Vamsi Krishna Reddy

A Computer Science (AI-ML) graduate with experience designing, developing, and testing software systems in Python, from realtime pipelines at 30 FPS to deep learning classifiers at 95%+ accuracy. Strong foundation in object-oriented programming, data structures & algorithms, and end-to-end pipeline development with measurable results.

ML Engineering Intern at Slash Mark (2024-08 – 2024-10)

• Designed and developed an end-to-end gesture recognition system in Python using OOP principles, writing clean, modular, and testable code achieving 93%+ accuracy across 10+ gesture classes.
• Engineered a data preprocessing pipeline for 5,000+ labeled images with augmentation techniques, reducing model overfitting by ~20% and improving generalization.
• Optimized real-time inference pipeline to <100ms/frame through iterative debugging and testing; deployed and tracked changes on Linux using Bash scripting and Git version control.

Software Engineering Intern at Prasunet Company (2024-06 – 2024-07)

• Implemented a matrix factorization recommendation engine in Python (OOP), improving prediction RMSE by 18% over the baseline through iterative algorithm design.
• Cleaned and structured 10,000+ user-movie interaction records into a reusable, well-documented dataset pipeline for collaborative filtering.
• Integrated a real-time recognition module into a live demo environment and presented system capabilities to stakeholders, demonstrating strong product quality focus.

B.Tech in Computer Science & Engineering (AI-ML) – Sir Padampat Singhania University (2021-08 – 2025-09)