---
title: "George Priji Promod - Cyber Security Intern in Thiruvananthapuram | Tal"
description: "Meet George Priji Promod, AI/ML Enthusiast · Computer Vision · Explainable AI · Graph ML · Cybersecurity | Intern @ Canza · M.Tech CS @ Mar Baselios | Research Intern @ NIT Silchar based in Thiruvananthapuram. AI stack includes hugging face, langchain, and ollama."
image: "https://tal.club/meet/george-priji-promod/share-image"
---

# George Priji Promod on Tal

## Headline

AI/ML Enthusiast · Computer Vision · Explainable AI · Graph ML · Cybersecurity \| Intern @ Canza · M\.Tech CS @ Mar Baselios \| Research Intern @ NIT Silchar

## About

Currently completing my M\.Tech in Computer Science at Mar Baselios College of Engineering, I work at the intersection of machine learning, computer vision, and cybersecurity\. My core focus: designing models that are both accurate and interpretable because in the real world, a black box that you can't trust is a liability, not an asset\. What I've built: A full end\-to\-end human identification pipeline from CCTV footage, combining HOG feature engineering, PCA/LDA dimensionality reduction, and SVM/CNN model comparison under real\-world occlusion and lighting conditions A multi\-texture crack detection system using semantic segmentation across diverse building surface types that built to withstand noise, stains, and environmental variation Research background: Selected for the highly competitive Satyendra Nath Bose Summer Internship Program at NIT Silchar, where I implemented and benchmarked overlapping community detection algorithms \(LBLD, FSLD, Prasar\) on real\-world social network datasets — evaluated against Louvain, LPA, SLPA, and ERCNS\. Security side: I've done hands\-on offensive security work — web app pentesting via Burp Suite, mobile security analysis via MobSF/OWASP, network recon with Nmap, and load testing via JMeter/BlazeMeter\. I think about AI systems with an adversarial mindset\. Tech stack: Python · PyTorch/TensorFlow · scikit\-learn · NetworkX · OpenCV · SHAP · LIME · Docker · Linux I'm currently seeking full\-time roles in AI Engineering, Applied ML, or Forward Deployed Engineering at AI\-first companies\. If you're building systems where interpretability and robustness matter — let's talk\.

## Location

Thiruvananthapuram

## AI stack

hugging face

langchain

ollama

openai

## Work experience

Cyber Security Intern at Canza Technology Consultants, Jul 2025 \- Aug 2025 · 2 mos, Thiruvananthapuram, ▢ Conducted adversarial web application security testing via Burp Suite, executing structured attack simulations across authentication, injection, and session management vectors — identifying and documenting exploitable vulnerabilities against OWASP Top 10 standards ▢ Performed mobile application threat modeling using MobSF on production APK files, mapping discovered vulnerabilities to OWASP Mobile Security standard to produce actionable remediation reports ▢ Executed network reconnaissance and topology mapping using Nmap across enterprise\-scale environments, analyzing firewall rule sets and exposed service footprints to surface misconfiguration risks ▢ Designed and ran multi\-scenario load testing using Apache JMeter \+ BlazeMeter, identifying system bottlenecks under peak traffic conditions and producing performance baseline reports for dev teams ▢ Earned ISC2 Cybersecurity \(CC\) certification and Master BlazeMeter Performance Testing certification during the internship period

Intern at National Institute of Technology Silchar, Jun 2023 \- Jul 2023 · 2 mos, Silchar, ▢ Selected for the Satyendra Nath Bose Summer Internship Program at NIT Silchar — a nationally competitive research fellowship in computational sciences ▢ Implemented and benchmarked 3 overlapping community detection algorithms \(LBLD, FSLD, Prasar\) using Python and NetworkX on 5 real\-world social network datasets \(Karate, Dolphin, Riskmap, Strike, Sawmill\) ▢ Evaluated algorithm performance across 6 graph\-theoretic metrics — modularity, permanence, isolability, coverage, Overlapping NMI, and NF1 — enabling rigorous comparative analysis ▢ Benchmarked against 4 state\-of\-the\-art baselines \(Louvain, LPA, SLPA, ERCNS\), contributing findings to comparative research on topological variance in complex networks

## Education

Master of Engineering \- MEng, Computer Science & Engineering, Mar Baselios College of Engineering and Technology \(Autonomous\) \| Thiruvananthapuram \| Kerala

Bachelor of Technology \- BTech, Computer Science & Engineering, North Eastern Regional Institute of Science and Technology \(NERIST\)

[View the original profile](https://tal.club/meet/george-priji-promod)

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