Manikanta Srinivasula
Machine Learning Researcher - Machine Learning Systems, Vision Pipelines, Weak Supervision
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About
I work on building stable and interpretable machine learning systems that perform well when real-world data is noisy or imperfect. My research focuses on multi-stage pipelines that separate detection, alignment, refinement, and decoding, instead of relying on black-box end-to-end models. I am interested in research problems related to accessibility, safety-critical systems, and multilingual understanding.
Education
Master of Technology in Computer Science and Engineering – Koneru Lakshmaiah Education Foundation (K L University) (2024-01 – 2026-12)
Bachelor of Technology in Computer Science and Engineering – Koneru Lakshmaiah Education Foundation (K L University) (2020-01 – 2024-12)
