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)