SWETA PATTNAIK account profile

Personal details

SWETA PATTNAIK

Work preferences

Desired roles

ML SOFTWARE ENGINEER

(Mid-level)

AUTOMATION ENGINEER ML

(Mid-level)

Additional info

Links & Resume

After working for over half a decade in Qualcomm in wifi testing and automation, now I am looking forward to work in ML / AI domain. My experience in automation will be an added advantage for working in this new field. I also believe that ML/AI will be playing a major role in wifi test automation.

Experience

Work history

Senior Engineer at ST Engineering

(October 2025 - Present)

SENIOR WLAN SYSTEMS TEST AND AUTOMATION ENGINEER at Qualcomm

(July 2017 - September 2023)

Experience of 6 years in WAN-WLAN Coex system test team. In this role, I developed test cases, procedures and validated the software mitigations in the coex RF scenarios. Developed various automation scripts and familiar with the end to end automation process of the scenarios. Executed various features independently from test case design till execution and automating them.

Education

Credentials

National University of Singapore

Master's degree in Engineering, graduated November 2025

August 2024 - November 2025

National Institute of Technology Rourkela

Bachelor's degree in Engineering, graduated May 2017

July 2013 - May 2017

Courses

DeepLearning.AI_logo

DeepLearning.AI · Course

Structuring Machine Learning Projects

Category: Machine Learning
Category: Performance Management
Category: Research and Design
Category: Organizational Development
Category: Exploratory Data Analysis

View certificate

Completed May 2024

DeepLearning.AI_logo

DeepLearning.AI · Course

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Category: Machine Learning
Category: Machine Learning Algorithms
Category: Algorithms
Category: Artificial Neural Networks
Category: Deep Learning

View certificate

Completed April 2024

DeepLearning.AI_logo

DeepLearning.AI · Course

Neural Networks and Deep Learning

Category: Artificial Neural Networks
Category: Machine Learning
Category: Machine Learning Software
Category: Mathematics
Category: Network Architecture

View certificate

Completed March 2024