Armaan Khetarpaul

Data Scientist

https://talent.gravityer.com/armaan-khetarpaul

Teaching AI to understand humor, starting with my code.

Indian Institute of Science

Key Strengths

Extensive personal project experience in Python, particularly in Machine Learning and AI domains.
Demonstrated interest in various AI subfields including diffusion models, neural networks, and large language models.
Experience with PyTorch, a key framework for deep learning.
Exposure to data analysis and visualization tools like Jupyter Notebook.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal exploration and development in AI/ML. While this demonstrates initiative, the lack of team-based or professional project descriptions makes it difficult to assess cultural fit in a collaborative corporate environment. The single listed professional experience is current and recent, providing limited historical context.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but no direct evidence of collaboration, problem-solving approach, or communication style is available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ASCII-Art-PhotoBooth

March 6, 2026 – Present

ASCII-Art-PhotoBooth — GitHub repository

View Project

tutorial-pytorch

February 20, 2026 – Present

tutorial-pytorch — GitHub repository

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DiffFace

July 25, 2025 – July 26, 2025

Diffusion Models for Synthetic Face Generation

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research-gpt

June 26, 2025 – June 27, 2025

AutoResearcher using OpenRouterAPI

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portfolio

June 25, 2025 – Present

My portfolio

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ElectionGPT-POC

June 22, 2025 – June 22, 2025

Proof of Concept for development of ElectionGPT chatbot at IBM

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NeuralSparse-PyTorch

March 17, 2025 – June 24, 2025

Implementation of NeuralSparse in PyTorch

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Sports-Analysis

October 31, 2024 – January 27, 2025

Pipeline for Soccer game analysis

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Results-on-RFW

July 23, 2024 – September 20, 2024

Results of popular SOTA FR models on RFW dataset split by genders.

View Project

Open-Day-2024

February 12, 2024 – June 6, 2024

4x4 Tic-Tac-Toe

View Project

Key Strengths

Extensive personal project experience in Python, particularly in Machine Learning and AI domains.
Demonstrated interest in various AI subfields including diffusion models, neural networks, and large language models.
Experience with PyTorch, a key framework for deep learning.
Exposure to data analysis and visualization tools like Jupyter Notebook.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Armaan Khetarpaul

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit