Shriram Vasudevan
Data ScientistTech Evangelist
Intel India
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Tech Evangelist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Intel India
Data Scientist
June 16, 2026 – Present
TheAIAgents
March 29, 2026 – Present
Here you can get the complete guidelines helping you build AI agents! All from scratch!
View ProjectHuggingFace_Samples_Demo
September 25, 2024 – April 10, 2025
Here are the samples for the Hugging Face presented
View Project15-Essential-Deep-Learning-Projects-with-OneAPI
June 1, 2023 – Present
15-Essential-Deep-Learning-Projects-with-OneAPI — GitHub repository
View ProjectIntel-DevCloud-vs-Google-Colab-Which-is-Faster-for-Machine-Learning-
April 28, 2023 – May 21, 2023
This repository contains code for training a convolutional neural network on the Chest X-Ray dataset to classify images as normal or pneumonia. The same code was run on two different platforms: Intel DevCloud and Google Colab. The runtime of the first two epochs was recorded on both platforms, and the results are presented below.
View ProjectBinaryImageClassificationwithoneDNN
March 21, 2023 – April 19, 2023
Binary Image Classification with oneAPI - oneDNN
View ProjectCROP_PREDICTION_oneAPI
February 13, 2023 – February 20, 2023
CROP_PREDICTION_oneAPI — GitHub repository
View ProjectMachineLearningwithoneAPI
November 29, 2022 – April 16, 2024
The codes for the book ML with oneAPI is all found here.
View ProjectLinuxSystemProgramming
July 9, 2021 – July 9, 2021
Here you go, the complete codes you need for the Linux System Programming Learning
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal, self-directed learning and exploration in the AI/ML domain. This indicates a strong passion for the field and a proactive approach to skill development. The alignment with the 'Data Scientist' target role is clear through the project topics. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaborative cultural fit. The projects are diverse within the AI/ML space, covering deep learning, image classification, and system programming, suggesting a broad technical curiosity.
Soft Skills & Operational Fit
The candidate's numerous personal projects suggest strong initiative and a proactive approach to learning and applying new technologies. The descriptions, while brief, indicate a focus on practical implementation. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.