I'm a Computer Science student at Virginia Tech with a passion for Machine Learning, Artificial Intelligence, and Full Stack Development. My expertise includes fine-tuning AI models, developing efficient algorithms, and integrating NLP-based solutions into practical applications.
- Machine Learning & AI: TensorFlow, Scikit-learn, Azure OpenAI, Google AI Studio
- Full Stack Development: React.js, Flask, Python, JavaScript
- Cloud & DevOps: Microsoft Azure, Google Cloud Platform, AWS, Docker
- Programming Languages: Python, Java, C++, JavaScript, HTML/CSS
- Embedded Systems and AI Integration Lead at Virginia Tech Engineering Education
- AI/ML Research Assistant conducting sentiment analysis research
- Published Research on computational constructs for shortest path algorithms
- Microsoft Certified Azure AI Engineer Associate and AI Fundamentals
AI-powered recruitment tool leveraging Gemini API for comprehensive candidate evaluation beyond traditional ATS filtering.
Class scheduling tool using university APIs and AI to generate conflict-free, preference-based timetables.
AI workflow automation platform with modular RBAC system and NLP-powered rule engine.
Virginia Tech - Bachelor of Science in Computer Science (GPA: 3.54/4.0)
- Expected Graduation: Spring 2028
- Related Coursework: Data Structures, Algorithms, Statistics, Machine Learning
- Microsoft Certified: Azure AI Engineer Associate (2025)
- Microsoft Certified: Azure AI Fundamentals (2024)
- Career Essentials in GitHub Professional Certificate (2024)
- Building & Deploying Deep Learning Applications with TensorFlow (2024)
- Email: anjanbellamkonda@vt.edu
- LinkedIn: anjan-bellamkonda
- GitHub: AnjanB3012
- Resume: View Resume
AbsInf: A Lightweight Object to Represent float('inf') in Dijkstra's Algorithm
- Published on arXiv (2025)
- Achieved up to 19% performance improvement over traditional representations
- Read Paper
This portfolio showcases my journey in AI/ML development and software engineering. Feel free to connect if you're interested in collaborating on innovative projects!
This portfolio is built with:
- Frontend: React.js, TypeScript, Tailwind CSS
- Build Tool: Vite
- Deployment: GitHub Pages
- Analytics: Google Analytics
This project is open source and available under the MIT License.