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Sri Phani
Deverakonda

Cybersecurity & Network Engineer with backend and AI/ML expertise, focused on building secure, scalable, and intelligent systems.

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Sri Phani Deverakonda Profile
CURRENT STATUS Active Ops (Sec/Noc)
Core Positioning

Defensive Engineering

"I design and secure systems across network, backend, and AI layers — from traffic-level analysis and SOC operations to building intelligent detection systems and scalable infrastructure."

Combining network engineering (L1 troubleshooting, OSPF/BGP routing layouts, and traffic forensics) with deep-seated security methodologies (IDS tuning, SIEM alert triage, and vulnerability assessments) creates a unified barrier against modern infrastructure threats.

Integrated Identity Matrix
Security + Networks + Backend + AI = Defensive Engineering Systems
Operational Capability Matrix

Core Strengths

Cybersecurity

Threat assessment, alert monitoring, and structural defense planning using real-time log engines.

Splunk SIEM Alert Triage (L1) Incident Response OWASP Top 10 Burp Suite OWASP ZAP Snort IDS/IPS MITRE ATT&CK Matrix
SOC Monitoring & Triage 90%

Network Engineering

Architecting secure topology layouts, path optimizations, routing protocols, and diagnostic analysis.

TCP/IP & OSI Models VLANs & Subnetting NAT / ARP / ICMP Routing (OSPF, BGP) Cisco Packet Tracer Wireshark Forensics tcpdump Capture IPsec VPN (IKEv2) PKI (X.509)
Diagnostics & Routing Configurations 85%

Backend & Systems

Developing asynchronous client-server infrastructures with cryptographic validation pipelines.

FastAPI RESTful APIs RBAC Rules Data Cryptography Async Python Socket Programming Postman Test Harness Concurrent Workflows
API Engineering & Cryptography 80%

AI/ML & DevOps

Using advanced models for traffic pattern checks, coupled with infrastructure-as-code automation.

Deep Learning (CNN/LSTM) LightGBM & KNN SHAP Explainability Docker OpenStack Ansible Automation Prometheus & Grafana Nginx & HAProxy
Model Deployment & Monitoring 75%
Defensive Engineering Demonstration

SOC Triage Sandbox

Simulate real L1 incident response, logs analysis, and threat mitigation steps. Select an alert from the SIEM monitor list to begin triaging.

MONITORING SIEM LOGS node: spd-soc-core
ACTIVE SIEM ALERTS COUNT: 3
SELECT A SIEM ALERT TO INITIATE TRIAGE WORKFLOW
Professional Record

Work Experience

NETWORKING / SUPPORT RECENT

Network Engineer L1 Intern

Infrastructure Operations & Client Services
  • Performed real L1 network troubleshooting and incident triage, resolving routing discrepancies and connection drops.
  • Managed client ticket flows, verifying SLA boundaries and handling structured escalation paths to L2/L3 engineers.
  • Created diagnostics documentation and playbooks, reducing time-to-resolution for recurrent network issues.
CYBERSECURITY PAST INTERN

Cybersecurity Intern

Threat Management Team
  • Identified 10+ core vulnerabilities across 20+ host endpoints, using active network scanning and manual configurations audits.
  • Engineered a secure client-server file system with strict Role-Based Access Control (RBAC) and AES-256 validation routines.
  • Analyzed and triaged 500+ active syslog and audit logs within a Splunk SIEM interface to isolate threat markers.
AI & ADVANCED DATA PAST INTERN

AI / NLP Intern

Machine Intelligence Lab
  • Built and deployed a toxic comment text classifier reaching 85% accuracy using machine learning algorithms.
  • Optimized data pipelines, transforming data loading layers to accelerate overall pipeline processing speeds by 30%.

Academic Background

🎓

MSc in Telecommunications Systems

Sweden (Advanced Network Architectures & Cybersecurity focus)
🎓

BTech in Electronics & Communication

ECE Core Foundations

Defensive Specializations

Trained to work in complex infrastructure scenarios:

  • NOC Engineer: Incident lifecycle, traceroute diagnostic pipelines, circuit audits, inter-VLAN routing problems.
  • Network Security: IPSec engineering, packet captures parsing, edge router ACL structures, DDoS mitigation profiles.
  • SOC Analyst: High-volume SIEM alert analysis, signature tuning, triage classifications.
Defensive Engineering Labs

Projects Portfolio

AI / Security

HTTP DDoS Detection System

My research thesis focused on high-precision detection of application-layer DDoS flood attacks. Built dynamic feature engineering pipelines on the CICIDS2017 dataset, combining ML (LightGBM, KNN) with Explainable AI models (SHAP) to interpret deep classifier decisions.

LightGBM CNN-LSTM SHAP Python
Networks

Network Architecture Simulation

Designed a complete, scalable enterprise network topology in Cisco Packet Tracer. Configured VLAN trunking, inter-VLAN routing, and Access Control Lists (ACLs) to establish network segmentation and strict perimeter control.

Cisco iOS VLAN Routing ACL Rules Packet Tracer
Cloud / DevOps

Cloud Deployment & Monitoring

Automated VM provisioning and network interface attachment on an OpenStack cloud layer using Ansible playbooks. Implemented a telemetry stack with Prometheus metrics exporters feeding into Grafana status dashboards.

OpenStack Ansible Prometheus Grafana
Cloud

Azure Load Balancer System

Configured load balancer traffic routing profiles in Microsoft Azure to distribute high rates of TCP requests across dockerized test nodes. Optimized request limits to handle service outages.

Azure Docker HAProxy Load Balancing
Security

IDS Threat Monitoring (Snort)

Deployed and tuned a Snort Intrusion Detection System to monitor external interfaces on a private subnet. Built rule filters to intercept specific flood signatures, resulting in less than 5% false-positive alerts.

Snort IDS PCAP Analysis Signature Tuning Bash
Security

ICMP & DoS Mitigation Labs

Simulated rate-limited flooding attacks (Ping of Death, UDP floods) against a target server. Developed custom iptables filters and firewall segments to rate-limit or drop toxic traffic patterns without disrupting user operations.

iptables DoS Simulation Network Capture Kernel Tuning
Backend

Secure Cryptographic RBAC File System

Designed a secure client-server API utilizing FastAPI. Built a role checking engine (RBAC) to control read/write execution thresholds, paired with cryptography mechanisms (AES-GCM encryption at rest, secure handshakes).

FastAPI Cryptography RBAC Pytest
Backend

Multi-Client TCP File Server

Programmed an asynchronous, multi-client TCP network socket server using Python's asyncio module. Handled simultaneous file downloads, verification checksum checks, and concurrent connection pool limits.

TCP Sockets asyncio Checksums Python
AI / Security

LLM Prompt Injection Threat Modeler

Analyzed and categorized prompt injection vectors (indirect prompt injection, jailbreaks) in Large Language Models. Built an assessment matrix testing defense strategies including input sanitization and prompt wrappers.

LLMs Threat Modeling Sanitization Security Testing
Real-Time

Meurs Real-Time Game Platform

Developed a real-time multiplayer application leveraging WebSockets for instant state synchronization. Integrated an LLM-based game engine to dynamically coordinate user actions and narrate matches.

WebSockets LLM Engine Node.js Real-Time Sync
Transmit Signal

Contact Me

Secure Email phanidatta0406@gmail.com
Mobile Hotline +91 7286912966
Secure Repositories github.com/Sriphani2001

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