---
title: "Barath Ravichander - Director - AI/ML in Bengaluru | Tal"
description: "Meet Barath Ravichander, Driving AI/ML strategy and innovation for business impact. based in Bengaluru. AI stack includes claude code, codex, and deepseek. Explore public work links including barathravichander.in, github, and medium."
image: "https://tal.club/meet/barath-ravichander/share-image"
---

# Barath Ravichander on Tal

## Headline

Driving AI/ML strategy and innovation for business impact\.

## About

Driving the design and execution AI/ML systems that accelerate automation, insight, and scale\. My focus is on building LLM\-powered applications, agentic AI\-driven workflows, and ontology\-based frameworks that enhance context\-awareness, decision\-making, and self\-improving capabilities\. With deep expertise in Agentic AI and AI Agent\-led workflow systems, I help enable autonomous, goal\-directed operations that transform business processes\. I specialize in translating complex AI concepts into scalable, production\-grade solutions that deliver tangible business value\. My experience spans multi\-cloud platforms \(AWS, Azure, GCP\), data engineering, DevOps, and modern databases \(MPP, NoSQL\)—empowering enterprises to deploy AI at scale\. Core Skills: Ontology Design \| LLMs \| NLP \| KNN \| Agentic AI \| AI Agents \| Prompt Engineering \| ML Pipelines \| Multi\-Cloud \(AWS, Azure, GCP\) \| Python \| SQL \| DevOps \| Greenplum \| MarkLogic \| AI Solutioning Let’s connect to explore intelligent systems, autonomous workflows, and practical AI innovation\.

## Location

Bengaluru

## AI stack

claude code

codex

deepseek

hermes agent

hugging face

mcp

## Work experience

Director \- AI/ML at Flexera, Apr 2025 \- Present · 1 yr 7 mos, Bengaluru, Karnataka, India · Hybrid, \- Driving the evolution of AI/ML strategy and agentic AI innovation, aligning advanced AI capabilities with business priorities to accelerate automation, insights, and decision\-making at scale\. \- Defining and executing the AI/ML vision and roadmap, identifying high\-impact opportunities across products, platforms, and functions\. \- Leading the design and development of LLM\-powered solutions, agentic workflows, and ontology\-driven AI models to enable intelligent automation and next\-generation product capabilities\. \- Enabling teams and fostering AI maturity, coaching cross\-functional groups on responsible AI adoption, ML best practices, and scalable deployment frameworks\. \- Ensuring robust, production\-grade deployment of models, overseeing evaluation, selection, and integration into real\-world business use cases\. \- Measuring and communicating the ROI and business value of AI/ML initiatives, tracking performance metrics and presenting outcomes to leadership\. \- Partnering closely with product, engineering, and data teams to embed AI seamlessly into workflows, platforms, and customer\-facing solutions—driving practical, scalable AI innovation\. Core Focus Areas: AI/ML Strategy \| Agentic AI & AI Agents \| LLM Applications \| Intelligent Automation \| Ontology\-Driven AI \| Scalable ML Pipelines \| Cloud Architecture \(AWS, Azure, GCP\) \| Big Data Analytics \| Data Engineering \| AI Solutioning \| DevOps \| Business Impact Measurement

Sr\. Manager Data & Analytics at Flexera, Jan 2024 \- Apr 2025 · 1 yr 4 mos, Bengaluru, Karnataka, India · Hybrid, AI/ML Strategy: Define and evolve the AI/ML vision and roadmap in alignment with Flexera’s business priorities, identifying high\-impact opportunities across products and functions\. Drive Model Innovation: Lead the design and development of LLM\-based solutions, agentic workflows, and ontology\-driven AI models to power intelligent automation and product capabilities\. Enable Teams & Foster AI Maturity: Coach cross\-functional teams on applying AI/ML effectively, build internal capabilities, and promote best practices, tools, and responsible AI use\. Ensure Scalable Deployment: Oversee model evaluation, selection, and deployment processes, ensuring robustness, production\-readiness, and alignment with real\-world use cases\. Deliver & Communicate Business Impact: Measure the ROI of AI/ML initiatives by tracking performance metrics, quantifying business value, and presenting outcomes to leadership\. Cross\-Functional Collaboration: Partner with product, engineering, and data teams to embed AI seamlessly into workflows and customer\-facing solutions\.

Technology Architect at Broadridge India, Aug 2022 \- Jan 2024 · 1 yr 6 mos, Bengaluru, Karnataka, India, 1\. Architecting cloud migrations in AWS 2\. Improving time to market for migrations projects 3\. Cloud cost saving mechanisms 4\. Data lake designing and moving apps together to save costs 5\. Supporting Business As Usual projects 6\. DR strategies in cloud migrations 7\. Preparing modes for Machine Learning & Automations

Cloud Architect, Data Engineer at Broadridge, Oct 2017 \- Nov 2022 · 5 yrs 2 mos, Bengaluru, Karnataka, India, 1\. Engineering applications on cloud 2\. Development and Architecture applications on Prem to cloud \- which includes tech stacks like \(RDS, ECS, EC2, Lambda, S3, Batch, Pipeline etc\.\) 3\. In cloud Dev\-Ops application and running Jenkins cicd, gitlab\-ci 4\. Infra structuring or orchestrate applications on cloud using tools like Terraform 5\. Complete ownership of application that starts from requirement gathering to design, development, co\-ordinating with teams like qa, product etc\. till production\. 6\. Followed agile and Dev\-Ops model 7\. Integrating tools like sonar qube, selenium etc\. 8\. Security planning that handles vpc, SGs etc\.

Data Engineer at Broadridge, Jan 2017 \- Oct 2017 · 10 mos, Bengaluru, Karnataka, India, 1\. Working with teams to support and prepare a data fabric layer for fortress systems 2\. Work on dev\-ops in build and testing cicd pipelines for Java applications, marklogic \(xquery\) 3\. Managing Infrastructure for 3 clients \(build, install and manage\) and supporting QA and performance teams a\. Installing tomcat on a rhel b\. Integrating SSO to application on Apache 4\. Support in performance testing support for a large application that is realtime 5\. Build test packs using Junit frameworks 6\. Building shell scripting frameworks for running test packs

Data Warehouse Engineer at Broadridge, May 2013 \- Dec 2016 · 3 yrs 8 mos, Hyderabad, Telangana, India, 1\. Data Modeling \- MPP, to handle 5 billion \+ transaction 2\. Involved in SDLC for a project called Performance Reporting \- to handle massive data including implementing it in production 3\. Analyze data growth 4\. Performance Tuning a\. Analysing data required for tuning b\. Preparing test data and volume load planning for Greenplum 5\. Create logical or physical designs \- Data modelling 6\. Developing applications using SQL, PL/SQL, PL/PGSQL 7\. Supporting QA teams and working with them to attain good FTR rate

Data analyst at Impact, Dec 2011 \- Jun 2013 · 1 yr 7 mos, United Kingdom, 1\. Worked on Data loading framework, Storage management 2\. Plan for data growth \- Due to increase in support for portal management Data flow for process development\- using HIve 3\. transferring data through Data store \- HDFS

## Education

Master of Science \(MSc\), Database and Web based systems, The University of Salford

Btech, Computer Science, SRM

## Public links

- barathravichander\.in: https://barathravichander\.in/
- github: https://github\.com/barc\-ah
- medium: https://medium\.com/@barath\.ravichander

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

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