About Experience Skills Projects Contact

Seattle, WA — AI Security Engineer

Megha Narendra Simha

Software engineer with 4+ years building AI-powered security tooling and scalable production systems — verifying AI agent behavior with automated guardrails and hardening cryptographic pipelines end-to-end in CI/CD.

01

About

Megha Narendra Simha

I am a software engineer with 4+ years of experience building AI-powered security tooling and scalable production systems. I verify AI agent behavior with automated guardrails before outputs are trusted, and build cryptographic threat-detection pipelines that automate security workflows in CI/CD.

  • Building an AI-powered PQC security assessment pipeline at iLink Digital that verifies cryptographic risk and AI agent output before deployment.
  • Designed multi-agent systems for SmartCart AI and Supply Soul, pairing secure RAG pipelines with real production impact.
  • Support peers as a teaching assistant and hackathon mentor, translating complex AI and security concepts into repeatable learning journeys.
200+

students mentored

50+

hackathon participants guided

4+

years shipping secure software

Location

Seattle, WA

Apr 2024 – Mar 2026

Master of Computer Science

City University of Seattle — Seattle, WA, USA. Dean's List, Top 10%. Focused on AI/ML-driven applications, secure systems, and cloud-native architectures.

Jun 2014 – Jun 2018

B.E. Computer Science & Engineering

JSS Academy of Technical Education — Bengaluru, India. Grounded in software engineering, databases, and object-oriented programming.

02

Experience

Apr 2026 – Present

AI Security Intern

iLink Digital
  • Built an AI-powered PQC security assessment pipeline verifying cryptographic risk and AI agent output before deployment, reducing solution design time by 40%.
  • Evaluated 15+ PQC and CBOM concepts, detecting quantum-vulnerable algorithms (Shor's, Grover's, HNDL) requiring remediation.
  • Assessed VPN quantum risks and hybrid TLS 1.3 + PQC models, strengthening endpoint and infrastructure threat detection expertise.
Jan 2025 – Mar 2026

Student Worker / Teaching Assistant

City University of Seattle · Seattle, WA
  • Led support for AI, Database Systems, Cloud Computing, and Secure Systems courses for 200+ students and 8 professors.
  • Organized and executed a hackathon with 50+ participants, mentoring teams on AI agent and scalable system solutions.
Jun 2024 – Aug 2024

Software Developer Intern

Costco Wholesale · Issaquah, WA
  • Improved .NET Core microservices by optimizing async workflows and SQL queries, reducing API latency by 30% while maintaining secure data handling practices.
  • Built secure REST APIs using OAuth2, JWT, and RBAC, enforcing authentication, authorization, and access control for 8,000+ requests/day.
  • Presented system architecture to 50+ stakeholders in a fast-paced, cross-functional environment.
Feb 2022 – Feb 2023

Application Development Analyst

Accenture · Bengaluru, India
  • Developed backend and distributed data systems for 10,000+ users, applying object-oriented design and secure coding practices.
  • Designed QR-based workflows and optimized frontend performance, reducing load time by 40%.
  • Owned operational health and deployment efficiency using Azure DevOps CI/CD and Cosmos DB, including monitoring and incident resolution.
Apr 2019 – Mar 2021

Software Developer

NTT Data · Bengaluru, India
  • Led RxChange feature development in a multi-tiered distributed system and optimized SQL queries, reducing latency by ~30%.
  • Delivered documentation, code reviews, and KT sessions for 50+ engineers, and demoed product capabilities to 100+ stakeholders.
03

Skills & Tooling

AI, LLM & Agent Systems

Multi-Agent Systems
MCP Servers (FastMCP)
LangChain
RAG
Prompt Engineering
Mistral / LLM Integration

Languages & OOD

Python
C#
Java
JavaScript
TypeScript
Object-Oriented Design

Cloud & CI/CD

AWS
Azure
GCP
GitHub Actions
CI/CD Automation
Microservices

Security & Databases

OAuth2
JWT
RBAC
ChromaDB
PostgreSQL
SQL Server / MongoDB / Redis
04

Selected Work

01
Featured · AI Security

PQC Security Assessment Workspace

AI Security Copilot (Mistral LLM) that verifies cryptographic risk and generates security reports, gated by 3 production guardrails — prompt injection protection, hallucination detection, and output validation. NIST-grounded RAG pipeline, automated end-to-end in a GitHub Actions CI/CD security gate.

View on GitHub
02

SmartCart AI

A decision-centric agentic system for inventory waste reduction and pricing optimization. Multi-agent design with secure, OWASP-aligned RAG pipelines (PGVector, PyTorch), reducing perishable waste by 92% and improving prediction accuracy by 85%.

View on GitHub
03

Supply Soul

Pharmacy inventory management: a multi-agent forecasting system (FastMCP, PGVector) with a voice AI assistant and automated workflows, improving stock availability by 30% and reducing stockouts by 50%.

View on GitHub
04

AI Tutor

Gemini-based learning assistant that delivers quizzes, study plans, and collaborative edits.

View on GitHub
05

AWS Rekognition Image Analysis

React-based image analysis tool with Lambda, API Gateway, S3, and DynamoDB, achieving 95% detection accuracy on 200+ images.

View on GitHub
06

PodEdu AI

Next.js platform that transcribes video, generates AI podcast recaps, and streams AI avatar hosts.

View on GitHub
07

Auth0 Integration

Secured React experiences with robust Auth0 authentication and session flows.

View on GitHub
08

Beyond Baby Blues

Flask-based REST API hosting a LangChain ReAct agent powered by Mistral AI to support expectant mothers with mental-health guidance and automated appointment booking.

View on GitHub
05

Let's build something
secure together.

n.megha82@gmail.com