Secure Software Engineer | Cybersecurity & Full-Stack

Building & Defending Systems
with Engineering Precision.

Secure Software Engineer • Full-Stack Development • Application Security

Architecting resilient systems by combining deep full-stack engineering with a security-first defensive mindset.

Security Profiles:
P Ganesh Krishna Reddy
SYS_SEC: ACTIVE

Industry-Recognized Certifications

🛡️
CompTIA CySA+
Cybersecurity Analyst
⚔️
CompTIA PenTest+
Penetration Tester

Core Expertise

Application SecuritySecure System DesignFull-Stack EngineeringCloud SecurityDevSecOpsThreat Modeling

Engineering Impact

Quantifiable achievements from engineering security-first architectures and conducting in-depth vulnerability research.

50+
Critical Vulnerabilities Remediated
Identified and fixed across labs, academic projects, and production-style environments
10+
Secure Websites Deployed
Architected and delivered via ProgVision for global clients

Featured Secure Engineering Projects

Selected work combining engineering and security. Each project addresses specific security challenges while delivering robust functionality.

Key Impact

Protects autonomous agent networks against adversarial prompt injections and privilege escalations with sub-12ms interception latency.

SentinelMind – Autonomous Threat Guardian for Agentic AI Systems

Zero-trust security layer and real-time monitoring gateway built for multi-agent AI ecosystems. Developed for the Microsoft Build AI Hackathon.

The Threat

As AI agents transition to taking autonomous, real-world actions, they become vulnerable to adversarial command hijacking, privilege escalation, and data exfiltration from compromised internal components.

Methodology

Designed a zero-trust scoring engine with keyword analyzers and payload inspection. Built a highly responsive Next.js dashboard with Recharts telemetry visualizing threat vectors in real-time.

Result & Impact

Achieved sub-12ms mitigation gateway latency with customizable threshold blocking (ALLOW / QUARANTINE / BLOCK) and immutable action audit logging.

AI/ML SecurityHands-On
Next.jsHands-On
TypeScriptHands-On
Zero-TrustHands-On
Threat DefenseHands-On
Key Impact

Provides continuous risk visibility and automated compliance auditing for third-party vendor ecosystems.

CRAG – Cognitive Resilience and Automated Governance

Built an AI-powered third-party vendor risk monitoring prototype with real-time risk scoring (0–100) and automated alerts.

The Threat

Organizations struggle to monitor vendor risks in real-time, often relying on manual periodic surveys that fail to capture immediate threat posture changes.

Methodology

Implemented RBAC for Admin/Vendor views, APScheduler-driven dynamic scoring engine, and compliance audit log. Designed a live glassmorphism dashboard with Chart.js visualizations.

Result & Impact

Delivered a dynamic risk score monitoring dashboard with continuous vendor risk visibility, backed by FastAPI, SQLAlchemy, and Firebase.

Full-StackProduction
AI GovernanceHands-On
FastAPIHands-On
SQLAlchemyHands-On
FirebaseHands-On
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