
Manogna Yadav
Pre-MS Education
PES University
Bachelor of Technology
Pre-MS Experience
Architected secure, data-intensive systems from scratch for Boeing R&D and led high-stakes cloud security and SOC 2 engagements for global AI platforms on AWS at Ernst & Young.
Functional Interest(s)
Data-Driven Decision Frameworks, Technology Transformation & Strategy, Full-Stack Security: From Architecture to Audit
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My career is driven by a fundamental belief that the most resilient technology is built at the intersection of deep technical engineering and strategic business risk. I thrive in the space between the code and the client, translating complex system vulnerabilities into actionable roadmaps and transforming ambitious R&D concepts into tangible realities.
This philosophy was forged through two distinct, yet complementary, experiences.
As a Technology Risk Consultant at Ernst & Young, I was the advisor. My role was to navigate the complex technology landscapes of global enterprises and mitigate their most pressing risks. For a major telecommunications client, I owned the end to end risk assessment across their enterprise applications. By diving deep into their system data, I identified and quantified the critical vulnerabilities that had led to years of recurring issues. My analysis and findings formed the direct foundation for the strategic mitigation roadmap that drove a verifiable 80% reduction in audit findings once adopted by leadership. In another high stakes engagement, I led the SOC 2 attestation for Uniphore's AWS hosted AI platform, coordinating eight global engineering and InfoSec teams to validate over 100 technical controls in a fast paced CI/CD environment.
Before my corporate career, I was the builder. During a multi year R&D initiative for Boeing at the Indian Institute of Science, I was a core member of the engineering team tasked with a blue sky problem, solving for autonomous urban flight. My primary responsibility was architecting the Collaborative Decision Making System (CDMS), building the entire data intensive system from the ground up. This included developing its primary analytical engine: the 4D conflict detection algorithm in Python, a critical safety component designed to model and prevent collisions within a dynamic, multivariable simulation of urban airspace. This experience solidified my philosophy that security cannot be an afterthought; it must be architected into a system's core design from day one.
This unique blend of "builder" and "advisor" defines my value proposition. I have the hands on engineering background to understand how complex systems work and the strategic consulting experience to explain why they matter to the business. I am currently pursuing my Master's in Management Information Systems at Texas A&M and my goal is to apply this dual perspective to solve critical challenges for innovative companies.