hrithiksagar

Data Scientist

https://talent.gravityer.com/hrithiksagar

IIIT Hyderabad | Open source developer. |

International Institute of Information Technology

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects and course participation (Stanford CS336, NYU ML Lecture Notes).
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Proactive in self-learning and curating resources related to AI/ML.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards self-learning and exploration in AI/ML, which could be a positive cultural fit for a research-oriented or innovative environment. However, the projects are predominantly personal and academic, with limited evidence of collaborative or production-level work. The single listed professional experience is current but lacks details, making it difficult to fully assess cultural fit in a corporate setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completed assessment for these areas.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Stanford_CS336_LM_from_scratch_sourse

December 10, 2024 – December 14, 2024

Practicing the assignments from Stanfords LM from scratch course. Link: https://stanford-cs336.github.io/spring2024/

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SimplyPy

October 21, 2024 – October 24, 2024

SimplyPy — GitHub repository

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Engineering4AIML_Resources

October 7, 2024 – Present

This collection includes notes related to machine learning, personally curated articles from industry experts, articles shared by industry professionals, research papers, and books.

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Coding-a-VLM-model-from-scratch

August 15, 2024 – August 8, 2025

Coding-a-VLM-model-from-scratch — GitHub repository

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Removing-flash_attn-dependency-for-mac

July 31, 2024 – July 31, 2024

Removing-flash_attn-dependency-for-mac — GitHub repository

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PhD-fellowship-grants-and-Scholarships

April 26, 2024 – April 26, 2024

PhD-fellowship-grants-and-Scholarships — GitHub repository

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Apple-mac-metal-GPU-

April 8, 2024 – July 31, 2024

Apple-mac-metal-GPU- — GitHub repository

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Robotics-Navigation-and-Planning--RSAI-IIITH--Assignment-3

March 19, 2024 – April 22, 2024

Robotics-Navigation-and-Planning--RSAI-IIITH--Assignment-3 — GitHub repository

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NYU-ML-Lecture-Notes

February 5, 2024 – February 5, 2024

NYU-ML-Lecture-Notes — GitHub repository

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JTC-Online-Java-Classes

July 19, 2021 – July 24, 2021

This repo contains all the notes of Java classes that are being taught by JTC http://jtcindia.org/

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Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects and course participation (Stanford CS336, NYU ML Lecture Notes).
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Proactive in self-learning and curating resources related to AI/ML.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completed assessment for these areas.

hrithiksagar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit