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Akshat Agarwal

AI Researcher

Delhi, India5 yrs 10 mos experience
Highly Stable

Key Highlights

  • Expertise in Natural Language Processing and Deep Learning.
  • Proven track record in data analysis and project development.
  • Strong foundation in Python and data science methodologies.
Stackforce AI infers this person is a Data Science and AI Research professional with a focus on Natural Language Processing.

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Skills

Core Skills

Natural Language Processing (nlp)Deep LearningData ScienceData Analytics

Other Skills

Docker ProductsKerasMachine LearningMatplotlibNumPyPython (Programming Language)Seabornpandas

Experience

5 yrs 10 mos
Total Experience
2 yrs 6 mos
Average Tenure
10 mos
Current Experience

Jus mundi

Senior AI Engineer

Jul 2025Present · 10 mos · Paris, Île-de-France, France · On-site

Jivi ai

AI Applied Researcher

Dec 2024Jul 2025 · 7 mos · Gurugram, Haryana, India · On-site

Neuralspace

4 roles

Senior Machine Learning Engineer

Promoted

Apr 2024Jan 2025 · 9 mos

Applied Research Scientist

Jun 2021Apr 2024 · 2 yrs 10 mos

  • NeuralSpace is a platform to build Natural Language Processing (NLP) solutions in a no-code web interface and through simple APIs. We offer 100+ languages spoken in India, the Middle East and Africa, such as 7 Arabic dialects and 11 Indian languages.

Applied Research Scientist Intern

Dec 2020May 2021 · 5 mos

NLP Research Intern

May 2020Nov 2020 · 6 mos

  • Research Topic: End to End Binarized Neural Networks for Text Classification
  • Short Paper accepted at the SustaiNLP Workshop on Simple and Efficient Natural Language Processing @ EMNLP 2020 to be held on 11th November'20 at Punta Cana, Dominican Republic
  • Trained end to end binarized networks on 4 intent classification datasets - AskUbuntu, Chatbot, WebApplication, and 20NewsGroups.
  • Made use of binarized hyper-dimensional vectors for embeddings and showed that they were memory efficient and also achieved state of art results when compared to traditional embeddings (GloVe and Word2vec).
  • Showed that binarized networks were time efficient and reduced memory footprint compared to non binarized counterparts.

Swasth

NLP Intern

Sep 2020Nov 2020 · 2 mos · San Francisco Bay Area

Chrome data analytics and media

Data Science Intern

Jun 2019Jul 2019 · 1 mo · Noida, Uttar Pradesh, India

  • Developed a syndicated study project on Automobiles by collecting data from various newspapers and leading Automobile Magazines. Used python libraries like Numpy, Pandas & Matplotlib for analyzing and presenting the data.

Indraprastha power generation company ltd (ipgcl)

Summer Trainee

Dec 2018Jan 2019 · 1 mo · Greater Delhi Area

Data ScienceData AnalyticsPython (Programming Language)NumPypandasMatplotlib

Education

Delhi Technological University (Formerly DCE)

Bachelor of Technology — Electrical Engineering

Jan 2017Jan 2021

Sardar Patel Vidyalaya

Computer Science

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