Pooja S.

Software Engineer

Bengaluru, Karnataka, India4 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Strong foundation in backend development principles.
Expertise in Go, Python, and Java.
Passionate about impactful work and continual learning.

Stackforce AI infers this person is a Backend Software Engineer with a focus on Cloud and Infrastructure solutions.

Contact

Skills

Core Skills

GoAmazon Web Services (aws)Python (programming Language)Java

Other Skills

APIAlgorithmsAmazon DynamodbAmazon S3ArangoDBAutomation AnywhereBlockchainC (Programming Language)C++Cloud ComputingData StructuresDatabase Management System (DBMS)DatadogDevOpsDropwizard

About

I am an enthusiastic and motivated backend software engineer with a passion for impactful work. I have a solid foundation in backend development principles and expertise in Go, Python, and Java. Continual learning and staying updated with industry trends are crucial to me. I thrive in collaborative environments, value effective communication, and actively seek feedback. With a strong work ethic, positive mindset, and creative problem-solving skills, I am dedicated to delivering high-quality solutions.

Experience

Twilio

2 roles

Software Engineer L2

Mar 2024 – Present · 2 yrs

Software Engineer

Jul 2022 – Mar 2024 · 1 yr 8 mos

TerraformAmazon S3Amazon Web Services (AWS)GoREST APIsDatadog+6

Tata consultancy services

Intern

Feb 2022 – May 2022 · 3 mos

Python (Programming Language)ArangoDB

Twilio inc.

Software Engineer Intern

Jun 2021 – Jul 2021 · 1 mo

JavaGitHubGitDropwizardAPI

National institute of technology, tiruchirappalli

Research And Development Intern

May 2021 – Jul 2021 · 2 mos

Enhancement of Oyente Tool by detecting vulnerabilities in Ethereum smart contracts by converting it to operation codes and byte code.The internship was conducted under the guidance of Dr. Kunwar Singh,Assistant Professor Department of Computer Science, NIT Trichy.

Hewlett packard enterprise

HPE CTY Project Intern

Mar 2021 – Jul 2021 · 4 mos

Built an open source Monitoring and Observability stack on kubernetes covering Monitoring, Altering/Visualisation,Log aggregation/Analytics and distributed systems tracing information which collectively make up Observability

Samsung india

Samsung Research And Development Intern

Oct 2020 – Mar 2021 · 5 mos

>Depth image analysis to identify different human joints and their posture.
> Skeleton detection by using deep learning techniques.
> Development of an ML model which will classify human posture to different workout types based on skeleton detection.
> When incorrect posture is detected, a solution will provide coaching info in terms of Video or warning message.
> Recieved the certificate of excellence, Amazon gift voucher and multiple goodies on successful completion of the project.