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Amruthavalli PusapatiAP
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Amruthavalli Pusapati

@amruthavallipusapati

AI/ML and Data Engineer with 10+ years building production AI systems and scalable data platforms.

United States
Message

What I'm looking for

I’m looking for a role where I can build production-grade AI and scalable data platforms—shipping through CI/CD, designing reliable GCP pipelines, and owning model lifecycles end-to-end. I value fast-paced experimentation, clear engineering standards, and mentoring teams.

I’m an AI/ML and Data Engineer with around 10 years building production-grade AI systems and scalable data platforms. At T-Mobile, I designed self-running AI frameworks and exposed AI/ML outputs to enterprise systems via Python REST API integrations, backed by CI/CD quality gates in Jenkins and Git. I also led end-to-end ML lifecycles on GCP, including orchestrating and migrating models from Yahoo Polaris grid to GCP with accuracy benchmarks.

I build reliable GCP and Big Data pipelines—ETL with Cloud Composer/Airflow, streaming with Pub/Sub into BigQuery and Dataproc, and modeling/ETL with Snowflake SQL—while supporting large-scale ingestion across Hadoop ecosystems. I translate ambiguous requirements into high-impact solutions, mentor engineering teams, and turn rapid experimental advances into functional, production-ready systems with tight delivery timelines.

Experience

Work history, roles, and key accomplishments

T-mobile  logoTM

ML engineer

May 2023 - Feb 2026 (2 years 9 months)

Research, build and design self-running AI Systems to support AI frameworks and ML models for various business use cases and provide insights to the SOI (System of Insights) and Pega systems to address the issues for the end clients.

Anthem Inc logoAI

Data Engineer

Anthem Inc

May 2019 - Mar 2023 (3 years 10 months)

Built HIPAA-compliant ETL and large-scale PHI migration pipelines for customer health insurance claims, implementing privacy-by-design controls. Improved data quality by catching 15% more schema drift, built a Kafka streaming pipeline for real-time member engagement, and delivered a predictive model achieving 85% accuracy.

Barclays logoBA

Data Engineering Associate

Nov 2014 - May 2017 (2 years 6 months)

Developed Spark/ML pipelines to predict customer call volumes and classify text remarks using models such as Random Forest and Logistic Regression. Built data ingestion and streaming workflows moving data from Teradata to HDFS via Sqoop/Oozie and using Kafka producers/consumers to load real-time data into Hive.

Education

Degrees, certifications, and relevant coursework

JU

JNTU University

Bachelor of Technology (B.Tech), Electrical and Electronics Engineering

Earned a Bachelor of Technology (B.Tech) in Electrical and Electronics Engineering from JNTU University, graduating in 2014.

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