BALADIVAAGUR SR

Engineering Manager with 10+ years in AI/ML & Data Engineering

Zynix Al

India

Since April 22, 2026

About

Senior AI Governance and Healthcare Technology Leader with 11+ years of experience driving the design, implementation, and scaling of compliant AI and data ecosystems across clinical environments. Proven expertise in embedding Responsible AI principles into HL7/FHIR-based platforms, ensuring data integrity, auditability, and regulatory compliance across the AI lifecycle. Certified AI Governance Specialist with hands-on experience operationalizing frameworks aligned to EU AI Act and ISO/IEC 42001, enabling safe and scalable adoption of GenAI and ML solutions within EMR systems. Recognized for leading cross-functional teams, establishing risk-based governance models, and delivering enterprise-grade AI platforms that balance innovation with compliance, improve clinical outcomes, and strengthen organizational trust in AI-driven decision-making.

Top Skills

Terraform

Skills

PythonNode.JsJavaScriptC++PostmanGitJiraConfluenceLlmMlopsDevOpsCiCdTerraformKubernetesDockerData Lineage

Experience

Zynix Al

Senior Manager – Integrations & Data

November 1, 2025 – Present

Biofourmis Pvt Ltd

Senior Manager

October 1, 2020 – November 1, 2025

Core Mobile Technologies

Integration Consultant

March 1, 2020 – October 1, 2020

CitiusTech

Senior Software Engineer

October 1, 2019 – February 1, 2020

Auxo Technology Labs

Integration Specialist

March 1, 2019 – October 1, 2019

Cognizant Technology Solutions

Associate

February 1, 2015 – March 1, 2019

Certifications

Oracle Certified Java Programmer

Oracle

April 1, 2026 – Present

Professional Degree in Machine Learning

Unknown

April 1, 2026 – Present

Certified AI Governance Specialist

Unknown

April 1, 2026 – Present

Key Strengths

Extensive experience (10 years) in healthcare technology, specializing in complex integrations (HL7 v2, FHIR, EDI X12, Mirth Connect) and EMR systems (Epic, Cerner, Athena).
Proven leadership and team-building capabilities, having scaled and managed cross-functional engineering teams of 10+ to 40+ members across AI/GenAI, ML, Data Engineering, and DevOps.
Deep expertise in defining and implementing enterprise AI platform strategy and governance, ensuring compliance with global regulations (OECD AI Principles, EU AI Act, HIPAA, ISO/IEC 42001).
Strong background in MLOps and DevOps frameworks (CI/CD, Terraform, Kubernetes, Docker), leading to significant improvements in deployment cycles, uptime, and incident recovery.
Demonstrated ability to drive business impact through technology, achieving substantial reductions in operational costs, faster deployment, improved scalability, and increased patient engagement.
Highly relevant experience for an Engineering Manager role focused on AI/ML and data platforms within the healthcare sector.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 indicates a significant concern regarding logical reasoning, work attitude, stress handling, and team collaboration. Without further context or re-evaluation, this score suggests a potential poor cultural fit. However, the resume highlights extensive experience in leading and scaling teams, and collaborating cross-functionally, which presents a contradiction. Data is insufficient to make a definitive conclusion without re-testing or interview validation.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Extensive experience (10 years) in healthcare technology, specializing in complex integrations (HL7 v2, FHIR, EDI X12, Mirth Connect) and EMR systems (Epic, Cerner, Athena).
Proven leadership and team-building capabilities, having scaled and managed cross-functional engineering teams of 10+ to 40+ members across AI/GenAI, ML, Data Engineering, and DevOps.
Deep expertise in defining and implementing enterprise AI platform strategy and governance, ensuring compliance with global regulations (OECD AI Principles, EU AI Act, HIPAA, ISO/IEC 42001).
Strong background in MLOps and DevOps frameworks (CI/CD, Terraform, Kubernetes, Docker), leading to significant improvements in deployment cycles, uptime, and incident recovery.
Demonstrated ability to drive business impact through technology, achieving substantial reductions in operational costs, faster deployment, improved scalability, and increased patient engagement.
Highly relevant experience for an Engineering Manager role focused on AI/ML and data platforms within the healthcare sector.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit