Lead Engineer, Solution Architect, IEEE Senior Member & AI Security Researcher.
I build secure, scalable enterprise systems and translate research-grade ideas into production-ready architectures. My work focuses on AI security, privacy-preserving systems, federated learning governance, secure LLM operations, DevSecOps, AIOps, and cloud-native platform engineering.
About
I am a Lead Engineer and Solution Architect with 15+ years of experience across enterprise software engineering, cloud-native systems, ERP-integrated platforms, AI-enabled systems, cybersecurity, and software modernization.
My work sits at the intersection of engineering execution and applied research: building platforms that are secure, observable, compliant, scalable, and maintainable in real production environments.
Research & technical focus
- AI security, responsible AI architectures, and secure LLM operations
- Privacy-preserving AI, differential privacy, and minimal audit logging
- Cross-border federated learning governance under HIPAA/GDPR constraints
- Cloud-native observability, AIOps, anomaly detection, and reliability engineering
- DevSecOps, supply chain security, SBOMs, SLSA, provenance, and Zero Trust practices
Enterprise leadership
Lead Engineer | Solution Architect
Cornerstone Building Brands
- Architect and lead enterprise platforms integrating ERP systems, pricing intelligence, workflow automation, and data pipelines.
- Design and modernize business-critical systems using .NET, SQL Server, cloud services, APIs, and secure architecture patterns.
- Own production reliability concerns including performance, observability, maintainability, operational controls, and issue triage.
- Translate security, privacy, and governance requirements into deployable engineering solutions.
Architecture principles
- Security by design: identity, authorization, auditability, least privilege, and secure data flows.
- Operational clarity: observability that supports incident response, accountability, and measurable reliability.
- Cost-aware scale: architectures that balance performance, maintainability, and operational cost.
- Evidence-ready delivery: technical decisions documented for audits, stakeholders, and long-term governance.
Selected publications
Peer-reviewed research focused on AI security, privacy-preserving systems, federated learning, DevSecOps, LLM security, and AIOps.
PrivBuild-AI: An RL-Powered Framework for Differentially Private Data in DevSecOps
Reinforcement learning approach for dynamically adjusting privacy controls while preserving utility in DevSecOps pipelines.
Who Prompted What? Privacy-Preserving Incident Detection for LLM Systems Using Minimal Audit Logs
Minimal-audit logging strategy for detecting enterprise LLM misuse while reducing privacy risk and operational overhead.
Compliance-Aware Cross-Border Federated Learning for Security Telemetry Under HIPAA/GDPR
Governance-aligned federated learning framework for security telemetry collaboration under cross-border policy constraints.
Scalable AIOps: A Framework for Lightweight Observability and Anomaly Detection in Large-Scale Cloud Clusters
Resource-efficient anomaly detection and observability model balancing signal quality, operational cost, and maintainability.
Speaking, chairing & industry sessions
Selected accepted and delivered sessions across AI, cybersecurity, DevSecOps, platform engineering, and software modernization.
3rd International Conference on Artificial Intelligence: Theory and Applications (AITA 2025)
From Pipelines to Predictions: Architecting Data Systems that Fuel Responsible AI
Global Data & AI Virtual Tech Conference Incentives
Next-Gen Pricing Intelligence: Applying Machine Learning to Optimize Complex Enterprise Discounts
9th International Joint Conference on Advances in Computational Intelligence (IJCACI 2025)
Session chair contribution supporting academic discussion and paper presentations in computational intelligence.
SecureWorld Detroit
From Scripts to Shields: Automating Cyber Defenses with PowerShell & AI
SecureWorld Virtual Conferences
Automation with PowerShell & dbatools: Streamlining SQL Server Management
MIDOTNET
From Pipelines to Predictions: Architecting Data Systems that Fuel Responsible AI
BSides Cleveland 2025
From Scripts to Shields: Automating Cyber Defenses with PowerShell & AI
Conf42 DevSecOps 2025
Supply Chain Defense by Default — SBOMs, SLSA, and Provenance in CI/CD
Conf42 DevOps 2026
Shift Left, Shield Right: A DevSecOps Playbook for AI-Era CI/CD Pipelines
TestingMind Detroit
Hosted and contributed to panel discussions on AI in quality engineering, automation, and software delivery.
HackOnVibe
Contributed as a judge and mentor, supporting teams building AI-assisted products and evaluating submissions for real-world usefulness, AI integration, technical execution, product thinking, and business potential.
MenderCon 2026
The Hidden Cost of “Just One More Fix”: How Tech Debt Slowly Breaks Production Systems
PHP Tek 2026
Secure by Design – Hardening JavaScript Applications in 2026
Podcasts & media appearances
Conversations on responsible AI, Zero Trust, AI-driven cybersecurity, enterprise architecture, cloud security, and observability.
BizBlend
Can AI make security teams proactive instead of reactive?
AIBiZ
Zero Trust security in hybrid enterprise environments.
The Iferia Techcast
AI, cybersecurity, cloud systems, and practical enterprise technology leadership.
What If You Could
Discussion on AI architecture, practical innovation, and technology leadership.
Impact of AI: Explored
Responsible AI, enterprise systems, and real-world AI adoption.
Web3 Unfiltered
From Firewalls to Intelligence: AI-driven cybersecurity.
DESIGNWAVE Podcast
Recorded conversation pending release.
Conversations with Zena, my AI Colleague
Recorded conversation pending release.
Professional service
- IEEE Senior Member, Southeastern Michigan Section
- Technical Program Committee member for international conferences
- Peer reviewer and research paper evaluator in AI, cybersecurity, privacy, and cloud systems
- Contributor/reviewer in security, standards, and AI governance communities
- Conference host, panelist, and session chair
- HackOnVibe judge and mentor for AI-assisted product builders
Review & judging areas
- AI-assisted systems, LLM applications, agentic AI workflows, and hackathon project evaluation
- Cybersecurity, Zero Trust, secure software design, and DevSecOps
- Cloud-native architecture, Kubernetes, platform engineering, and observability
- Privacy-preserving AI, federated learning, audit logging, and compliance engineering
- Enterprise software, business platforms, product feasibility, and real-world adoption
Security community & standards contributions
Cloud Security Alliance
Contribution/review activity aligned with Zero Trust, enterprise resilience, and cloud security best practices.
HackOnVibe
Supported hackathon participants through mentorship and judging, with emphasis on practical AI integration, technical quality, product feasibility, security awareness, and user value.
OWASP, AI security, and standards-oriented work
Engagement in AI security and standards discussions related to secure development, AI-generated code, and responsible deployment patterns.
Contact
For speaking invitations, podcast appearances, judging opportunities, peer review requests, research collaboration, or enterprise AI/security architecture discussions:
Email: bhaskar.sawant@ieee.org
Location: Canton, Michigan, USA
LinkedIn: bhaskar-bharat-sawant-533218122
Google Scholar: View research profile