Arun

Data Scientist

https://talent.gravityer.com/arun-19

IndiaMember since June 18, 2026

Key Strengths

Demonstrated interest and practical experience in Deep Learning and AI concepts through personal projects (e.g., miniai, stable_diffusion, nano_deep_learning_dev_pipeline, variational_autoencoder).
Proficiency in Python, Jupyter Notebook, and related libraries for AI/ML development.
Experience with generative models and reinforcement learning (MCTS, tabular_qlearning).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal exploration and learning in AI/ML, which aligns with a culture of continuous improvement and innovation. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural fit. The projects are diverse within the AI/ML domain, but there's no explicit mention of contributions to open source or community involvement.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

firescroll

March 23, 2026 – Present

🔥 Type any topic. AI researches, writes, and renders addictive short-form videos with ultra-realistic voices and custom music. The scroll that actually teaches you something.

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beifong

April 30, 2025 – June 13, 2025

🦉 Your Junk-Free, Personalized Information and Podcasts.

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notebook_extractor

March 27, 2025 – April 26, 2025

Extract text content from Jupyter notebooks and download as a text file

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mcts

July 28, 2024 – July 29, 2024

Monte Carlo Tree Search (Applied to Tic-Tac-Toe Game)

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stable_diffusion

October 4, 2023 – January 24, 2024

This is a lightweight reimplementation of the original Stable Diffusion paper on Fashion MNIST dataset.

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variational_autoencoder

September 17, 2023 – January 24, 2024

Recreating the auto-encoding variational bayes paper, on Fashion MNIST dataset on a local machine.

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nano_deep_learning_dev_pipeline

September 12, 2023 – September 22, 2023

A lightweight workflow for a deep learning project, covering development to production deployment. The example model used here is a CNN MNIST classifier. The model is hosted on Hugging Face space, just a guide for a quick and hacky prototype workflow.

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miniai

June 8, 2023 – January 24, 2024

Deep Learning Generative Models (with mini PyTorch implementation). This is a reimplementation of a coursework from fastai.

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tabular_qlearning

April 22, 2023 – January 27, 2024

Tabular Q-Learning from scratch.

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test2

September 12, 2019 – January 3, 2022

name

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Key Strengths

Demonstrated interest and practical experience in Deep Learning and AI concepts through personal projects (e.g., miniai, stable_diffusion, nano_deep_learning_dev_pipeline, variational_autoencoder).
Proficiency in Python, Jupyter Notebook, and related libraries for AI/ML development.
Experience with generative models and reinforcement learning (MCTS, tabular_qlearning).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.

Arun

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit