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lakshminarasimmanv/README.md

Hi 👋, I'm Lakshmi Narasimman

Entrepreneur | Machine Learning Engineer | Financial Analyst

lakshminarasimmanv

narasimman_tech

About:

Leading the forefront of machine learning innovation with a focus on computer vision, LLMs, recommender systems, and predictive analytics. Proficient in leveraging Python, TensorFlow, PyTorch to develop cutting-edge models that drive impactful solutions.

🚀 Specializing in computer vision, I architect and deploy state-of-the-art algorithms for image recognition, object detection, and segmentation. My expertise extends to LLMs, where I harness the power of language models like GPT, BERT to unlock insights from unstructured data.

🔍 With a deep understanding of recommender systems and predictive analytics, I design personalized experiences and forecast trends to drive business growth. Experienced in MLOps tools such as MLflow, Kubeflow, Nvidia TensorRT, I ensure seamless integration and optimization of machine learning workflows.

💡 Committed to pushing the boundaries of what's possible in machine learning, I am dedicated to driving transformative advancements that shape the future of AI. Let's collaborate on building the next generation of intelligent systems.

Follow me on:

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  1. AlgorithmsInGo Public

    This GitHub repository contains algorithms written in Go. The algorithms cover a wide range of topics, including sorting, searching, and graph algorithms.

    Go 12 3

  2. GoMicroservice Public

    A microservice using Go to manage books.

    Go 1

  3. go-rpc Public

    Go

  4. go-todo Public

    A simple todo app built using Go.

    Go 2

  5. narasimman-tech Public

    Resources, Code Snippets, and Code Examples for the articles on Narasimman Tech and Medium.

    Go 23 1

  6. GoDB Public

    MongoDB replica written in Go and Accessible using CRUD API.

    Go 1

14 contributions in the last year

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Loading A graph representing lakshminarasimmanv's contributions from February 25, 2024 to March 01, 2025. The contributions are 75% commits, 25% pull requests, 0% issues, 0% code review.

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March 1, 2025

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