Barath Ravichander
Driving AI/ML strategy and innovation for business impact.
Bengaluru
14+ years of work experience
Apr 20251 yr 7 mosPresent
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
Jan 20241 yr 4 mosApr 2025
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.
Aug 20221 yr 6 mosJan 2024
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
Oct 20175 yrs 2 mosNov 2022
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.
Jan 201710 mosOct 2017
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
May 20133 yrs 8 mosDec 2016
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
Dec 20111 yr 7 mosJun 2013
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
Barath’s AI Stack
Education
Master of Science (MSc), Database and Web based systems
The University of Salford
20111 yr2012
Btech, Computer Science
SRM
20064 yrs2010
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