VIKRAM MARKALI

🚀 MS in Computer Science @ NYU | Software Engineer | Full Stack Developer

           

Hi, I'm Vikram Markali - a passionate Software Engineer and Full Stack Developer currently pursuing my Master of Science (MS) in Computer Science at New York University (NYU).

I worked as a Software Engineer at Worldline, where I focused on building microservices architecture, RESTful APIs, and payment processing systems, achieving 99.9% uptime for payment gateway integrations.

My technical skills include Java, Python, JavaScript, Spring Boot, React, Angular, SQL, and Cloud Computing. In my free time, I enjoy solving algorithmic challenges, reading the latest tech articles, and exploring Machine Learning and AI innovations.

I am always open to collaborating on exciting projects and contributing to the open-source community!

Master of Science in Computer Science  |  Sep 2025 – May 2027  |  GPA: 3.7

• Coursework: Artificial Intelligence, Data Structures & Algorithms, Big Data, Machine Learning, Database Systems, Software Engineering

Bachelor of Engineering in Information Technology  |  Aug 2021 – Jun 2024  |  GPA: 3.82

• Coursework: Data Structures, Algorithms, Object-Oriented Programming, Operating Systems, DBMS, Networks

    Tech Stack: Python TensorFlow PyTorch FastAPI Firebase

• Built real-time anomaly detection for NASA spacecraft telemetry to identify unusual patterns indicating failures and critical system issues.
• Optimized model inference with Redis caching, reducing latency by 40%.
• Leveraged NASA's telemetry project to integrate custom anomaly detection algorithms.
• 🔗 GitHub Repository

    Tech Stack: React Spring Boot AWS JWT/OAuth Redis

• Developed a course bidding platform with bidding credits, status tracking, and enrollment features supporting 1,500+ enrolled students.
• Implemented RBAC and data-partitioning logic to enforce access policies and track bidding transactions.
• Achieved sub-300ms latency on Redis-backed sessions enhancing user performance under peak load.
• Automated AWS CI/CD pipelines reducing deployment time; integrated role-based access control and audit trails.
• Implemented real-time bidding notifications using WebSockets, improving user engagement by 45% during bidding windows.
• 🔗 GitHub Repository

    Tech Stack: React Redis SQLite APScheduler Firebase GTFS-RT Docker

• Integrated MTA GTFS-RT feeds for real-time transit information with intelligent caching and scheduled data updates.
• Secured endpoints with Firebase authentication; containerized services using Docker for consistent deployment.
• Developed trip delay prediction model using historical MTA data, achieving RMSE under 2 minutes for delay forecasts.
• Built responsive real-time dashboard for NYC subway, bus, and train tracking with live arrival predictions.
• 🔗 GitHub Repository