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The people behind
SquareML.

We’re a team of data scientists, engineers and delivery leaders who turn complex data into practical AI that works in the real world.

Jersey City · London · Chennai

Leadership

Leading the
work.

Balaji Modhagala

Chief Executive Officer

Balaji is the founder-minded technologist behind SquareML. A hands-on tech leader, he sets the company’s vision and stays close to the engineering, from platform architecture to how models and agents reach production.

His focus is making enterprise AI practical: no-code tools that put machine learning in the hands of the people who own the process, built with the security and reliability that regulated industries like healthcare and financial services demand. He leads SquareML’s growth across the US, UK and India, and works closely with clients to turn their toughest data problems into AI that ships in weeks, not years.

Renukadevi Navaneethan

Lead Data Scientist & AI Consultant

Data Science

Renukadevi works with SquareML as a consultant, leading its data science practice. She is a Lead Data Scientist, AI consultant, academic mentor and Chartered Accountant, with more than 10 years of experience across analytics, machine learning, statistical modelling and Generative AI. She has led end-to-end AI delivery across healthcare, manufacturing, finance, insurance and education.

Education and credentials
DBA (AI), Walsh UniversityM.Sc. StatisticsMBA (Finance)ML & Cloud, IIT MadrasData Science, Great LakesAI & ML, Great LearningUGC NET / SET

Saradha

Senior Project Manager, Head of Development

Development

Saradha leads the development team and has more than 20 years of experience in software engineering and delivery. Saradha leads the build of SquareML’s healthcare platform, which covers ADT processes, care management, risk stratification and analytics dashboards.

Saradha also oversees the full technology stack, including Java, Angular, Elasticsearch and Cassandra, and has led teams of more than 20 people. That work includes setting technical direction, gathering requirements with stakeholders and planning delivery with a focus on managing resources and reducing risk.

Stack
JavaAngularElasticsearchCassandra
Our members

Data science
and development.

Data Science Team

Led by Renukadevi Navaneethan

Tarun Venkatesh

Data Scientist

Tarun builds GenAI and machine learning solutions for healthcare. Tarun’s work includes:

  • Natural-language apps that let users query data without dashboards
  • Automated extraction of clinical notes and speech data
  • Models that predict readmissions and flag high-cost patients
  • Automation of more than 25 financial and operational reports, which cut manual effort and sped up insights
Skills
SQLPythonMachine learningVisualization

Ranjith Sandra

Junior Data Scientist

Ranjith is an AI developer who builds healthcare AI. Ranjith’s work focuses on patient note analysis, intelligent data extraction and custom chatbots for patient data management using MCP (Model Context Protocol) workflows.

Skills
LLMsLangChainLangGraphRAG systemsAI agentsHealthcare data pipelines

Development Team

Led by Saradha

Poojha Boopathi

Senior Software Developer

Poojha has more than 5 years with the team. Poojha builds and maintains the application layer of our platforms, working across JavaScript, HTML and modern web technologies.

Skills
JavaScriptHTMLModern web

Ravi Rajaram

DevOps Consultant

Ravi supports SquareML as a DevOps consultant. He builds production-grade cloud environments that are scalable, secure and cost-optimized. His work covers Amazon EKS clusters, infrastructure as code with Terraform, Jenkins CI/CD pipelines and observability with OpenTelemetry, Elasticsearch and Kibana. He brings more than a decade of experience in systems engineering, networking and cloud infrastructure across AWS and Azure.

Skills
Amazon EKSTerraformJenkinsOpenTelemetryElasticsearch & KibanaAWSAzure
Life at SquareML

Small teams,
real impact.

We work across Jersey City, London and Chennai — data scientists and engineers side by side.

Real problems, real impact

Our work goes into production for hospitals, health plans, banks and manufacturers. You’ll see what you build make a difference.

Learn by building

We work hands-on with the latest in GenAI, agentic AI and cloud engineering, and we share what we learn across teams.

Mentorship at every level

Senior team members mentor and support newer colleagues, so everyone has room to grow.

Small teams, big ownership

Data scientists and engineers work side by side. Everyone owns their work from idea to deployment.

Flexible and collaborative

We work across Jersey City, London and Chennai, combining remote flexibility with close teamwork.

Discovery call

Work with
our team.

Book a free discovery call. We’ll map your biggest opportunity and outline a clear path to value.