Help & Supportcareers@gravityer.com
Deep Learning @NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
sampleQAT
July 6, 2020 – January 27, 2023
Inference of quantization aware trained networks using TensorRT
View ProjectTensorRT
March 11, 2020 – Present
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
View ProjectSTT
December 25, 2018 – November 21, 2019
A multi-task model which does image captioning, sentence paraphrasing and cross-modal retrieval.
View Projectrl_research
December 7, 2018 – December 30, 2018
Reinforcement Learning Algorithms and Research
View ProjectCMR
September 3, 2018 – December 24, 2018
My implementation of Cross Modal Retrieval models from CVPR'18 and ECCV'18
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on individual research and development in advanced ML/DL topics. While this demonstrates strong technical initiative, there is no information regarding team collaboration, open-source contributions, or engagement with broader technical communities. The projects are diverse within the ML/DL domain, but lack breadth in other areas that might indicate adaptability to varied team needs. The target role is 'Data Scientist', and the projects align well with the technical aspects of this role, particularly in research-oriented or advanced model development contexts.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical project work without details on collaboration, problem-solving approaches, or communication styles.