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RitikaVerma7/README.md

Ritika Verma

Cybersecurity Professional | AI Specialist

LinkedIn GitHub Blog Email

I'm Ritika Verma, a cybersecurity professional based in Cupertino, CA, with 7.5 years of experience across various facets of cybersecurity.

  • My expertise includes Enterprise Detection and Response, Database Security, Infrastructure Security, and Endpoint Data Loss Prevention (DLP). With a strong foundation in both theoretical and practical aspects of cybersecurity.
  • I've honed my skills in frameworks such as MITRE ATT&CK and OWASP Top 10, and am proficient in Risk Assessment, Incident Response, IAM Production Access Management, and Cloud Security.
  • Currently advancing my expertise through a masterโ€™s degree in information systems, with a specialized focus on integrating cybersecurity practices into AI/ML technologies.

๐Ÿ’ผ Experience

  • Santa Clara University - Reseach Assistant - AI Security (July 2024 โ€“ Present)
  • Box, Inc. - AI / Natural Language Processing (NLP) Intern (Jan 2024 โ€“ June 2024)
  • Santa Clara University - Generative AI - Teaching Assistant (April 2024 โ€“ May 2024)
  • SAP Labs - Cyber Security Design Specialist (July 2021 โ€“ April 2022)
  • SAP Ariba - Security Consultant (April 2019 โ€“ July 2021)
  • SAP SuccessFactors - Security Consultant (May 2018 โ€“ April 2019)
  • Accenture - Security Analyst (July 2014 โ€“ May 2018)

๐ŸŽ“ Education

Santa Clara University, Leavey School of Business | Santa Clara, CA

Master of Science in Information Systems
March 2025 GPA: 3.9/4.0 Dean's List: Spring 2024

Visvesvaraya Technological University | Bengaluru, Karnataka

Bachelor of Engineering, Computer Science & Engineering
June 2014


๐Ÿ”ง Technical Skills

Security Domain

  • Infrastructure Security
  • OWASP Top 10
  • Incident Response
  • DevSecOps
  • Penetration Testing
  • MITRE ATT&CK
  • Cloud Security
  • Vulnerability Management
  • Risk Assessment
  • Container Security
  • Threat Modelling
  • Compliance

Security Frameworks & Tools

  • McAfee DLP
  • PhishMe
  • CIS Benchmark
  • Splunk
  • Rapid7
  • PyTM
  • Tanium
  • Qualys
  • Inspec
  • Kali Linux
  • NIST
  • BurpSuite

AI / ML Domain

  • Generative AI
  • Neural Networks
  • Natural Language Processing
  • Deep Learning
  • LLM Evaluation
  • Topic Modelling
  • LangChain
  • RAG

Additional Skills

  • Agile Methodology
  • System Analysis and Design
  • ER Design
  • UML Diagrams

AI/ML Tech Stack: Pandas, NumPy, TensorFlow, Scikit-learn, NLTK, spaCy, PyTorch, Keras, Matplotlib, Seaborn, OpenAI GPT, Llama3, Phi3, Hugging Face & Ollama Transformers, OpenAI API, Serp API, MongoDB, Chroma DB, Pinecone DB, Streamlit, Gradio, Word2Vec


๐Ÿ“š Professional Trainings and Certifications

  • OSWA, Offensive Security WEB-200 (ongoing), 2024
  • AI Security & Governance, Securiti, 2024
  • Kubernetes, LinkedIn Learning, 2024
  • Deep Learning Specialization, DeepLearning.AI, 2024
  • Python Programming, Google, 2023
  • SANS GIAC 301 Information Security Fundamentals (GISF), 2017
  • Administering Microsoft SQL Server 2012/2014 Databases, 2016
  • CompTIA Security+, 2015
  • ISO LA 27001:2013 Lead Auditor, 2014

๐Ÿ”ฌ Projects

  • Cybersecurity Compliance and Remediation Automation - Developed a local Retrieval-Augmented Generation (RAG), providing dynamic cybersecurity recommendations and detailed remediation plans for security vulnerabilities.
  • Chatbot - RAG with Evaluation - Created and evaluated (using LLM evaluation, Llama Index) a Retrieval-Augmented Generation (RAG) powered chatbot designed to answer questions related to auto insurance policies.
  • Lease Recommendation Application Generator - Engineered a custom application using OpenAI embeddings, resulting in a personalized relocation service platform for tailored suggestions.
  • Skincare Recommendation & Pricing System - Developed a sophisticated ML-driven system for skincare recommendation and price forecasting, achieving 85% score for classification.
  • E-Learning Platform - Designed comprehensive database for Coursera, optimizing educational delivery through efficient data management and personalized learning recommendations.
  • Food Delivery Application - Designed a robust system implementing Agile methodology, to resolve key problems in food delivery for both customers and restaurants, enhancing operational efficiency and customer satisfaction through advanced search, live tracking, and optimized delivery.

๐ŸŒ Additional Information

Leadership Experience: President of AI Club at Santa Clara University; event organizer for internal corporate events; budget management.

CTF Experience: Actively participates in Pacific Hackerโ€™s CTF challenges

Professional Memberships: Member of Women in Cybersecurity (WiCyS), NIST/ NICE Cybersecurity Career Ambassador

Mentorship Experience: Generative AI mentor, providing guidance to students on AI/ML projects; mentor for Companyโ€™s new joiners.

Community Involvement: Monthly contributor to a children's education center from 2018 to 2022.

Interests: Neuroscience, Psychology, Yoga, Mindfulness, Skincare, Dancing, Fitness.


Pinned Loading

  1. GenerativeAI GenerativeAI Public

    Jupyter Notebook

  2. one-pixel-attack-keras one-pixel-attack-keras Public

    Forked from sreedath/one-pixel-attack-keras

    Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

    Jupyter Notebook