Ashutosh Garg

Software Engineer

Bengaluru, Karnataka, India4 yrs experience

Key Highlights

Expert in building scalable cloud-native applications.
Strong foundation in algorithms and data structures.
Published author in IEEE and Springer US.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in cloud-native solutions and machine learning.

Contact

Skills

Core Skills

Cloud ComputingService MeshWeb DevelopmentIdentity ManagementFrontend DevelopmentVoice InterfaceMachine LearningSoftware Development

Other Skills

Go (Programming Language)C++JavaReact.jsAngular 11Node.jspytestPython (Programming Language)CypressAlgorithmsData StructuresAWS CDKreduxCoralGoogle web-kit speech synthesis API

About

Software engineer at Google, I work on service mesh platform team. Previously worked as a Software Development Engineer at Amazon, I worked on the identity and compliance establishment process for sellers across various marketplaces, including AWS, AmazonPay, and SellerWallet. I collaborated with a diverse and talented team to develop, test, and deploy scalable and reliable solutions that enable millions of sellers to join and grow on Amazon's platforms. I graduated from Indian Institute of Technology, Bhilai with a B.Tech (Honours) in Computer Science and Engineering, where I gained a strong foundation in algorithms, data structures, and system design. I also completed multiple internships, where I applied my skills and knowledge to real-world projects involving application development, computer networks, IoT, and reinforcement learning. I have published a demo paper on voice-activated network interface, received a bronze medal at a social entrepreneurship challenge, and earned multiple certificates from HackerRank. I am passionate about learning new technologies and solving complex problems with innovative and impactful solutions.

Experience

4 yrs

Total Experience

2 yrs 5 mos

Average Tenure

1 yr 7 mos

Current Experience

Google

Software Engineer

Nov 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Working in the Service Mesh Org in Google Cloud, where my team builds service mesh solutions for Kubernetes applications. Our work enables seamless networking, security, and telemetry integration without requiring any modifications to application code, supporting developers in creating scalable and secure cloud-native applications.

Go (Programming Language)C++Cloud ComputingService Mesh

Amazon

Software Development Engineer

Jun 2022 – Nov 2024 · 2 yrs 5 mos · Bengaluru, Karnataka, India · On-site

Worked in the Seller Registration Org, focusing on Identity (Person & Business) and Compliance Establishment processes. These efforts ensured that sellers met all requirements before being approved to sell on Amazon marketplaces worldwide, including platforms such as sell.amazon.com, AWS Marketplace, Amazon Pay, and Seller Wallet.

JavaReact.jsWeb DevelopmentIdentity Management

Arista networks

Software Engineeing Internship (WLAN)

May 2021 – Jul 2021 · 2 mos · Pune, Maharashtra, India · Remote

During internship, I had the opportunity to collaborate with the R&D team of WiFi+ on a project called VANI (Voice Activated Network Interface). VANI serves as a voice interface for the cloudVision WiFi service, allowing users to issue voice commands. It has the capability to interpret these commands and, if necessary, ask clarification questions to gather additional information. VANI then provides the desired result based on the user's input.
We have also published a demo paper: https://ieeexplore.ieee.org/document/9668549

Angular 11Node.jsFrontend DevelopmentVoice Interface

Needl.ai

Software Enginnering Intern

May 2020 – Aug 2020 · 3 mos · Bengaluru, Karnataka · Remote

During internship, I had the opportunity to work on multiple projects. Firstly, I was involved in implementing a human curation tool for machine learning model training. Secondly, I developed a financial modeling tool using Python, ensuring its reliability through the creation of integration tests and unit tests written in pytest. Thirdly, I wrote cypress tests for automated front-end testing and also contributed to the development of front-end components using React. Lastly, I successfully implemented a Crawler specifically designed for Dropbox. Throughout these projects, I gained experience working with the ELK stack and had the opportunity to interact with various AWS services.

pytestPython (Programming Language)Machine LearningSoftware Development