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Nitinkr18/README.md
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Nitin Krishna

AI Engineering Undergraduate · Systems & Backend Engineering · Applied Machine Learning


Profile

I am an AI Engineering undergraduate at Amrita Vishwa Vidyapeetham with a strong interest in building reliable, performance-oriented systems.
My work lies at the intersection of software engineering, data infrastructure, and machine learning, with an emphasis on real-world deployment constraints.

I am particularly interested in problems that involve low-latency systems, data pipelines, and intelligent automation.


Technical Skills

Programming Languages

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Frameworks and Libraries

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Tools and Platforms

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Research Interests

  • Distributed systems and event-driven architectures
  • Change Data Capture (CDC) and data synchronization pipelines
  • Low-latency AI systems and real-time inference
  • Retrieval-Augmented Generation (RAG) and knowledge-grounded models
  • Graph-based learning and representation systems
  • Embedded and TinyML systems for edge intelligence

Background

  • AI Engineer, Sun Info Media — working on low-latency voice AI agents and telephony-LLM pipelines
  • Core member, Amrita AIoT Club — TinyML systems and embedded AI workflows
  • B.Tech in Computer Science (Artificial Intelligence), Amrita Vishwa Vidyapeetham

Contact

Popular repositories Loading

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    Project on text editor coded in python using tkinter.

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    Cat & Dog Recognition Application using Tflite and Flutter. The Tflite is trained using Teachable machine (google's machine learning tool) This App can be integrated with Android and IOS as well.

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  4. Cat-Dog_Recognition-Docker-GCP_hosted Cat-Dog_Recognition-Docker-GCP_hosted Public

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  6. MT-CN-DAA-Vibrations MT-CN-DAA-Vibrations Public

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