Entry-level Cybersecurity Analyst and AI Systems Engineer with hands-on experience in SOC automation, penetration testing, intrusion detection, and AI-driven multi-agent systems. IEEE-published researcher and holder of CRTOM and CNSP certifications. Built and deployed 7+ projects spanning real-time IoT intrusion detection, autonomous SOC agents, and LLM-powered multi-agent pipelines.
education: B.Tech Computer Science, Indira Gandhi Institute of Technology (2022β2026)
focus: SOC Automation Β· Penetration Testing Β· AI Agents Β· IoT Security
certified: Red Team Operations Management (CRTOM) Β· Certified Network Security Practitioner (CNSP)
research: IEEE published β ICDDS'25, IIIT Dharwad
seeking: Opportunities in cybersecurity, SOC engineering & Agentic AI systems|
Cybersecurity & Operations AI & Intelligent Agents |
Programming & Scripting Web Technologies & IoT Tools & Platforms |
|
Agentic AI Project | Python, NVIDIA NIM, Express.js, Vite AI-powered web app that crafts, tests, and refines production-ready prompts via conversational multi-agent workflow using NVIDIA NIM API (Llama 3.3 Nemotron 49B). Features A/B model comparison, prompt quality scoring, and version history with conversation branching.
|
Google AI Capstone | Python, Gemini API, LLMs Autonomous SOC agent using multi-agent framework, Gemini 2.0 Flash, and Groq LPU fallback for real-time threat detection and incident triage. Integrated VirusTotal, Cloudflare, and Discord APIs for threat enrichment with live Streamlit SOC dashboard.
|
|
Cybersecurity Project | Python, Scapy, Gemini AI, Streamlit Real-time Network Intrusion Detection and autonomous response platform using Scapy for live packet capture, a three-vector rule engine for anomaly classification, and Gemini AI integration for intelligent threat enrichment and contextual alert generation.
|
IoT Intrusion Detection System | Python, Suricata, ESP32, Raspberry Pi Hybrid network and physical-layer IDS combining Suricata, Node-RED, and ESP32 sensors for multi-vector real-time intrusion detection with live monitoring dashboard.
|
|
IEEE Research Project β Published at ICDDS'25, IIIT Dharwad Adaptive vehicle headlight control system using IR and LDR sensors for real-time ambient light detection and dynamic high/low beam switching, eliminating glare for oncoming drivers and enhancing night-time road safety.
|
Google Capstone | Python, Gemini API, NLP, OCR Multi-agent system automating legal invoice validation using NLP and OCR pipelines to detect billing anomalies and duplicate charges, speeding up approval turnaround.
|
|
Embedded Security | ESP32, Python ESP32-based wireless security assessment tool for SSID scanning, deauthentication testing, and network vulnerability identification.
|
Technical Presentation Delivered technical seminar on real-time IoT security using programmable network-based defence architectures for defending IoT systems against network attacks.
|
|
π Red Team Operations Management (CRTOM) Red Team Leaders Β· Jan 2026
|
π Certified Network Security Practitioner (CNSP) The SecOps Group Β· Dec 2025 (Merit)
|
|
π Junior Software Developer (NSQF Level 4) NASSCOM & Skill India Β· Sep 2022
|
π Fundamentals of Digital Marketing Google Digital Unlocked Β· Jul 2022
|
π IEEE Publication β ICDDS'25 Night-Time Headlight Automation System Presented at International Conference on Data-Driven Systems, IIIT Dharwad, 2025
|
Bachelor of Technology β Computer Science & Engineering Indira Gandhi Institute of Technology (KTU) 2022 β 2026 | Final Year Specialization: Cybersecurity & AI Systems |
Class XII β VHSE (Junior Software Developer) VHSS Higher Secondary School Paruthipally 2021 β 2022 | 75% |
|
Class X Janardhanapuram Higher Secondary School 2019 β 2020 | 92% |
|
π Cybersecurity Intern Acmegrade | 30 Days
|
π± Flutter Development Intern Luminar Technolab | 15 Days
|
| Language | Proficiency |
|---|---|
| Malayalam | Native |
| English | Professional |
| Tamil | Intermediate |
| Hindi | Intermediate |
| Telugu | Basic |
| Kannada | Basic |
Open to opportunities in cybersecurity, SOC engineering, and Agentic AI systems development. Reach out at nikhilkrishna.a2004@gmail.com.

