SATVIKA S __PROT 0__ __PROT 2____PROT 8__/satvika __PROT 3____PROT 9__/in/satvika s b 055 b 5333 Bengaluru India About B__PROT 10__ CSE (AI) undergraduate at Amrita Vishwa Vidyapeetham (CGPA: 8__PROT 11__) with hands on experience in AI research cybersecurity tooling and deep learning. Currently building security tools at Infosys. Passionate about applying ML to high impact domains including bioinformatics and computer vision. Education B__PROT 12__ in Computer Science Engineering (Artificial Intelligence) Expected 2028 Amrita Vishwa Vidyapeetham Bengaluru CGPA: 8__PROT 13__ Skills Languages:Python Java C __PROT 1__ HTML/CSS Frameworks & Tools:Django Streamlit OpenCV Scikit learn Py Torch Git VS Code Figma Concepts:Machine Learning GNNs Computer Vision DSA OS Cybersecurity OOP Internship Experience Artificial Intelligence Intern Infosys Built an end to end automated web vulnerability scanner in Python detecting SQL Injection XSS authentication flaws and access control issues identified 34 vulnerabilities across a target application. Designed a modular crawler pipeline feeding 4 independent testing modules with structured JSON output; automated HTML report generation with severity charts and mitigations. __PROT 4__ Coach In Mentee Feb 2026 June 2026 __PROT 5__ Selected for a competitive mentorship program focused on career development and technical interview preparation. Participated in mock interviews with industry mentors; applied personalised feedback to strengthen problem solving ap proach and technical communication. Gained practical guidance on resume building __PROT 6__ optimisation and industry expectations. QA Tester (Volunteer) Jul 2025 Aug 2025 NRIVA Website Performed functional and usability testing; documented reproducible bug reports improving overall website reliability. Projects HIV 1 Drug Resistance Prediction using ESM 2 and Graph Neural Networks Python Py Torch GraphSAGE SHAP Predicted HIV 1 resistance to 24 antiretroviral drugs by combining ESM 2 protein language model embeddings with GraphSAGE to capture co occurring mutation interactions. Built a full pipeline on Stanford HIVDB data (sequence curation subtype polymorphism correction confidence weighted labeling); achieved AUROC up to 0__PROT 14__. Integrated SHAP based explainability and epistasis analysis to surface clinically relevant mutation combinations driving resistance. Handwriting Biometrics via Camera Captured Documents Python Res Net 18 SHAP LIME Built a writer identification system using Res Net 18 to extract 512 dim handwriting embeddings from camera captured documents no specialized biometric hardware required. Evaluated 10 classifiers + stacking ensemble across Original PCA and SFS feature sets; stacking on full embeddings achieved 97__PROT 15__% test accuracy. Applied SHAP and LIME for feature level explainability making the system interpretable for real world deployment. Token Based Dining Philosophers Python Threading OS Concepts Designed a deadlock free token passing solution with priority scheduling and thread synchronisation guaranteeing bounded waiting and starvation freedom under concurrent execution. Achievements & Activities CTF Player Team bi 0 s one of India's top competitive cybersecurity teams. She Fi Scholar (Web 3/blockchain cohort) __PROT 7__ Coach In Mentee '26. Team Lead GDSC (Google Developer Student Club) Executive IEEE WIE Art Club Member.