Pragith Prakash

AI Forward Deployed Engineer, consultant and educator

14+ years designing, implementing and operating AI systems, data platforms, cloud infrastructure, analytics and engineering automation.

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Core capabilities

Cloud and data
Google Cloud: BigQuery, Pub/Sub, Dataflow, Dataproc, Composer, GKE, Cloud Run, IAM, VPC, Cloud Storage and Looker. AWS: S3, Glue, Athena, Lambda, Kinesis and DynamoDB. Azure: Databricks and Synapse.
Data and AI platforms
Apache Spark, Delta Lake, MLflow, Kafka, Airflow, dbt, real-time streaming, event-driven architecture, model lifecycle automation, AIOps and MLOps.
Delivery and operations
Docker, Kubernetes, Terraform, GitHub Actions, CI/CD, infrastructure as code, model deployment, observability, monitoring and performance investigation.
Programming and APIs
Python, SQL, R, FastAPI, Flask, REST APIs, MongoDB and Elasticsearch.
Leadership
Enterprise architecture, technical roadmaps, cross-functional leadership, executive stakeholder work and delivery ownership.

Professional experience

2024–present

AI systems and enterprise platform delivery

Enterprise marketing and analytics technology

Architecture, implementation and production support for AI-assisted workflows, multi-cloud data platforms, internal tooling, CI/CD and observability. Work includes an internal AI assistant and an analytics estate processing multi-terabyte daily workloads through hundreds of pipelines.

2021–2024

Data operations, business intelligence and platform reliability

Large-scale enterprise analytics

Operational ownership across cloud data processing, release automation, dashboard systems, incident investigation and reliability improvements for high-volume analytical workloads.

2021

Cloud data and applied research leadership

Healthcare-adjacent operational software

Led technical quality and applied data research, including event-driven integrations, real-time cloud pipelines, delivery automation and governance-sensitive operational controls.

2017–2021

Data science and analytics consulting

Global consulting and regulated environments

Designed cloud analytics, modelling and compliance-grade processing for enterprise and Fortune 500 environments, including sensitive forensic and regulatory datasets requiring auditability and traceability.

2015–2017

Enterprise data science and operational analytics

Global technology services

Built analytical systems over high-volume operational and log data, with responsibility for modelling, implementation, performance investigation and stakeholder delivery.

2012–2015

Data analysis and platform foundations

Digital services and early-stage data products

Worked across reporting, backend development, real-time analytics and the foundations of production data platforms using Python, SQL, R and distributed processing tools.

Teaching and community

  • Lead instructor for professional data science and data engineering programs, including enterprise workforce cohorts
  • Graduate-level instruction in statistics, visualization, dashboards and real-time Python APIs
  • Developer-community leadership, cloud workshops, DevFests and technical mentoring
  • Founder and director of Vriksh Consulting Services Inc.

Certifications

  • Google Cloud Professional Data Engineer
  • Google Cloud Professional Cloud Architect
  • Databricks Certified Data Engineer Associate
  • Databricks Certified Generative AI Engineer Associate
  • AWS Certified Cloud Practitioner

Education

2013–2015

Master of Business Administration in International Business

Institute of Chartered Financial Analysts of India, Bangalore

2007–2012

Bachelor of Engineering in Information Technology

CMR Institute of Technology, Bangalore