Sreenivasulu Ramisetty

16+ Years of Experience

Master of Computer Applications (MCA) Jawaharlal Nehru Technological University (JNTU), Hyderabad in 2007 -2010.

Bachelors of science Srikrishna deva Raya university Anantapur 2003 -2006

About Sreenivasulu Ramisetty

Lead System Architect with 16+ years of experience

Lead System Architect with 16+ years of experience leading enterprise-wide architecture strategy, digital transformation, and mission-critical solution delivery across healthcare and retail domains. Expert in architecting scalable, secure, and high-performance BPM ecosystems using Pega PRPC (versions 5.x–24.x), aligned with business vision and enterprise architecture frameworks.

Proven track record of defining and executing enterprise architecture roadmaps, establishing governance models, and driving technology standardization across large organizations. Strong focus on modernizing legacy platforms, enabling cloud-native and hybrid architectures, and leveraging AI-driven automation to deliver measurable business outcomes.

Extensive experience with Microsoft Azure, CRM, and Power Platform ecosystems, designing integrated, API-first, and event-driven architectures that support complex enterprise landscapes. Adept at building reusable frameworks, accelerators, and reference architectures to improve delivery speed, scalability, and maintainability.

Recognized for expertise in data architecture, large-scale data migration, security and compliance frameworks, and advanced analytics using Power BI and Dynamics 365. Skilled in aligning technology solutions with regulatory requirements and enterprise risk management strategies.

Influential technology leader with strong executive presence, partnering with C-level stakeholders, business leaders, and global engineering teams to drive innovation and strategic initiatives. Champion of Agile, DevOps, and platform engineering practices, fostering a culture of continuous improvement, architectural excellence, and high-performing teams.

Global Recognition & Achievements

Recognized by prestigious international organizations for contributions

to engineering, research, and innovation.

IEEE Senior Member

Recognized for professional excellence and technical contributions.

Fellow – SCRS

Acknowledged for research and innovation.

Fellow – IETE

Recognized expertise in electronics & communication.

Fellow – IAEME & ACR

Honored for engineering and computer research contributions.

A Study On a Machine Learning Based Classification Approach in Identifying Heart Disease Within E-Healthcare

20 December 2023

Data Governance for AI-Powered Pega Applications: Compliance, Privacy & Reliability

February 2025

Optimizing Real-Time Data Pipelines for Machine Learning: A Comparative Study of Stream Processing Architectures

13 September 2024

Data versioning and its impact on machine learning models

29 January 2024

Hybrid quantum-classical machine learning models: powering the future of AI

12 January 2023

Neurosymbolic AI: Bridging neural networks and symbolic reasoning

30 January 2025

AI-powered Neuroprosthetics for brain-computer interfaces (BCIs)

16 May 2024

AI-Guided Exception Handling in Pega RPA for Complex, High-Volume Processes

September 2025

Adaptive Decisioning in Pega: Evaluating Online Learning Algorithms for Real-Time Personalization

1 March 2022

AI-Driven Prior Authorization Automation in Healthcare Using Pega Case Management and Real-Time Decisioning

1 June 2025

Adaptive AI Models in Pega: Real-Time Learning for Customer Behavioral Prediction

November 2024

Privacy-Preserving Predictive Analytics in Healthcare Using Pega Federated Learning and Differential Privacy Models

1 July 2022

Media

Sreenivasulu Ramisetty's Dual AI Research Delivers Critical Architecture for Next-Generation Intelligent Systems

Sreenivasulu Ramisetty: The Architect Redefining How the World’s Data Thinks, Learns, and Responds

The Algorithm Whisperer: How Mr. Ramisetty Srinivasulu is Rewriting the Rules of AI Personalization and Medical Privacy

Code Meets Quantum: Sreenivasulu Architects the Bridge Between Classical Healthcare AI and Quantum Computing's Future

How Mr. Ramisetty Is Quietly Rewiring the Future of Human-Machine Intelligence

Lead System Architecture

Designing and leading end-to-end enterprise solutions with a focus on scalability, security, and performance.

Enterprise Solutioning

Architecting business-critical applications and aligning technology strategies with organizational goals.

Machine Learning & Artificial Intelligence:

Implementing AI/ML solutions for predictive analytics, automation, and data-driven decision-making.

Data Engineering

Building robust data pipelines, data lakes, and analytics platforms for large-scale enterprise systems.

Cloud Platforms (AWS & Azure)

Designing and deploying cloud-native solutions, hybrid architectures, and high-availability systems.

Performance & Stability Optimization

Ensuring high-performance, reliable, and resilient enterprise applications through best practices and monitoring.

Achievements & Recognitions

Accenture Center of
Excellence (ACE) Award

Honored for Business Delivery Excellence, recognizing leadership and outstanding contributions to project success.

Client Appreciation

Recognized by the client for the successful delivery and environment setup of the UCM Project.

CEO Commendation

Received direct appreciation from the client CEO for the successful implementation of the Navigator Project

Team Incredible Award

Awarded to the team by the client for exemplary effort and delivery on the EM Project.

Pat on the Back Award
(FY13–14 Q4)

Acknowledged for exceptional performance and commitment during the UCM Project.

My Certifications

A showcase of professional certifications demonstrating expertise and continuous learning.

Pega Certified Lead System Architect (PCLSA)

Microsoft Certified: Azure AI Engineer Associate

Microsoft Certified: Power Platform Certification

Pega Certified Decisioning Consultant (CPDC)

Pega Certified Marketing Consultant (CPMC)

Pega Certified Robotics System Architect (CRSA)

Pega Certified Senior System Architect (CSSA)

Pega Certified System Architect (CSA)

AHM 250 – Health Insurance and Managed Care

Pega Certified User Interface Architect (CUIS)

Pega Certified Data Scientist (PCDS)

Project Experience

Project -1

Project Name : Bennepath Duration: May 2023 to Present

Project Description:

Conduent is implementing new Eligibility and Enrollment determination system for state of New jersey to provide state funded health insurance program created to help qualified residents to obtain affordable health insurance. As a member of NJ family care, families are eligible for a wide range of services, unlike Medicare, NJ family care provides coverage to children, parents, single adults depending on different eligibility criteria. NJ family care eligibility is determined based on federal poverty level [FPL] of household member issued each year by department of health and human services.

Project - 2

Employer Name : Accenture Services Pvt. Ltd.
Client : Best Buy
Project Name : Process Automation- Retail Digital Dashboard,
Claims Management
Duration : March 2022 to May 2023

Project Description:

Claims Application is implemented to support carrier claims for lost or damaged products that are shipped to customers by gathering required data systemically with minimal to no user intervention. Automating the collection of data required for submitting a claim and use default values from available option sets for information that cannot be obtained from OMS.

Project - 3

Employer Name : Accenture Services Pvt. Ltd
Client : National Account Services Company
Project Name : Navigator -Claims
Duration : May 2016 to March 2022

Project Description:

Claims Navigator is a healthcare claims workflow and inventory management application that extends the power of core claims processing systems. Key features of Claims Navigator are, Claims Work Object Creation, Flexible Workbasket (work queue) Generation, Claim Prioritization, Skills & Rules based Routing, Claim Auto-Fetch and Display, Correspondence Generation and Management of Control and Reporting.

Project - 4

Employer Name: Accenture Services Pvt. Ltd
Client: Ministry of Health Holdings Singapore
Project Name: Common case Management System
Duration: May 2014 to May 2016

Project Description:

Fledged Common Case Management System (CCMS) for the case managers and other healthcare professionals from various public healthcare institutions (EHA, SHS, AHS, NHG etc) to facilitate the coordination of social, financial, and healthcare related services provided to the patient.

Project - 5

Employer Name: Tech Mahindra
Client: GE Heath Care
Project Name: Universal Customer Master
Duration: Jan 2013 to May 2014

Project Description:

Process managing requests to create, modify and/or merge GEHC accounts in the Universal Customer Master database does not provide the capabilities to efficiently manage the process flow. The request process flow into the UCM Data Stewards is highly manual, making it difficult to manage and track the volume of requests coming from the various business departments, including sales, service delivery, accounts receivable, credit underwriting and other partners throughout the GEHC business.