Software Engineer | Artificial Intelligence | Cybersecurity | System Design

I am an Information Technology undergraduate passionate about designing and developing scalable software solutions that solve real-world problems. My interests span software engineering, artificial intelligence, cybersecurity, distributed systems, and backend development.

Through academic projects, internships, and continuous learning, I have gained practical experience in Python development, data analytics, cybersecurity, and AI-powered applications. I enjoy transforming ideas into production-ready systems while continuously improving my knowledge of modern software architecture.

• Information Technology Undergraduate (2024–2028)
• CGPA: 9.0 / 10
• Software Engineering Enthusiast
• AI & Cybersecurity Practitioner
• Passionate about solving real-world engineering problems
• Strong believer in continuous learning and open-source collaboration

• Software Engineering
• Artificial Intelligence
• Machine Learning
• Cybersecurity
• Backend Development
• Distributed Systems
• System Design
• Recommender Systems
• Cloud Computing

Python • C • SQL • HTML • CSS

FastAPI • Django • REST APIs

Pandas • NumPy • Matplotlib • Tableau • Power BI • Excel

Machine Learning • Natural Language Processing • Generative AI • AI Agents • Prompt Engineering

Ethical Hacking • Network Security • Vulnerability Assessment • Threat Detection

MySQL • PostgreSQL • MongoDB

Git • GitHub • Linux • Docker • VS Code • Jupyter Notebook

TalentShine Pvt. Ltd.

• Performed exploratory data analysis on business datasets.
• Built analytical workflows using Python.
• Cleaned and transformed large datasets.
• Generated business insights through visualization.

ExcelR Solutions

• Conducted vulnerability assessments.
• Worked on network security concepts.
• Assisted with security audits and documentation.
• Learned ethical hacking methodologies.

Developing a scalable reverse-commerce platform that connects users with recycling services while following modern software architecture and clean engineering principles.

An AI-powered cybersecurity application capable of detecting phishing URLs, emails, SMS messages, and QR codes using machine learning and rule-based analysis.

Built an NLP-powered recommendation engine that analyzes resumes, extracts technical skills, and recommends suitable career paths while identifying skill gaps.

Designed a traffic optimization system capable of monitoring vehicle density and improving traffic signal efficiency using intelligent decision-making techniques.

• Harvard CS50 – Introduction to Computer Science
• Microsoft – Natural Language Processing
• IBM – Large Language Models & Generative AI
• Cisco – Introduction to Cybersecurity
• IBM – Cloud Computing
• Goldman Sachs – Internal Audit Job Simulation
• Walmart – Advanced Software Engineering Job Simulation
• Tata – GenAI Powered Data Analytics Simulation

• Building production-ready software projects
• Learning distributed systems and cloud architecture
• Mastering system design
• Contributing to open-source software
• Exploring AI agents and recommender systems

"Great software is built through curiosity, consistency, and continuous improvement. Every project is an opportunity to learn, innovate, and create meaningful impact."

• 💼 LinkedIn - https://www.linkedin.com/in/geethika-varma/
• 📧 Email - geethikamudunuri2007@gmail.com
• 🌐 Portfolio (Coming Soon)

Thank you for visiting my profile. Feel free to explore my repositories, contribute, or connect with me to discuss software engineering, AI, cybersecurity, and technology.