Computer Science Student at PES University.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Akamai Technologies
Data Scientist
June 25, 2026 – Present
gpt.c
April 15, 2024 – April 18, 2025
Minimal GPT training and inference in C and CUDA that's just as fast as PyTorch
View ProjectMultiview-3D-Reconstruction
April 30, 2022 – May 1, 2022
Using traditional image processing techniques to construct 3D point cloud of objects. Incremental Structure from Motion (SfM) is used, a popular SfM algorithm for 3D reconstruction for reconstruction. The method is then evaluated using certain 3D reconstruction datasets.
View ProjectdockerNN
April 17, 2022 – May 2, 2022
Deep Learning Framework as a set of Microservices using Docker Containers
View ProjectRegNetX
February 8, 2022 – March 1, 2022
Pytorch implementation of "Designing Network Design Spaces" (CVPR 2020)
View ProjectGPT
January 12, 2022 – January 12, 2022
A minimal and efficient Pytorch implementation of OpenAI's GPT (Generative Pretrained Transformer).
View ProjectGEMM
June 6, 2021 – June 6, 2021
Fast Matrix Multiplication Implementation in C programming language. This matrix multiplication algorithm is similar to what Numpy uses to compute dot products.
View Projectcifar10-pytorch
May 20, 2021 – May 20, 2021
PyTorch Tutorial to train ConvNets for Image Classification.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and highly technical, focusing on deep learning and low-level implementations. While this demonstrates strong individual drive and technical depth, there is limited evidence of team-based projects or contributions to larger open-source initiatives, which could indicate a need to assess collaboration and integration into a team-oriented culture. The current role as 'Data Scientist' at Akamai Technologies aligns with the target role, but the start date is in the future, making it difficult to assess actual professional experience in a corporate setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available, and project descriptions do not provide insight into collaboration or communication styles.