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Subba Taniparti

MS, CKA, ADE

[email protected](814) 844-5012Raleigh-Durham, NCgithublinkedin

Professional Experience

MASTERCARD Sep 2025 – Present
Lead AI Engineer – AI Center of Excellence · Remote, NC
  • Led the development and production deployment of the MAP (MasterCard Assistant Platform) AI Service, including model-serving jobs, inference endpoints, Databricks assets, and production-grade configurations.
  • Architected and deployed production-grade Generative AI services on AWS, supporting LLM-based inference workflows, secure model serving, and low-latency API access via EKS and event-driven orchestration.
  • Designed and operationalized RAG-style AI service runtimes, integrating structured and unstructured data pipelines, retrieval workflows, and model orchestration for enterprise AI use cases.
  • Built and hardened GenAI guardrails, including prompt protection patterns, safety filtering, and early PII/prohibited-content detection aligned with responsible AI standards.
  • Led end-to-end GenAIOps pipelines, covering CI/CD, environment promotion, model runtime configuration, health checks, and observability using Datadog and Splunk.
  • Partnered with data scientists and product teams to translate business workflows into scalable AI services, ensuring compliance, resilience, and consistent production behavior.
  • Improved production stability by diagnosing and resolving systemic failures across EKS workloads, service bindings, schema evolution, and environment-specific configuration, resulting in sustained “green” deployments.
  • Acted as technical lead for AI platform architecture, influencing engineering standards, deployment patterns, and runtime best practices across multiple teams.
  • Optimized EKS deployments for MAP by improving workload readiness, health-check reliability, configuration accuracy, and container lifecycle behaviours.
  • Strengthened environment and dependency management by validating versioning, runtime compatibility, and system-to-system communication for critical MAP components.
MASTERCARD Sep 2022 – Aug 2025
Senior Cloud Engineer – AI/ML Enablement & AWS Cloud Platform · Remote, NC
  • Led cloud engineering efforts for Mastercard’s South Africa SOIL enablement, ensuring AWS infrastructure, routing, and service configurations were production-ready to support mission-critical payment transactions.
  • Supported full ML lifecycle operations, including deployment, performance monitoring, drift detection, feature freshness validation, and rapid remediation of issues such as failing DAGs, container crashes, and latency bottlenecks.
  • Enabled secure, scalable AI platforms for regulated financial systems, ensuring high availability, low latency, and strict compliance requirements.
  • Collaborated with AI/ML teams to standardize MLOps patterns, deployment workflows, and operational readiness for production AI systems.
  • Designed and deployed ML-enabled and GenAI services on AWS (EKS, EC2, S3, IAM, VPC, Private Link), delivering secure, scalable, and compliant AI workloads supporting real-time decisioning and transactional systems.
BAYER CROP SCIENCE May 2021 – Present
Senior Data Engineer – ML & Data Science Pipelines · St. Louis, Missouri
  • Built full vision-processing and IoT data pipelines across AWS/GCP to develop and operationalize a model that detects insect mortality from time-separated images, using S3, Lambda, Step Functions, Airflow, Big Query, and Dataflow.
  • Built end-to-end Intelligent Data Processing pipelines for computer vision and IoT-based ML models, automating ingestion, feature extraction, and training dataset generation across AWS and GCP.
  • Designed scalable pipelines for unstructured data processing, supporting model training and inference workflows using Airflow, Step Functions, S3, BigQuery, and Dataflow.
  • Implemented SQL-based feature engineering pipelines in Snowflake to support ML experimentation and production deployment.
BAYER CROP SCIENCE Apr 2020 – May 2021
Cloud Data Engineer, Contractor · St. Louis, Missouri
  • Developed ingestion and transformation pipelines using Python, SQL, Redshift, S3, and Kafka.
  • Deployed cloud infrastructure with CloudFormation and automated job scheduling.
  • Supported data warehouses and ODS systems powering ML workloads.
EQUIFAX Feb 2020 – Apr 2020
Sr Data Engineer, Contractor · St. Louis, Missouri
  • Developed File Hashing to compare data and identify changes and updates to Save Computational Used by GCP Data Flow Jobs.
BAYER CROP SCIENCE June 2018 – Feb 2020
Data/Analytics Engineer, Contractor · St. Louis, Missouri
  • Developed an automated tool application that increased the percentage of soy harvested by 18% in 2018 and 22% in 2019 compared to 2017 by predicting optimal harvest times based on real-time weather and soil data
  • Built APIs using Python3 Flask, FastAPI, and an ASGI Server that substantially reduced API response time by 70% compared to traditional services and followed strict privacy standards
  • Helped data scientists to automate their models for efficiency and improved run time by providing more computational power to prediction models.
ERICSSON INC Jan. 2016 – Jun. 2018
API/Data Engineer, Contractor · Piscataway, New Jersey
  • Designed and Deployed an automated log monitoring tool used by T-Mobile in over 10 countries to measure network usage and predict the following month’s usage, information used to tailor offers and credits to customer behaviour.
  • Involved in POC to setup AKS (Azure Kubernetes Service) for Data Scientists.

Education

University of the Cumberlands 2015 – 2016
Master of Science, Information Systems Security · Kentucky · GPA - 4.0
Jawaharlal Nehru Technological University-Hyderabad India 2012 – 2014
Master of Technology, Computer Science · GPA - 3.7

Certifications

  • Certified Kubernetes Administrator (CKA)
  • ADE