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_ _ _ _ | | | | (_) | __ _| | _| |__ _| |_ ____ ___ __ / _` | |/ / '_ \| | \ \ / /\ \ / / '_ \ | (_| | <| | | | | |\ V / \ V /| | | | \__,_|_|\_\_| |_|_|_| \_/ \_/ |_| |_| ██ CYBERSECURITY AI/ML ENGINEER TERMINAL ██ ██ akhilvvn@portfolio ██
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Akhil V Nair

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Building intelligent AI solutions for cybersecurity with expertise in threat detection, computer vision, and explainable AI. Creating secure, privacy-focused machine learning systems for real-world security applications.

08+   Projects  
05+ Certifications
01  Hackathon Win 

About Me

Get to know me better

AI/ML Engineer & Cybersecurity Specialist

I am an AI/ML Engineer specializing in Cybersecurity with a unique background in Criminology and Police Administration. This distinctive combination allows me to approach security challenges from both technical and investigative perspectives, building AI-powered solutions that address real-world threats.

As the HAC'KP 2025 Winner, I built the age estimation module for the Kerala Police CyberDome take-it-down platform, enhancing law enforcement capabilities with computer vision models optimized for real-time operational environments. My work focuses on security-focused AI applications including threat detection systems, forensics tools, and privacy-preserving machine learning.

My technical expertise spans explainable AI, generative models, and full-stack development, enabling me to create end-to-end ML pipelines that are not just functional but fundamentally secure by design. I combine offensive security knowledge with cutting-edge AI/ML techniques to build robust defense systems and investigative tools.

Cybersecurity

Security AI Specialist

AI/ML

Deep Learning Engineer

Computer Vision

CV Systems Developer

Akhil V Nair

Skills & Expertise

What I bring to the table

AI/ML & Deep Learning

TensorFlow/PyTorch

85%

Computer Vision

80%

Scikit-learn/XGBoost

75%

Model Deployment

70%

Programming & Development

Python

90%

JavaScript/React

75%

FastAPI/Flask

70%

SQL/Databases

65%

Tools & Frameworks

Linux/Jupyter

85%

Git/Docker

80%

Hugging Face/OpenCV

75%

Google Cloud Platform

70%

Projects

Some of my recent work

CyPrompt

CyPrompt - AI-Driven Security Platform

Built hybrid ML system with XGBoost and Autoencoders combined with LLM reasoning for real-time threat detection. Implemented 5-stage Google Gemini pipeline with SHAP explainability and interactive visualizations achieving sub-3s WebSocket latency.

PythonXGBoostTensorFlowGoogle GeminiFastAPIWebSocketSHAP
AI Image Forensics

AI Image Forensics & Investigative Tool Suite

Developed 8-tool AI/ML suite for image forensics including perceptual hashing, ResNet scene classification, CLIP-based multimodal retrieval, YOLOv8 object detection, and FastAPI + React investigator tool for comprehensive image analysis.

PythonResNetCLIPYOLOv8FastAPIReactComputer Vision
Salary Prediction

Employee Salary Prediction with Explainable AI

Built Random Forest model with SHAP explainability and gender fairness analysis. Deployed via Streamlit with interactive visualizations for live predictions and feature impact analysis, achieving strong performance metrics.

PythonRandom ForestSHAPStreamlitScikit-learnPandas
Age Estimation

Privacy-Focused Real-Time Age Estimation

Engineered client-side age estimation using faceapi.js and TensorFlow.js with on-device inference. Optimized lightweight models for low-latency predictions in production environments without compromising user privacy.

TensorFlow.jsfaceapi.jsJavaScriptComputer VisionPrivacy-First

Experience & Internships

My professional journey

HAC'KP 2025 Winner - AI Team Member

Kerala Police Cyberdome

  • Built age estimation module for the take it down platform, enhancing law enforcement capabilities for dark web content detection
  • Enhanced Grapnel dark web crawler into real-time solution for content detection and takedown operations
  • Deployed computer vision models including NSFW classification, caption generation, and pose estimation optimized for real-time performance in operational environments
Python TensorFlow Computer Vision Deep Learning Real-time Systems

Artificial Intelligence & Machine Learning Intern

Edunet Foundation (AICTE & IBM SkillsBuild) • June 2025 – July 2025

  • Gained hands-on experience in supervised/unsupervised learning, feature engineering, and model optimization techniques
  • Built Employee Salary Prediction model using Python, Scikit-learn, and TensorFlow with complete ML pipeline from data preprocessing to deployment
  • Achieved strong performance metrics (MAE, RMSE, R²) through systematic hyperparameter tuning and cross-validation
Python Scikit-learn TensorFlow Feature Engineering Model Deployment

Certifications

Industry-recognized credentials

  • Artificial Intelligence - IBM SkillsBuild, 2025
  • Cybersecurity Fundamentals - IBM SkillsBuild, 2025
  • Introduction to Cybersecurity - CISCO, 2026
  • Cloud Computing - NPTEL - IIT Kharagpur, 2025
  • Programming in C++ - C-DIT - Genisys Academy, 2016

Contact Me

Let's work together

Location

Thiruvananthapuram, Kerala, India

Availability

Currently available for AI/ML and cybersecurity internships, full-time roles, research collaborations, and freelance projects.