Dr. Mohan Raja Pulicharla, PhD
Machine Learning & Data Engineering Expert
About Me
I’m Dr. Mohan Raja Pulicharla, an expert in Machine Learning, Data Engineering and AI-driven solutions with a PhD in Machine Learning and healthcare. With over 20 years of IT experience, I’ve led key cloud transformation projects and published impactful research in ML, AI and data processing.
Role
Data Engineer, Staff
Employed
Move Inc, News Corp
Phone
+1 (858)-342-0544
Email
LinkedIn
Professional Skills
Machine Learning
Data Engineering
Artificial Intelligence
AWS
Work Experience
Data Engineer Staff (Machine Learning) at Move Inc, News Corp
Oct, 2021 - Present
- Design, develop, and deploy machine learning models
- Develop and Maintain Data Infrastructure for ML/AI Workflows
- Optimized Data Storage and Retrieval for AI Applications
- Real-time Machine Learning Model Deployment
- Automate ETL/ELT Processes for AI-Driven Applications
- Ensure Data Quality and Governance for AI/ML Models
Cloud Data Engineer & ML Engineer at NCDES- Division of Employment Security, NC.
Dec, 2020 - Oct, 2021
- Integration of Machine Learning Frameworks with Cloud Pipelines
- Deploy and Automate Machine Learning Models
- Manage container orchestration and deployment
- Optimize data storage and retrieval
- Implement security best practices
ML Ops Engineer (DevOps for Machine Learning) at Department of Human Services, MD
Jan, 2018 - Dec, 2020
- Design and Implement Automated End-to-End ML Pipelines
- Infrastructure Optimization & Containarization with EKS
- CI/CD for Machine Learning Model
- Monitoring and Automating Model Performance Degradation Detection
- Automate Hyperparameter Optimization and Experiment Tracking
Senior Full-Stack Developer & Machine Learning Engineer at Move Inc, News Corp
Mar, 2015 - Dec, 2017
- Machine Learning Model Development & Data Pipeline Integration
- Security and Compliance
- Performance Optimization and Maintenance
- Cloud Infrastructure Management
- API Development and Integration
Senior Software Engineer, Security Compliance at CVS Health
Oct, 2014 - Mar, 2015
- Security Architecture Design and Implementation
- Vulnerability Assessment and Penetration Testing
- Automating Security Controls
- Compliance Auditing and Monitoring
Lead Software Development Engineer at Causeway Technologies. India & UK
June, 2011 - Oct, 2014
- Architecting Scalable Systems
- Advanced Code Optimization and Performance Tuning
- Ownership of Full SDLC
- Technical Leadership and Mentoring
Team Leader at Interactive Data Systems. India
Jan, 2009 - June, 2011
- API Design and Integration
- Database Design and Optimization
- Cross-Functional Collaboration
- Technical Debt Management
Sr Software Engineer & Team Leader at Glansa Solutions. India
Nov, 2004 - Dec, 2010
- Research and Innovation
- Database Design and Optimization
- User Experience and Accessibility
- Third-Party Library and API Management
Education
PhD in Machine Learning in E-Healthcare Innovation from Monad University, India
2018 - 2024
My research focused on utilizing machine learning techniques to develop effective classification models for identifying heart disease risk factors in e-healthcare settings. This work aims to improve early detection and support personalized treatment strategies, ultimately enhancing patient outcomes.
Master in Computer Applications from Madras University, India
2001 - 2004
I completed my Master in Computer Applications (MCA), where I gained expertise in software development, database management, and system design. During my internship at Indian Telecom Industries, I applied my skills in a real-world setting, contributing to projects that improved telecommunications solutions and enhanced operational efficiency.
Bachelor in Computer Applications from S.V University, India
1998 - 2001
I earned my Bachelor in Computer Applications (BCA), where I developed a strong foundation in programming, web development, and software engineering principles. This degree equipped me with essential technical skills and knowledge to tackle real-world challenges in the IT industry.
Publications
Total Citations: 280 (Google Scholar- 169, ResearchGate- 111)
Hybrid Quantum-Classical Machine Learning Models: Powering the Future of AI
The Science Brigade, Jan 2023, Impact Factor- 3.2,
Citations: 82 (Google Scholar- 34, ResearchGate-48)
This research investigates the innovative intersection of quantum computing and classical machine learning through Hybrid Quantum-Classical Machine Learning Models (HQCLML). By leveraging the unique computational capabilities of quantum mechanics, these models aim to tackle complex, high-dimensional problems that challenge traditional algorithms. The study highlights the potential advantages of hybrid approaches, showcases key algorithms, and discusses future advancements in this transformative field.
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Data Versioning and Its Impact on Machine Learning Models
The Science Brigade, Jan 2024, Impact Factor- 3.2,
Citations: 68 (Google Scholar- 41, ResearchGate-27)
This research underscores the critical role of data versioning in machine learning, highlighting its significance for ensuring reproducibility, transparency, and reliability of ML models. By systematically tracking dataset changes and aligning models with specific data versions, effective data versioning practices enhance consistency across the ML pipeline. The study emphasizes how these practices bolster trust in model outcomes and facilitate collaboration, ultimately supporting advancements in the field of machine learning.
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A Study On a Machine Learning Based Classification Approach in Identifying Heart Disease Within E-Healthcare
Juniper Publishers, Dec 2023, Impact Factor- 2.024,
Citations: 51 (Google Scholar- 34, ResearchGate-17)
This study highlights the critical role of timely heart disease prediction, given its status as a leading cause of global mortality. By integrating data mining and machine learning techniques, including Support Vector Machine, Decision Tree, and Random Forest algorithms, the research presents a machine learning-based approach that enhances the accuracy of cardiac disease diagnosis from extensive datasets of unprocessed medical images. This innovative method has the potential to significantly improve patient care and quality of life across various healthcare settings.
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Neuro-Evolutionary Approaches for Explainable AI (XAI)
Eduzone, April 2023, Impact Factor- 8.246,
Citations: 25 (Google Scholar- 19, ResearchGate-6)
This research emphasizes the critical role of Explainable Artificial Intelligence (XAI) in fostering trust in machine learning models, especially within complex domains. It introduces a novel framework that integrates Neuro-Evolutionary Algorithms (NEAs) with XAI techniques, enhancing the explainability and interpretability of evolved neural network architectures. Experimental results demonstrate the framework's effectiveness, showcasing models that maintain high performance while providing transparent decision-making processes, thus addressing accountability and fairness concerns in AI systems.
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Explainable AI in the Context of Data Engineering: Unveiling the Black Box in the Pipeline
International Journal of Innovative Science and Research Technology,
Jan 2024, Impact Factor- 7.176, Citations: 24 (Google Scholar- 16, ResearchGate-8)
Jan 2024, Impact Factor- 7.176, Citations: 24 (Google Scholar- 16, ResearchGate-8)
This paper examines the essential integration of Explainable AI (XAI) within data engineering pipelines, addressing concerns related to the opacity of AI models and the need for transparency and accountability. By exploring methodologies and challenges, the research highlights how XAI tools can enhance the interpretability and trustworthiness of data-driven processes. The study emphasizes the importance of transparent decision-making, particularly in balancing model complexity with interpretability across various applications.
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Addressing Challenges, Exploring Techniques, and Seizing Opportunities for AI in Finance
International Journal of Innovative Science and Research Technology,
Feb 2024, Impact Factor- 7.176, Citations: 15 (Google Scholar- 15)
Feb 2024, Impact Factor- 7.176, Citations: 15 (Google Scholar- 15)
This paper provides a comprehensive review of the evolving integration of Artificial Intelligence (AI) in finance, spanning traditional financial operations and the innovative realm of FinTech. Unlike previous studies, it adopts a holistic approach to AI in Data Science (AiDS), categorizing and evaluating decades of research while addressing both historical and emerging challenges. Additionally, the paper examines various AI applications across financial sectors, including market prediction, fraud detection, algorithmic trading, and consumer behavior analysis.
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AI-powered Neuroprosthetics for brain-computer interfaces (BCIs)
World Journal of Advanced Engineering Technology and Sciences,
May 2024, Impact Factor- 9.48, Citations: 15 (Google Scholar- 10, ResearchGate-5)
May 2024, Impact Factor- 9.48, Citations: 15 (Google Scholar- 10, ResearchGate-5)
This review article explores the transformative potential of neuroprosthetics, which bridge the nervous system and external devices to restore and enhance lost sensory and motor functions. It highlights advancements in AI-powered brain-computer interfaces (BCIs) that aim to improve the quality of life for individuals with disabilities, emphasizing design, functionality, and ethical considerations. With ongoing research and technological developments, neuroprosthetics promise to revolutionize the treatment of neurological conditions while redefining human capabilities.
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Optimizing Real-Time Data Pipelines for Machine Learning: A Comparative Study of Stream Processing Architectures
World Journal of Advanced Research and Reviews,
Sep 2024,
Impact Factor- 7.8
This study evaluates the performance and scalability of Apache Kafka Streams, Apache Flink, and Apache Pulsar in real-time machine learning applications, addressing the need for a comprehensive comparative analysis. Through benchmarks, it reveals that Apache Flink outperforms Kafka Streams with 25% lower latency, while Apache Pulsar excels in scalability, processing up to 1.5 million messages per minute. The findings provide valuable insights into the strengths and limitations of each framework, guiding the selection of the most suitable stream processing system for optimized machine learning pipelines.
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Techniques for Machine Learning: Identifying Heart Disease within E-Healthcare through Implementation: Logistic Regression Model
International Journal of Trend in Innovative Research, Feb 2023, Impact Factor- 2.515
This study explores the evolution of machine learning as a subset of artificial intelligence, focusing on its capacity to enable computers to learn from data and improve performance over time. By employing algorithms that analyze training data, the research highlights how machine learning models can accurately predict outcomes, such as heart disease, by identifying hidden patterns within datasets. Additionally, the paper emphasizes the importance of data preprocessing and model evaluation in enhancing the accuracy and reliability of predictions.
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Scalable and Fault-Tolerant Algorithms for Big Data Processing in Distributed Cloud Architectures
World Journal of Advanced Research and Reviews,
Sep 2024,
Impact Factor- 7.8
This study explores scalable and fault-tolerant algorithms designed for efficient big data processing in distributed cloud architectures. It discusses techniques to optimize data distribution, load balancing, and fault recovery mechanisms to ensure system reliability. The study evaluates various frameworks, such as Hadoop, Spark, and Flink, to benchmark performance under large-scale workloads. The findings highlight innovative strategies to enhance scalability, minimize downtime, and improve resource utilization in cloud-based big data systems.
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Neurosymbolic AI: Bridging Neural Networks and Symbolic Reasoning
World Journal of Advanced Research and Reviews,
Sep 2024,
Impact Factor- 7.8
This study explores NeuroSymbolic AI, an approach that integrates neural networks with symbolic reasoning to enhance machine intelligence. It discusses how combining deep learning's pattern recognition with symbolic AI's logical inference improves interpretability and generalization. The study examines key architectures, applications, and challenges in bridging connectionist and rule-based systems. The findings highlight the potential of NeuroSymbolic AI in advancing explainability, reasoning, and decision-making across various domains.
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Reviewing Manuscripts
35 Manuscripts
1. "Investigating data encryption technologies in securing business information systems"
World Journal of advanced Research and Reviews - Jan, 20232. "Sustainable data governance in the era of global data security challenges in Nigeria: A narrative review"
World Journal of advanced Research and Reviews - Feb, 20233. "Designing resilient enterprise applications in the cloud: Strategies and best practices"
World Journal of advanced Research and Reviews - Mar, 20234. "Leadership Styles and Employee Motivation: A Comparative Study in Multinational Corporations"
International Journal for Research Publications & Seminar-JRPS - Mar, 20235. "Face recognition based attendance system using machine learning with location identification"
World Journal of advanced Research and Reviews - Apr, 20236. "Optimizing cloud-based machine learning pipelines with generative AI: Innovations in automated data augmentation and model enhancement"
World Journal of advanced Research and Reviews - May, 20237. "Online Business: The Growing Share of E-Commerce and New Opportunities for Indian Business"
International Journal for Research Publications & Seminar-JRPS - June 20238. "Exploring the Operational Framework of Child Welfare in Haryana - Issues and Challenges"
International Journal for Research Publications & Seminar-JRPS - July 20239. "Automation Strategies for Web and Mobile Applications in Media Domains"
International Journal for Research Publications & Seminar-JRPS - Sep 202310. "Gesture-based Human-Computer Interaction using Wearable Devices"
International Journal for Research Publications & Seminar-JRPS - Sep 202311. "AI-Powered Plant Disease Classification: Innovating for Sustainable Agriculture"
International Journal for Research Publications & Seminar-JRPS - Nov 202312. "Cloud Computing Revolution: Beyond Virtualization Scalability, Flexibility, and Efficiency in the Cloud Era"
MZ Computing Journal - Dec, 202313. "Machine learning's role in personalized medicine & treatment optimization"
World Journal of Advanced Research and Reviews - Jan, 202414. "AI and Creativity: Exploring the Intersection of Machine Learning and Artistic Creation"
International Journal for Research Publications & Seminar-JRPS - Mar, 202415. "Machine learning empowered geographic information systems: Advancing Spatial analysis and decision making"
World Journal of Advanced Research and Reviews - Apr, 202416. "Monetary Policy and Inflation Targeting: The Effectiveness of Central Bank Interventions"
International Journal for Research Publications & Seminar-JRPS - Apr, 202417. "Optimizing Nutritional Outcomes: The Role of AI in Personalized Diet Planning"
International Journal for Research Publications & Seminar-JRPS - May, 202418. "Implementing machine learning models in business analytics: challenges, solutions, and impact on decision-making"
World Journal of Advanced Research and Reviews - June, 202419. "Recent advances in sleep cycle regulation and hormonal imbalance: a comprehensive review"
International Journal for Research Publications & Seminar-JRPS - Jul, 202420. "Advances in Cybersecurity and AI: Integrating Machine Learning, IoT, and Smart Systems for Resilience and Innovation Across Domains"
World Journal of Advanced Research and Reviews - Aug, 202421. "Generative AI for Financial Excellence: Enhancing Accounting, FP&A, and Compliance across Business Functions."
ESP International Journal of Advancements in Computational Technology [ESP-IJACT] - Aug, 202422. "The Intelligent Edge: AI and Machine Learning in Edge Computing for IoT."
ESP International Journal of Advancements in Computational Technology [ESP-IJACT] - Aug, 202423. "The Role of Corporate Governance in Improving the Quality of Financial Reports: An Empirical Study on a Group of Commercial Banks Listed on the Iraq Stock Exchange"
International Journal for Research Publications & Seminar-JRPS - Sep, 202424. "Machine Learning for Cybersecurity: Detecting and Preventing Threats"
MZ Computing Journal - Sep 202425. "Accessible Forms: Best Practices for Inclusive User Input"
ESP Journal of Engineering & Technology Advancements [ESP JETA] - Oct, 202426. "The role of artificial intelligence and machine learning in optimizing U.S. healthcare supply chain management"
World Journal of Advanced Research and Reviews - Oct, 202427. "AI-Driven Billing Solutions in SaaS: Efficiency and Accuracy"
ESP Journal of Engineering & Technology Advancements [ESP JETA] - Oct, 202428. "AI-Powered Healthcare: Transforming Patient Outcomes with Machine Learning"
ESP Journal of Engineering & Technology Advancements [ESP JETA] - Oct, 202429. "ETL vs. ELT: Choosing the Right Approach for Your Data Warehouse"
ESP International Journal of Advancements in Computational Technology [ESP-IJACT] - Oct, 202430. "Digital Twins in DevOps."
ESP International Journal of Advancements in Computational Technology [ESP-IJACT] - Oct, 202431. "Revolutionizing America's Cloud Computing the Pivotal Role of AI in Driving Innovation and Security"
Journal Of Artificial Intelligence General Science - Oct, 202432. "The Role of AI in Cybersecurity: Addressing Threats in the Digital Age"
Journal Of Artificial Intelligence General Science - Oct, 202433. "Integrating AI and Deep Learning for Efficient Drug Discovery andTarget Identification."
Journal of AI-Powered Medical Innovations - Dec, 202434. "Real-Time Data Integration for Emergency Response in Healthcare Systems."
Journal of AI-Powered Medical Innovations - Dec, 202435. "Effect of Bloom's Mastery Learning Model on Student's Academic Achievement and Attitude Towards Social Science"
International Journal for Research Publications & Seminar-JRPS - Jan, 2025Media Coverage
12 news articles
APNews.com,
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Author of the news: Chandkheda, Ahmedabad, KISS PR Brand Story PressWire
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Published on: September 29, 2024
Author of the news: Chandkheda, Ahmedabad, KISS PR Brand Story PressWire
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Organic traffic(Jan 2025): 25.4M
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Author of the news: August Roberts
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Organic traffic search(Jan 2025): 90.5M
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Author of the news: August Roberts
Total visits(Jan 2025): 543M
Organic traffic search(Jan 2025): 90.5M
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Medium.com,
Published on: Dec 12, 2024
Author of the news: Expert Pro (Press Release)
Total visits(Jan 2025): 147M
Organic traffic(Jan 2025): 43.7M
Traffic value: $10M - $20M
Published on: Dec 12, 2024
Author of the news: Expert Pro (Press Release)
Total visits(Jan 2025): 147M
Organic traffic(Jan 2025): 43.7M
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quora.com,
Published on: Dec 29, 2024
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Published on: Dec 29, 2024
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tumblr.com,
Published on: Feb 12, 2025
Author of the news: mdmotalebhossainraju
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Organic traffic search(Jan 2025): 19.6M
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Published on: Feb 12, 2025
Author of the news: mdmotalebhossainraju
Total visits(Jan 2025): 270M
Organic traffic search(Jan 2025): 19.6M
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Benzinga.com,
Published on: October 2, 2024
Author of the news: Rev Up Marketer
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Author of the news: Rev Up Marketer
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Barchart.com,
Published on: Sep 30, 2024
Author of the news: Globe PR Wire, Press Release
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Published on: Sep 30, 2024
Author of the news: Globe PR Wire, Press Release
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evernote.com,
Published on: Jan 18, 2025
Author of the news: Olivia Carter
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Organic traffic search(Jan 2025): 3M
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Author of the news: Olivia Carter
Total visits(Jan 2025): 7.5M
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Ranker.com,
Published on: October 4, 2024
Author of the news: Press Release
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Author of the news: Press Release
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TechBullion.com,
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Author of the news: Luke
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Author of the news: Luke
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DigitalJournal.com,
Published on: February 9, 2024
Author of the news: Press Release, Globe PR Wire
Organic traffic (Jan 2025):7.5k
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Published on: February 9, 2024
Author of the news: Press Release, Globe PR Wire
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DigitalJournal.com,
Published on: February 9, 2024
Author of the news: Press Release, Globe PR Wire
Organic traffic (Jan 2025):7.5k
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Published on: February 9, 2024
Author of the news: Press Release, Globe PR Wire
Organic traffic (Jan 2025):7.5k
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