Akshay Mittal

AI-Augmented DevSecOps Researcher & Architect

Secure cloud-native systems, agent identity, and DevSecOps automation—across industry, research, and open source.

About

I build AI-driven security and DevSecOps automation for cloud-native financial infrastructure at PayPal. I am an IEEE Senior Member, author of 30+ peer-reviewed publications, and an active peer reviewer and program committee member across IEEE and ACM venues.

IEEE Senior Member · Member of Technical Staff, PayPal · Ph.D., Information Technology (University of the Cumberlands, 2026)

50M+
Daily Transactions Secured
30+
Academic Publications
100+
Peer Reviews
$2M+
Cost Savings
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About

I'm a Member of Technical Staff, Software Engineer at PayPal with over 10 years of experience designing and delivering secure, scalable cloud-native applications across the entire technology stack. Currently, I architect AI-driven security solutions for PayPal that safeguard 50+ million daily transactions and $1.53 trillion in annual transaction volume.

My expertise spans AI-driven threat detection, DevSecOps automation, cloud-native infrastructure (Kubernetes, microservices), and critical infrastructure protection. I focus on building secure systems, leading cross-functional teams, and mentoring engineers through community programs and one-on-one sessions.

As an IEEE Senior Member (peer-nominated; top tier of IEEE membership) and Ph.D. graduate in Information Technology, I contribute to the academic community through 30+ peer-reviewed publications, book chapters in volumes from Springer Nature and IGI Global, and academic service including program committee roles for IEEE, ACM, and international conferences. I serve as Chair and Organizer of the ACM Austin professional chapter (1,000+ members on Meetup as of early 2026) and as a judge for competitions including NASA Space Apps Challenge, MassChallenge Texas, and other hackathons and demo days. My research spans AI-driven security automation, autonomous cybersecurity systems, and zero-trust architectures with practical applications in enterprise environments.

Education: Ph.D. in Information Technology, University of the Cumberlands (completed 2026) | M.S. in Computer Science, Texas State University

Experience

Selected roles across financial services, retail, and cloud-native platforms, focused on measurable outcomes and production impact.

PayPal
Current

Member of Technical Staff, Software Engineer

  • Architected AI-driven security controls for systems processing 50+ million daily transactions and $1.53T annual volume.
  • Improved reliability with 20% p95 latency improvement and 30% reduction in error rates.
  • Reduced false positives by 30% and automated remediation for 60% of security incidents.
  • Led SpecFixer as SME/sole contributor; recognized with PayPal CTO Innovation Award (Innovation Excellence, 2nd Runners-Up).
AI Security Cloud-Native DevSecOps Kubernetes
Cox Automotive
Previous

Software Engineer

  • Delivered scalable cloud-native services supporting enterprise workflows across automotive technology platforms.
  • Built and hardened CI/CD and operational tooling to improve release safety and developer velocity.
  • Collaborated cross-functionally to ship reliable features in high-availability environments.
Cloud-Native DevOps Distributed Systems
Home Depot
Previous

Software Engineer (Enterprise Platforms)

  • Reduced manual tax calculations by 70% through platform automation and integration improvements.
  • Improved on-time deliveries by 15% and reduced fuel costs by 10% across 2,000+ trucks.
  • Built scalable services supporting real-world operational workflows at enterprise scale.
Automation Distributed Systems Enterprise
Charles Schwab
Previous

Senior Software Engineer (Cloud Automation & Migration)

  • Engineered cloud migration automation compressing timelines by 75% (24–36 months to ~6 months).
  • Achieved 99.8% first-attempt success rate through repeatable automation and guardrails.
  • Delivered $2M+ documented cost savings via platform efficiency and operational improvements.
  • Established reusable patterns adopted across financial services teams.
Cloud Automation Platform Engineering Reliability

Portfolio & Open Source

Four representative threads: agent identity, research-backed security AI, published DevSecOps automation, and production-scale financial infrastructure outcomes.

AI Agent Infrastructure
GitHub

Agent Name Service (ANS): DNS for AI Agents

Problem: Multi-agent systems need secure identity, discovery, and trust routing across cloud-native environments.

Approach: Built a Kubernetes-native trust layer supporting MCP and A2A patterns with secure discovery and routing primitives.

Outcome: Reproducible agent identity and routing patterns with a clear demo path for platform teams adopting agentic systems.

AI Agents Identity Kubernetes
Research Reproducibility
GitHub

GenSecAI-Ops (SEDE 2025): RAG for Vulnerability Detection

Problem: Security teams need reliable AI assistance without high hallucination rates.

Approach: Evaluation-driven RAG workflow with reproducible experiments and governance-oriented outputs.

Outcome: Strong F1 with a low-hallucination profile, packaged as open reproducibility code for researchers and practitioners.

RAG Security Research
DevOps Automation
GitHub

AI-Augmented DevOps: Secure Pipeline Automation

Problem: Pipelines fail from configuration drift, operational complexity, and slow remediation loops.

Approach: Self-healing and predictive maintenance patterns with security-by-design workflow guidance.

Outcome: Reference implementation showing how AI can reduce toil and improve deployment reliability.

DevSecOps Automation IEEE
Production Impact
Profile

Financial-Platform Security at Scale (PayPal)

Context: Global payments require resilient AI-driven security controls without drowning operators in noise.

Approach: Architected and shipped controls across cloud-native financial infrastructure with measurable reliability and incident outcomes.

Outcome: Systems supporting 50M+ daily transactions and $1.53T annual volume; ~30% false-positive reduction; automated remediation for a majority of security incidents; meaningful latency and error-rate improvements.

PayPal AI Security Cloud-Native

Awards & Recognition

Recognized for outstanding contributions to technology and innovation in the industry. Each card includes a compact visual where a certificate or official record is available.

IEEE UEMCON 2025 best paper award certificate
2025

IEEE UEMCON 2025 Best Paper Award

First Author - Cloud Security Research

Academic Excellence Cloud Security
IEEE UEMCON 2025 Best Paper Award certificate (LLM hallucination framework paper)
2025

IEEE UEMCON 2025 Best Paper Award

First Author - LLM Framework Research

Academic Excellence AI/ML
IEEE CCWC 2026 Best Presenter award
2026

IEEE CCWC 2026 Best Presenter Award

First Author — Best Presenter recognition (large international submission pool)

Best Presenter IEEE
IEEE ICCA 2025 Best Paper award certificate
2025

IEEE ICCA 2025 Best Paper Award

First Author - Recognized among 13 accepted papers at conference

Best Paper IEEE ICCA
PayPal CTO Innovation Excellence certificate
2025

PayPal CTO Innovation Award

Innovation Excellence - 2nd Runners-Up | Led SpecFixer project

Industry Innovation AI Automation
IEEE ICCST 2025 with IEEE President Kathleen Kramer
2025

IEEE Senior Member

Top 10% of 500,000+ global members | Official elevation letter from IEEE President

Professional Recognition IEEE
2025

Innovative Application in Analytics Award

Semifinalist - Long Island University School of Business

Data Analytics Innovation

Technical Expertise

Comprehensive skills spanning full-stack development, AI research, and secure cloud infrastructure.

AI & Cybersecurity Research

  • AI-Driven Threat Detection
  • Machine Learning for Cybersecurity
  • Agentic AI & Autonomous Systems
  • Federated Learning for LLM Agents
  • Zero-Trust Architecture
  • Self-Healing Security Platforms

DevSecOps & Cloud Infrastructure

  • Kubernetes & Container Orchestration
  • Microservices Architecture
  • CI/CD Pipeline Security
  • GitOps & Policy-as-Code
  • AWS, Azure, GCP
  • Cloud-Native Security Automation

Programming & Tools

  • Python, Go, Java, JavaScript
  • Shell Scripting & Automation
  • Cryptographic Identity Management
  • mTLS, OPA, DIDs
  • Distributed Systems
  • Edge Computing

Leadership & Academic Service

  • IEEE Senior Member
  • ACM Local Mentoring Committee
  • Technical Program Committee Member
  • Peer Review for Top-Tier Conferences
  • Competition & Hackathon Judging
  • Community leadership (Chair & Organizer, ACM Austin Chapter)

Research & Service

Three representative publication threads, two publisher-backed books, and a compact view of academic service. Full venue lists and the complete bibliography live on Google Scholar and ORCID.

Selected publications

Journal
2020

Data Privacy and Security with Cloud Computing

Digital Health Journal

Solo-authored | 20+ citations (Google Scholar, as of May 2026)

Cloud Security Data Privacy
IEEE Xplore listing for sole-authored SOSE 2025 paper
IEEE Xplore indexing for the sole-authored SOSE 2025 proceedings paper (companion repository linked above).

Books & monograph

Published 2026

AI-Enabled DevSecOps for Secure Cloud Deployments

Springer Nature (book chapter)

AI-driven DevSecOps for automated security, policy enforcement, and secure multi-tenant cloud deployments.

DevSecOps Springer
Forthcoming

AI-Powered Cloud-Native DevSecOps

Springer Nature Monograph

Monograph under contract on AI-powered DevSecOps for cloud-native systems.

Monograph Cloud-Native

Peer review, committees & judging

Media

Conference talks, podcasts, and long-form interviews. Tap a thumbnail to load the YouTube player. For a larger catalog (Cox, ICCA, meetups, workshops), open the video library tile below.

Full video library Dedicated page with Cox CEO highlight, ICCA recordings, Cloud Austin ANS, tech talks, and more.
2025–2026

Featured conversation — AI-powered DevSecOps and agent trust

Podcast / long-form

Agent Name Service (ANS), zero-trust patterns for AI agents, and securing large-scale cloud-native systems.

Podcast AI Security DevSecOps
May 12, 2026

InnoTech Austin — Agentic DevOps in the Autonomous Cloud

Speaker

Session on agentic DevOps and autonomous cloud operations. Details: InnoTech Austin.

InnoTech Austin 2026 speaker announcement
Conference DevOps
Feb 18, 2026

Data Science Salon ATX 2026 — AI Love Data

Expert Speaker & Panelist

AI Love Data runs the Data Science Salon series. One of five expert panelists discussing AI and data science innovations in Austin.

Data Science Salon Austin 2026 speaker card (AI Love Data)
Conference Panel
Jan 13, 2026

GSDC AI in Action 2026

Featured Speaker

International organization (19,945+ LinkedIn followers).

International AI
Jan 24, 2026

The AI Space Podcast

Featured Guest

29,300+ YouTube subscribers.

Podcast Media
Jan 23, 2026

AI in the Real World Podcast

Featured Guest

Palo Alto Networks podcast.

Podcast Security
2025

IEEE GenAI Summit 2025

Speaking Engagement

IEEE Computer Society event.

IEEE GenAI
2025

MLOps World 2025 – Agent Name Service (ANS)

Featured Speaker

Conference session on Agent Name Service (ANS) for secure AI agent identity and trust in cloud-native environments.

MLOps Conference

Let's Connect

I'm always interested in discussing new opportunities, technical challenges, or potential collaborations.