Divya Jyothi B.N

Software Engineer

San Francisco, California, United States6 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and AI integration.
Proven track record in backend service development.
Strong skills in Python and data engineering.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Machine Learning and Data Engineering.

Contact

divyajyothi464@gmail.com LinkedIn

Skills

Core Skills

Machine LearningAiData EngineeringPython

Other Skills

AutoMLCCassandraData ConnectorsData PreprocessingDatabasesFlaskGPU computeGoogle Cloud Platform (GCP)HadoopIntegrationJavaKubernetesMavenMicrosoft SQL Server

About

Experienced Software development Engineer II with a demonstrated history of working on big data processing, designing microservice architecture and building backend services. Strong engineering professional skilled in Python and Java

Experience

Walmart global tech

3 roles

Software Developer III

Dec 2023 – Present · 2 yrs 3 mos

Software Developer III

Promoted

Sep 2021 – Dec 2023 · 2 yrs 3 mos

Designed and implemented an end-to-end integration to support TPUs in the platform.
Delivered multi version support for Distributed rapids using GPU compute in the platform.
Designed and integrated WALTS(Walmart autoML tools and services), an AI training-as-a-service capability on the platform, reduced time to market of models through automated model designing.
Couthored a publication on the same in IEEE(https://ieeexplore.ieee.org/document/10011477)
Implemented queuing of experiments in WALTS which fastened the training time by 52%
Designed and integrated FAAS (Forecasting as a service) an unique solution which aims to automate the whole process of time-series forecasting in AutoML fashion

PythonMachine LearningAIGPU computeAutoMLIntegration

Software development Engineer II

Aug 2019 – Aug 2021 · 2 yrs

Implemented data connectors to various databases for efficient data access from python and R interfaces.
Developed user facing libraries for Hadoop Spark to connect and fetch data across various databases.
End to end design and implementation of ability to manage user secrets in the platform.

PythonRHadoopSparkData ConnectorsData Engineering