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NiteshMethani/README.md

Nitesh Methani 👋

Hello, my name is Nitesh.

Currently I am working as an Applied Scientist-II at Amazon where me and my team leverage LLMs and GenAI to improve the last mile delivery experience for our customers.

I am currently working on core Geospatial use cases like Address Standardization and Validation, Parsing and Matching.

In June 2020, I graduated from IIT, Madras specialising in Deep Learning and VQA models.

I have published papers in top-tier ML conferences like WACV, AAAI, Sigspatial as well as AMLC (Amazon's internal conference).

Currently, I am focusing in the area of NLP and multi-modal models like CLIP and ViLBERT to generate business value.

🔗 Connect with me

Personal Website Twitter LinkedIn

⚡Technologies

Here are few of my favorite technologies that I have hands-on experience with.

🤖 Machine Learning
Huggingface Transformers, Datasets, Pytorch, Pandas, Numpy

☁️ Cloud
AWS, AWS CDK, Github Actions, Serverless Framework

🏗️ Other Frameworks
Flutter, Firebase

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    Dataset introduced in PlotQA: Reasoning over Scientific Plots

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  2. Deep-Learning-CS7015 Deep-Learning-CS7015 Public

    This repository contains all my theroy reports, written assignments and programming code that I wrote/referrd for the DL course at IIT,Madras taught my advisor Prof.Mitesh Khapra.

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  3. Probabilistic-Graphical-Models Probabilistic-Graphical-Models Public

    This repository contains all the assignments and codes that I wrote for the course CS6730 at IIT, Madras.

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    This repository contains all the basic classifiers that I learnt during my course on PR. All the code is in python.

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  5. bertology bertology Public

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