---
title: "Ravi Devineni - Data & AI Architect in Bengaluru | Tal"
description: "Meet Ravi Devineni, Data and AI | Gen AI | ML Architect based in Bengaluru. AI stack includes antigravity, codex, and gemini."
image: "https://tal.club/meet/ravi-devineni/share-image"
---

# Ravi Devineni on Tal

## Headline

Data and AI \| Gen AI \| ML Architect

## About

I am a Data amp; AI Architect with 14\+ years of experience across Data Engineering, AI/ML, Cloud Architecture, MLOps, Generative AI, and technology delivery\.I specialize in designing scalable Data amp; AI platforms and building production\-ready AI solutions using GCP, AWS, Azure, Databricks, Vertex AI, Python, Spark, and modern ML/GenAI technologies\. My experience includes LLMs, agentic AI, AI chatbots, MLOps pipelines, data platforms, and enterprise data architectures\.I have designed and delivered AI solutions including AI\-powered customer support, human\-agent assistance, automated MLOps pipelines, search and relevancy solutions, and real\-time data platforms\. I focus on translating business requirements into scalable, secure, cost\-efficient, and production\-ready Data amp; AI solutions\.I enjoy solving complex business problems through Data, AI, and GenAI while working closely with engineering teams, business stakeholders, and leadership to take solutions from architecture and POCs to production\.

## Location

Bengaluru

## AI stack

antigravity

codex

gemini

geminicli

github copilot

## Work experience

Data & AI Architect at Endava, Feb 2023 \- Present · 3 yrs 10 mos, Bengaluru, I am a Sr Data Engineer with 14\+ years of experience designing, building, and optimizing scalable data platforms, ETL pipelines, batch and streaming data solutions, and cloud\-based data architectures\.I specialize in building reliable and high\-performance data solutions using Python, SQL, Apache Spark, Kafka, Airflow, Databricks, Hadoop, and cloud platforms including GCP, AWS, and Azure\. My experience includes GCP Dataflow, BigQuery, Dataproc, Pub/Sub, AWS Glue, Kinesis, Redshift, Athena, Azure Databricks, Microsoft Fabric, and Synapse Analytics\.I have designed and implemented end\-to\-end data pipelines for large\-scale data ingestion, transformation, processing, analytics, clickstream, search, and machine learning use cases\. I focus on building solutions that are scalable, maintainable, secure, cost\-efficient, and aligned with business requirements\.A key strength is optimizing existing data platforms for both performance and cost\. For example, I reduced data lake costs from approximately $16,000 to $2,500 per month while improving pipeline performance, and reduced a SQL full\-load pipeline from 9 hours to approximately 5 hours\.I also bring strong experience in data architecture, MLOps, data governance, machine learning pipelines, and AI/ML platforms, allowing me to bridge traditional data engineering with modern AI and analytics requirements\.I enjoy solving complex data problems, improving engineering efficiency, mentoring teams, and transforming business requirements into scalable data solutions\.

AD Data Engineering at Fareportal, Jan 2019 \- Jan 2023 · 4 yrs 1 mo, Bengaluru, • Built clickstream and search\-log pipelines using Kinesis, Kafka, MongoDB, and ClickHouse\. • Led enterprise AI and cloud\-native data modernization initiatives\. • Designed scalable ETL and streaming architectures using Airflow, Spark, Kafka, Glue, and BigQuery\.

Executive Engineer & Technical Architect at Continental, Sep 2012 \- Dec 2018 · 6 yrs 4 mos, Bengaluru, Architected and developed scalable data processing solutions to handle and analyze petabyte\-scale datasets using Python and distributed data processing frameworks\. Designed robust data architectures and analytics pipelines to transform complex raw data into actionable insights for business and engineering stakeholders\. Led the design and development of a latency analysis framework by capturing and analyzing sensor signal propagation across hardware components, enabling identification of performance bottlenecks and outliers\. Developed tools to convert recorded sensor data into binary signal formats, improving data standardization and downstream processing efficiency\. Built end\-to\-end data pipelines for capturing and processing Advanced Driver Assistance Systems \(ADAS\) data, including Traffic Sign Assist \(TSA\), Speed Recognition \(SR\), and Map Navigation, supporting simulation and validation environments\. Designed and implemented data labeling platforms for annotating critical driving\-related features such as speed signs, traffic signals, lane markings, vehicle headlights, and other dynamic road objects\. Architected and delivered enterprise asset management applications to track, monitor, and manage organizational assets effectively\. Collaborated with cross\-functional teams to define system architecture, data models, and technical standards, ensuring scalable, reliable, and maintainable solutions\. Drove best practices in software engineering, data engineering, and system design to support high\-performance, data\-intensive applications\.

## Education

Bachelor of Technology \- BTech, Electrical, Electronics and Communications Engineering, JNTU Anantapur

[View the original profile](https://tal.club/meet/ravi-devineni)

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