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Software Engineer passionate about building scalable, high-performance applications. I recently graduated with my MS in Computer Science from George Washington University, bringing hands-on experience in both frontend and backend development across startups and global enterprises. I specialize in building user-centric applications, with work spanning responsive dashboard revamps, secure authentication systems, database optimization, and automated data processing.

const anirban = {
    location: "Washington, DC",
    education: "MS Computer Science @ GWU",
    currentlyLearning: ["Scalable Architectures", "Cloud Native Applications"],
    askMeAbout: ["React", "Node.js", "AWS", "System Design", "Full-Stack Development"]
};

Through internships at Nextqore Inc. and Cardinal Integrated Technologies, I collaborated directly with designers and engineers to improve UI/UX consistency, reduce bugs, and streamline API integrations in React applications. My earlier role at HSBC Technology involved implementing automation tools and analytics dashboards that enhanced team efficiency and supported agile delivery.

On the research front, I worked under Professor Timothy Wood on LLM-powered indoor navigation and developed end-to-end projects including an LLM chatbot for audio/video transcripts and a sign language assistant integrating AI with Google Assistant.

Current Focus:

• Building scalable web applications with modern frameworks
• Exploring AI/ML integration in practical applications
• Contributing to open-source projects
• Learning advanced system design patterns

The George Washington University | MS Computer Science
Aug 2023 - May 2025 | GPA: 3.84/4.0
Coursework: Software Engineering, Cloud Computing, Object-Oriented Programming

Kalinga Institute of Industrial Technology | B.Tech Computer Science
Jul 2018 - May 2022 | GPA: 9.06/10.0
Coursework: Data Structures, Operating Systems, Computer Networks

Research Issues and Challenges in AI-Embedded 6G Network Architecture
📄 PDF · 🔗 IEEE Xplore

Achieving Sustainable Development Goals (SDGs) by Leveraging 6G Services
📄 PDF · 🔗 IEEE Xplore

Advanced Heart Attack Risk Prediction Using Stacked Hybrid Machine Learning
📄 PDF · 🔗 IEEE Xplore

"Building software that scales, performs, and makes a difference – one commit at a time."