Akanksha Gupta — Senior Software Engineer
I am a Software Engineer, working as part of the ML@Scale universe of Google Cloud. As an infra SWE, I worked on new initiative Multislice that introduces horizontal scaling in Cloud TPUs for improving performance of large Machine Learning models. In my day-to-day work, I carve solutions to scale the ML models across TPU chips. I pursued Masters in Computer Science at Northeastern University, with a key interest in Software Design and Algorithms. I worked on various academic projects in the field of Computer Vision (Image transformations), Machine Learning (Generative Adversarial Networks and Autoencoders) and Natural Language Processing (localizing key steps in instructional videos by using Neural Networks and Natural Language models). Previously, I interned at Microsoft Whiteboard where my project enhanced telemetry and monitoring for mapping request failures with user authentication schemes and device types. During my stint as an intern at Amazon Alexa, I worked on building an end-to-end pipeline for data gathering, setting up the Java repository within AWS to start an Elasticsearch service inside a VPC, allowing HTTP access via Nginx, Cognito and Federate authentication, and displaying data on a Kibana dashboard for the internal teams to analyze common failures and their root causes to be able to guide the managed partners in a better way. Prior to that, I worked with Futures team at the D.E. Shaw Group as a Senior Software Engineer, where most of my work was related to generating algorithms and building software to facilitate trading at the firm. Specifically, my work involved enhancing simulation software, creating data pipelines, building the test framework for opening and closing the trading day, generating portfolio management user interface, to name a few projects.
Stackforce AI infers this person is a Fintech Software Engineer with expertise in Machine Learning and Cloud Infrastructure.
Location: Kirkland, Washington, United States
Experience: 7 yrs 3 mos
Skills
- Machine Learning
- Cloud Infrastructure
- Software Development
- Telemetry
- Data Visualization
- Computer Vision
- Algorithm Development
- Software Engineering
- Software Testing
- Data Analysis
- Data Engineering
- Data Management
Career Highlights
- Expert in Machine Learning and Cloud Infrastructure.
- Proven track record in developing real-time applications.
- Strong background in data management and algorithm development.
Work Experience
Senior Software Engineer (3 yrs 2 mos)
Northeastern University
Graduate Teaching Assistant (5 mos)
Graduate Research Student (5 mos)
Microsoft
Software Engineer Intern (2 mos)
Amazon
Software Engineer Intern (3 mos)
Northeastern University
Graduate Researcher at MCADS Lab (3 mos)
Undergraduate Teaching Assistant (2 mos)
Graduate Teaching Assistant (3 mos)
D. E. Shaw India Private Limited
Senior Member Technical (1 yr 11 mos)
Member Technical (2 yrs 5 mos)
Intern (5 mos)
Education
MS at Northeastern University
Bachelor of Engineering - BE at Thapar Institute of Engineering & Technology