Yashas K S

Software Engineer

Shimoga, Karnataka, India3 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Experienced in Deep Learning and Computer Vision projects.
Proficient in Python and High Performance Computing.
Certified in Azure and Oracle Cloud technologies.

Stackforce AI infers this person is a skilled Software Engineer with expertise in Cloud Computing and Machine Learning.

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Skills

Core Skills

High Performance Computing (hpc)PythonDeep LearningComputer Vision

Other Skills

Python (Programming Language)JenkinsFirmware Test Framework (FTF)OpenCVGenerative Adversarial Networks (GANs)AWSDjangoDevOpsDockerJavaJDBCMicrosoft AzureOracle CloudData ScienceC

About

SKILLS :- AWS, Django, Machine Learning, Deep Learning, DevOps, Docker, Java, JDBC Microsoft Azure, Oracle Cloud Data Science Python, C, C++ SQL 🔗 GitHub:- https://github.com/Yashasks 🔗 Bitbucket :- https://bitbucket.org/yashasraoks/ 🔗 Hackerrank:- https://www.hackerrank.com/yashasraoks 🔗 Hackerearth:- https://www.hackerearth.com/@yashas46

Experience

3 yrs 5 mos

Total Experience

3 yrs 5 mos

Average Tenure

3 yrs 5 mos

Current Experience

Hewlett packard enterprise

2 roles

Software Engineer

Aug 2023 – Present · 2 yrs 10 mos · Bengaluru, Karnataka, India

Research And Development Intern

Jan 2023 – Aug 2023 · 7 mos · Bengaluru, Karnataka, India

Working under HPC IST team for a project called Log Analyzer framework
Building Log Analyzer to automate the log analysis part, it can analyze OS, RMC and CAE log event errors and returns back to the tester
It helps test engineer by automating the process of log analysis, test engineer can concentrate on more important task
Used Firmware Test Framework(FTF) using Python to analyze the logs generated during testcase execution
Current implementation of the framework works fine for ApachHawk and CooperHawk machine
Tools used :- Python, Firmware Test Framework (FTF), Jenkins.

High Performance Computing (HPC)Python (Programming Language)JenkinsPython

Yokogawa

Software Engineer

Jul 2022 – Oct 2022 · 3 mos · Bengaluru, Karnataka, India · Remote

Worked on a project to detect Anomaly/cracks present in Microchip Images.
Implemented Deep Learning based solution (GANs, Transfer Learning) to detect defective chips.
Worked on some image enhancement techniques using OpenCV
Tried various preprocessing techniques like K-Means clustering, Edge Detection and various filtering techniques to improve quality of image.

Deep LearningComputer VisionOpenCV