multi-tier RAG pipeline using Amazon OpenSearch vector search, Airflow-triggered ECS ingestion, and a polyglot data strategy (DynamoDB, RDS, ElastiCache, S3) — measurably reducing knowledge-retrieval latency
Built agentic AI Data Discovery Platform on AWS Bedrock enabling natural language queries against enterprise data lake metadata with autonomous tool invocation (schema lookup, lineage traversal, sample data fetch)
Engineered CDC-based replication pipeline replicating 5M+ daily records from SAP Datasphere to AWS S3; led migration of 600+ SAP PI/PO interfaces to BTP Integration Suite
Identified ~36% AWS RDS cost reduction within two weeks through right-sizing and Multi-AZ reconfiguration

Solution Manager / Estuate, Inc.

Apr 2023 – Oct 2024

Architected enterprise GRC platforms for Autodesk and Expedia covering Risk, Compliance, Audit, BCM, and Incident management — translating regulatory mandates into scalable technical roadmaps
Built real-time integration pipelines connecting GRC systems with ERP, CRM, and financial systems using Python, Java, Kafka, and RESTful APIs
Implemented CI/CD delivery via Jenkins and Docker, leading Agile sprints in Jira across cross-functional teams

Principal Technical Architect → Technical Consultant / MetricStream / USAA

Jan 2016 – Apr 2023

Led AWS cloud migration of enterprise GRC platform for USAA — achieving 30% operational cost reduction using Terraform and Python automation
Designed real-time streaming risk monitoring pipeline (Python, Kafka, AWS Lambda) processing 100K+ events/day with a 65% reduction in incident response time
Built ensemble ML models (logistic regression + decision trees, PyTorch/Scikit-Learn) for credit risk assessment, improving prediction accuracy by ~25%
Implemented high-performance compliance reporting APIs serving 5,000+ business users at sub-second latency across 50+ integrated systems

Technical Lead / Senior Member Technical Staff / MetricStream

Aug 2009 – Jan 2016

Developed GRC solutions for Bank of America in Java, Python, and SQL serving 10,000+ users across risk and compliance functions
Implemented regulatory compliance reporting modules and responsive web applications using Spring MVC, JavaScript, and Oracle

Skills

AI strategy and architectureResponsible AI governanceCloud-native system designModel evaluation and deploymentEnterprise integrationSecurity and risk management

Education

Master of Science in Artificial Intelligence

University of Texas at Austin / 2026 – 2027 (Expected)

Master of Computer Applications (MCA)

Assam Engineering College, Gauhati University / 2009

Bachelor of Science – Physics (Hons)

Jorhat Science College, Dibrugarh University / 2002 – 2005

Certified Solutions Architect – Associate

AWS / Oct 2022