I am a Computer Science Engineer and i like to develope intelligent models for given problems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Auriss Technologies
Software Engineer
June 16, 2026 – Present
Pickle_compatible
November 13, 2018 – November 13, 2018
For resolving the issue of pickle in different version of python
View ProjectRNN-attention-network
October 15, 2018 – October 23, 2018
Here a simple implementation of RNN + attention neural network on IMDB movie reviews.
View ProjectLearned_codes
September 7, 2018 – September 20, 2018
machine learning codes learned by online program
View ProjectRED-machine-translation
August 24, 2018 – August 27, 2018
Recursive Encoder Decoder for machine learning
View ProjectWheat-quality-detector-2
February 12, 2018 – April 3, 2022
Wheat classification based on the provided dataset
View ProjectRecursive-Autoencoder
January 4, 2018 – September 17, 2018
Consist of Recursive Autoencoder for phrase and sentence vector generation using word vectors and dependency tree
View ProjectGRU_implementation
December 17, 2017 – December 22, 2017
Gated Recurrent Unit implementation from scratch
View ProjectK-mean-pp_clustering
December 13, 2017 – December 14, 2017
K-mean-pp_clustering — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in Python and Machine Learning/Deep Learning, indicating a strong interest in this specific domain. While this shows focus, it also suggests a narrow breadth of technologies and project types, which might limit adaptability to diverse software engineering roles outside of ML/DL. The single current work experience as a Software Engineer aligns with the target role, but the lack of detail on responsibilities makes it difficult to fully assess cultural fit beyond a general technical interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.