Abhay Gupta

Senior Software Engineer

Bengaluru, Karnataka, India8 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Led initiatives for training and deploying ML models at scale.
Contributed to $400M cost savings by optimizing ML workflows.
Winner of company Hackathon and pursuing a patent.

Stackforce AI infers this person is a Machine Learning Engineer with strong DevOps capabilities in the SaaS industry.

Contact

Skills

Core Skills

Machine LearningMlopsFeature EngineeringBig DataDevops

Other Skills

PythonPySparkBigQueryBigtableSeldonGunicornMegha CacheRedisDataflowCloud StorageGitCI/CDAutomationShell ScriptingTerraform

About

MLE || Statistics || Classical ML Models || PySpark || Python || Big Data || Feature Engineering || Feature Materialisation || BQ || BigTable || Cache (Redis and Megha Cache) || Kubernetes || Seldon || Docker || Airflow || Git || Monitoring || Logging || Infrastructure as a code || Microservices || Event driven architecture || Kafka || Cloud || DevOps Winner of recent Hackathon held in the company, in process of having a patent in MemCache as feature Store for IPR. Train and Deploy ML Models

Experience

8 yrs 1 mo

Total Experience

2 yrs 8 mos

Average Tenure

4 yrs 8 mos

Current Experience

Walmart global tech

2 roles

Senior Software Engineer

Promoted

Nov 2023 – Present · 2 yrs 6 mos

Led MLE initiatives for training , developing and deploying machine learning models at scale.
Successfully deployed XGBoost model using Seldon and Gunicorn, ensuring low-latency
and scalable inferencing.
Designed and implemented Feature Materialization strategies using Megha Cache , Redis
and Bigtable as a feature store.
Built real-time data pipelines using PySpark, BigQuery, and Bigtable for model serving and
monitoring.
Managed streaming and batch data pipelines using Dataflow and integrated with BigQuery
and Cloud Storage.
Contributed to $400M cost savings by optimizing ML workflows and infrastructure.
Improved system reliability and observability with custom dashboards, alerts, and SLAs.
Developed a Solution with Google team for Bigtable for Key Visualizer.
Created a Smart Eligibility Solution using Python , PySpark , Milvus DB , Walmart LLM
Models

Machine LearningMLOpsFeature EngineeringPythonPySparkBigQuery+7

Software Engineer-lll

Sep 2021 – Nov 2023 · 2 yrs 2 mos

Spearheaded automation and cost optimization efforts across multiple environments.
Reduced overall CPC product infra cost by 30% (~$1M).
Implemented one-click deployments, Trunk-Based Development, and Canary
deployments.
Led CI/CD pipeline creation using WCNP, Looper, Concord, and Atlas.
Developed release automation in Python.
Established service observability with GS dashboards, SLAs/SLOs, and alerting.

DevOpsGitPythonCI/CDAutomation

Varian

SWE-II(DevOps)

Feb 2021 – Sep 2021 · 7 mos · Pune, Maharashtra, India

Worked as a Senior DevOps Engineer in Data Analyst Platform.
As a part of team I was involved in Design ,development architecture and DevOps methodology implementation.
I have created many automation to ease the product development and deployment.

Shell ScriptingTerraform

Ibm

DevOps Engineer

Apr 2018 – Feb 2021 · 2 yrs 10 mos · Pune Area, India

Worked as an end to end full Stack Application developer.
As a part of team I was involved in designing , development and deployment of event driven architecture based digital generation platform
The front end application was built using NodeJs and ReactJS.
The product was developed by IBM Research team , Digital Integration Platform

DevOpsSpring BootNodeJsReactJS