Shivaraj Chinthakindi

Software Engineer

Romeoville, Illinois, United States0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Python development and data engineering.
Proven track record in machine learning for finance.
Strong background in cloud and DevOps practices.

Stackforce AI infers this person is a Fintech and Healthcare data engineer with strong machine learning and cloud capabilities.

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Skills

Core Skills

Data EngineeringMachine Learning

Other Skills

API Integration and AutomationAgile Project Management and Cross-functional CollaborationCloud and DevOps (AWS, CI/CD, Docker, Kubernetes)Data CleansingData Engineering and ETL DevelopmentData EthicsData ManipulationData StructuresDebuggingDevOpsFlask (Web Framework)Generative AIGit (Version Control System)GitHubMachine Learning for Finance

Experience

Optum

Python Developer

Jun 2024 – Sep 2025 · 1 yr 3 mos · United States · Remote

Developed and optimized Python-based healthcare applications and APIs to streamline claims processing, eligibility checks, and EHR integration, improving transaction speed by 25%.
Designed and automated data pipelines to ingest and standardize large-scale provider and payer data, ensuring high-quality analytics while maintaining HIPAA compliance.
Deployed predictive models for patient risk stratification, readmission prediction, and fraud detection, cutting false positives by 18% and improving clinical decision support.
Built real-time dashboards and reporting tools that gave care managers actionable insights into patient outcomes and provider performance.
Automated routine eligibility and reporting workflows, reducing manual effort by 40% and accelerating turnaround for care teams.
Led cloud migration and DevOps initiatives, enabling secure deployments and reducing release cycles from weeks to days.
Improved system scalability and reliability through containerization and orchestration, ensuring high availability for healthcare applications.
Collaborated with clinicians, data scientists, and business stakeholders in Agile/Scrum teams to deliver solutions aligned with regulatory and operational needs.
Strengthened data security and privacy by implementing role-based access controls, encryption, and compliance with U.S. healthcare regulations.

Python developmentData Engineering and ETL DevelopmentMachine Learning for FinanceCloud and DevOps (AWS, CI/CD, Docker, Kubernetes)API Integration and AutomationAgile Project Management and Cross-functional Collaboration+8

Zensar technology limited

Python Developer

Sep 2021 – Jul 2023 · 1 yr 10 mos · India · Hybrid

Developed Python-based financial applications and APIs to streamline transaction processing and account reconciliation, improving operational efficiency by 20%.
Designed and automated ETL pipelines to ingest and standardize multi-source financial data, ensuring >99% data accuracy for compliance and reporting.
Implemented machine learning models for fraud detection, credit risk scoring, and anomaly detection, reducing potential financial losses by 15%.
Automated regulatory reporting and compliance workflows, ensuring adherence to SEC and SOX standards while cutting manual reporting time by 40%.
Delivered real-time dashboards that provided traders and risk managers actionable insights into portfolio performance, liquidity risk, and exposure metrics.
Deployed financial applications to the cloud with CI/CD pipelines, enabling secure, reliable, and faster software releases.
Enhanced system scalability and reliability through containerization and orchestration, ensuring high availability for mission-critical applications.
Partnered with analysts, engineers, and business teams in an Agile/Scrum environment, consistently meeting delivery timelines for high-priority projects.
Strengthened data security and privacy with encryption and access controls, maintaining compliance with global finance regulations.