Dhrumil Virat S.

Software Engineer

Seattle, Washington, United States5 yrs 4 mos experience

Highly Stable

Key Highlights

Expertise in Rust for high-performance cloud solutions.
Over two years of software development experience at AWS.
Strong research background with a Master's in Computer Science.

Stackforce AI infers this person is a Cloud Computing Engineer with a focus on high-performance software development.

Contact

Skills

Core Skills

Rust (programming Language)

Other Skills

Microsoft OfficeResearchC++Software DevelopmentCJavaPythonAlgorithmsAlgorithm DevelopmentData StructuresDigital Signal ProcessingPHPHTMLMatlabTensorFlow

About

As a software engineer II at AWS, I work on a greenfield project at S3, the world's largest cloud storage service. I use my expertise in Rust, a fast and reliable programming language, to develop high-performance and scalable solutions for millions of customers. I also leverage my research skills and my master's degree in computer science from USC to explore new technologies and innovations in the cloud computing domain. I joined AWS in 2020 as a software engineer Intern to obtain early experience of the industry. Now, I have over two years of experience in designing, testing, and deploying software applications and systems for AWS. I am passionate about creating value for AWS and its customers by delivering quality, durability, and reliability. I enjoy collaborating with my team and other stakeholders to solve complex problems and deliver impactful results. I am always eager to learn new skills and expand my knowledge in the field of computer science.

Experience

5 yrs 4 mos

Total Experience

2 yrs

Average Tenure

1 yr 3 mos

Current Experience

Netflix

Software Engineer

Jan 2025 – Present · 1 yr 3 mos · Seattle, Washington, United States · Remote

Amazon web services (aws)

3 roles

Software Engineer II

Oct 2022 – Jan 2025 · 2 yrs 3 mos

Rust (Programming Language)

Software Engineer

Promoted

Jul 2021 – Oct 2022 · 1 yr 3 mos

Working on a greenfield project at S3, AWS

Rust (Programming Language)

Software Engineer

May 2020 – Aug 2020 · 3 mos · Greater Seattle Area

Joined the S3 team.

Usc viterbi school of engineering

Teaching Assistant

Jan 2020 – May 2020 · 4 mos · Los Angeles Metropolitan Area

Teaching Assistant for INF 510 - Principles of Programming for Data Science under the guidance of Prof. Yigal Arens
● Worked on creating course content for weekly Labs
● Organized and held labs weekly
● Tutored more than 40 students for the course

University of southern california

Infolab Researcher

Oct 2019 – May 2020 · 7 mos · Los Angeles Metropolitan Area

Worked on infusing Federated learning approaches to smart city applications.

Usc institute for creative technologies

Research Software Engineer

Sep 2019 – Dec 2019 · 3 mos · Los Angeles, California, United States

Worked for Center for Body Computing, a digital health research and innovation center
● Developed health regulation compliant apps for assistance in research studies
● Analyzed, modified and developed software code with unit testing, debugging and documentation
● Managed AWS server configuration and operations for projects

Episodiclabs

2 roles

Machine Learning Engineer

Dec 2018 – Jul 2019 · 7 mos · Ahmedabad Area, India

● Custom implementation of ML algorithms like feedforward Neural Network and decision tree for resource-constrained devices
using C++ which resulted in 20% speedup and efficient memory usage compared to previous implementations
● Led team of 4 to allocate the workload efficiently and mentored team members to enhance algorithmic skills
● Integrated the app in Android and IOS using Ionic framework with backend database in FireBase

Machine Learning Intern

Jun 2017 – Sep 2017 · 3 mos · Greater Ahmedabad Area

● Detected sound of impact when a bat hits ball after preprocessing audio by extracting Mel Frequency Cepstral Coefficients and
then detecting sound with an artificial neural network using TensorFlow with 65% accuracy
● Analyzed spectrograms and MFCC to understand role of background noise while detecting sound
● Gathered data via sources like cricket matches and dedicated recordings by coordinating with different teams