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Hi there 👋 I'm Manish

I'm a Machine Learning Scientist/Data Scientist based in New York City. I have experience in Applied Machine Learning, Computer Vision, Natural Language Processing, and Python programming.


  • 👨🏻‍💻 Building Vision & Language Models
  • 🌏 I’m looking to collaborate on some exciting research work in the AI space
  • 💬 Ask me anything about machine learning to NLP
  • 👨‍🏫 Current Teacher Assistant and Student Assistant at Katz School of Science and Health
  • 🏆 Main Author for 'SparrowVQE', a 3B parameter AI for enhanced visual question explanation in machine learning education, demonstrating an innovative approach in interactive learning and dataset design.

| Mathematics | Data Science | Machine Learning | Deep Learning | Computer Vision | Natural Language Processing | Artificial Intelligence |


🌎 Connect with me



💻 My Skill Set

Python PyCharm Jupyter Notebook Keras Matplotlib NumPy Pandas PyTorch Plotly scikit-learn SciPy TensorFlow

R RStudio LaTeX Git GitLab Postgres MySQL Neo4J MongoDB AWS Docker Power Bi Microsoft Word Microsoft PowerPoint Microsoft Excel Microsoft Office Slack

Manish kumar thota's Projects

newrepohacktoberfest2022 icon newrepohacktoberfest2022

Make your first Pull Request on Hacktoberfest 2022. Don't forget to spread love and if you like give us a ⭐️

nvm-windows icon nvm-windows

A node.js version management utility for Windows. Ironically written in Go.

openglass icon openglass

Turn any glasses into AI-powered smart glasses

phidata icon phidata

Memory, knowledge and tools for LLMs

praisonai icon praisonai

PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration. Chat with your ENTIRE Codebase.

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

quantizehfmodel icon quantizehfmodel

Accepts Hugging Face models, and automatically downloads, quantizes, and reuploads the model to an HF repo of your choice

rapidannotator-2.0 icon rapidannotator-2.0

With Red Hen Lab’s Rapid Annotator we try to enable researchers worldwide to annotate large chunks of data in a very short period of time with least effort possible and try to get started with minimal training.

reflection_tuning icon reflection_tuning

[ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning

sevila icon sevila

[NeurIPS 2023] Self-Chained Image-Language Model for Video Localization and Question Answering

tinygpt-v icon tinygpt-v

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

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