Ahmed Atif

Data Scientist

https://talent.gravityer.com/ahmed-atif

Member since June 30, 2026

Key Strengths

Demonstrated interest in Reinforcement Learning (RL) and Multi-Agent Reinforcement Learning (MARL) through multiple personal projects.
Experience with Python, a core language for Data Science and Machine Learning.
Exposure to Jupyter Notebooks for data analysis and model development.
Projects like 'Transfer-Learning-in-Double-and-Dueling-DQNs' and 'Reinforement-Learning-on-Taxi-Problem' show practical application of RL concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards research-oriented and complex problem-solving, particularly in robotics and AI. This aligns with a culture that values innovation and deep technical exploration. The diversity of technologies used across projects (Python, C++, JavaScript, Verilog, TeX) suggests adaptability and a willingness to learn new tools. However, the projects are predominantly personal and academic, with no clear indication of team collaboration or industry experience, which are crucial for cultural fit in a professional setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

RL-project

July 6, 2025 – July 6, 2025

RL-project — GitHub repository

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Predator-Prey-Archetype-Gridworld-Environment

July 6, 2025 – Present

A minimalist, discrete multi-agent predator-prey archytype environment.

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Transfer-Learning-in-Double-and-Dueling-DQNs

May 16, 2025 – Present

Transfer Learning in Deep Q-Networks: A Comparative Study of DDQN and Dueling DQN Across Benchmark Environments

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MARL-Research

February 16, 2024 – March 14, 2024

MARL-Research — GitHub repository

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ROS2-Comparative-Planner-Analysis

December 21, 2023 – May 27, 2024

ROS2-Comparative-Planner-Analysis — GitHub repository

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Robotics_Capstone

November 28, 2023 – May 20, 2024

This interdisciplinary project aims to develop an autonomous delivery system inspired by the Indus- try 4.0 paradigm, with a focus on SLAM (Simultaneous Localization and Mapping), Navigation, and Voice Bot technology. The project envisions a future where society functions with minimal human intervention, enhancing operational efficiency and safety.

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infaaq

October 26, 2023 – December 17, 2023

A platform for NGO operations co-ordination.

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Reinforement-Learning-on-Taxi-Problem

May 8, 2023 – December 21, 2024

Reinforement-Learning-on-Taxi-Problem — GitHub repository

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Chrome-T-Rex-Game-Using-EMG

January 26, 2022 – January 26, 2022

Chrome-T-Rex-Game-Using-EMG — GitHub repository

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Tetris-Plus-Plus

November 15, 2021 – April 19, 2022

Tetris-Plus-Plus — GitHub repository

View Project

Key Strengths

Demonstrated interest in Reinforcement Learning (RL) and Multi-Agent Reinforcement Learning (MARL) through multiple personal projects.
Experience with Python, a core language for Data Science and Machine Learning.
Exposure to Jupyter Notebooks for data analysis and model development.
Projects like 'Transfer-Learning-in-Double-and-Dueling-DQNs' and 'Reinforement-Learning-on-Taxi-Problem' show practical application of RL concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Ahmed Atif

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit