Dheeraj Inuganti

Led end-to-end development of an AI-powered staffing platform that intelligently connects recruiters and job seekers using explainable candidate–role matching, reducing hiring cycle time and improving placement accuracy. 🔹 Architected Scalable Microservices – Defined system architecture, API contracts, and database schemas in collaboration with AI, Data, and UX teams, ensuring scalability, modularity, and high performance. 🔹 Built Core Domain Services – Designed and developed Profile Management and Job Services using Java, Spring Boot, and microservices architecture to support job postings, applications, and AI-driven talent recommendations. 🔹 Enterprise-Grade Security – Implemented OAuth2 and JWT-based authentication with role-based and multi-tenant authorization, ensuring secure and compliant access control. 🔹 Event-Driven & High-Performance Systems – Designed Kafka-based asynchronous workflows for notifications, application lifecycle updates, and audit logging; leveraged Redis caching for low-latency data access. 🔹 Data-Driven Recruiter Experience – Developed dynamic React.js dashboards visualizing candidate-match insights, recruiter engagement, and hiring pipelines. 🔹 Cloud-Native Deployment – Containerized services with Docker and deployed on Coolify; implemented monitoring with Prometheus and Grafana, maintaining 99.5%+ uptime.

• Healthcare Web Application Development: Led the development of healthcare management applications using Java, Spring Boot, React.js, and JavaScript ES6+, enabling real-time care coordination for 2M+ members and reducing administrative effort by 65%. • Microservices & Backend APIs: Designed and implemented 10+ microservices using Spring Boot, Spring Cloud Gateway, and Docker containerization, creating scalable healthcare solutions that processed 15M+ daily transactions with 99.9% uptime and improved system modularity by 80% through domain-driven design principles and OpenShift deployment. . • Frontend Engineering: Developed intuitive, responsive dashboards using React.js, Material-UI, and modern state management patterns, improving user engagement by 70% and reducing support tickets by 50% through better UX and accessibility features. • Cloud & Containerization:Deployed services on Google Cloud Functions, Cloud Storage, and API Gateway, combined with Dockerized Flask apps on OpenShift, achieving HIPAA-compliant, auto-scaled infrastructure with a 30% reduction in cloud operating costs. • SQL & NoSQL Data Handling: Designed optimized queries and schemas for PostgreSQL, MySQL, and MongoDB, improving performance by 75% and enabling real-time data analytics for healthcare KPIs across business units. • API Documentation & Integration: Created and maintained REST APIs using Spring boot and Swagger/OpenAPI, facilitating seamless integration between frontend modules and backend microservices, and reducing API-related defects by 90%. • Python Automation & Data Processing: Built Python-based automation scripts for claims validation and ETL pipelines, reducing manual processing time by 40% and improving data accuracy across downstream systems.

• AI-Powered Consumer Insight Research: Contributed to a Natural Language Processing (NLP) research initiative titled "Identify Lead Users Through Text: Defining Metrics", focused on mining online user behavior patterns to identify early adopters and consumer innovators—providing strategic input for product ideation and roadmap planning. • Data Acquisition & Pipeline Engineering: Built scalable web scraping pipelines in Python using BeautifulSoup, Selenium, and Requests to extract 2,000+ consumer reviews from forums and e-commerce platforms; automated extraction and cleaning workflows to streamline unstructured data ingestion. • Data Preprocessing & Quality Enhancement: Increased dataset consistency and reliability by 35% through customized language detection, HTML tag filtering, segmentation logic, and deduplication—ensuring high-quality inputs for downstream ML models. • Advanced NLP Implementation: Applied robust NLP techniques including LDA topic modeling, and sentiment analysis using spaCy and NLTK, enabling deeper thematic clustering and sentiment classification of user content. • Machine Learning & Classification Modeling: Collaborated with faculty to develop and evaluate a text classification model using scikit-learn to identify high-engagement “lead users” based on behavioral and linguistic signals—enhancing user segmentation and early adopter targeting.

- Developed trade capture application using Java 11, Spring Boot, Spring Security, and React.js with HTML5/CSS3/JavaScript, supporting daily transactions worth £500M+ and serving 8M+ customers with enhanced digital banking capabilities that improved transaction processing speed by 55%. - Built secure Spring Boot microservices with Docker containerization and OpenShift deployment, integrating with 15+ external financial service providers while ensuring PCI DSS compliance and reducing payment failures by 40%. - Implemented low-latency transaction engines using Java concurrency, Spring Boot, and Kafka, enabling 5M+ daily transactions with sub-second response times and 99.95% success rate. - Led migration from monolithic to microservices using Spring Boot, Jenkins CI/CD, Docker, and Artifact Registry, achieving 200% scalability gains and reducing deployment time from hours to minutes. - Developed modern React.js applications with JavaScript ES6+, HTML5, CSS3, implemented comprehensive testing using JUnit, Mockito, and Postman API testing, creating responsive banking interfaces that increased customer satisfaction scores by 35% and reduced customer service calls by 25%. - Optimized critical systems with PostgreSQL , Hibernate ORM and Redis caching, improving application performance by 60% and reducing server utilization by 45%. - Actively participated in Agile/Scrum ceremonies, taking user stories from requirements through implementation and delivery. Delivered 25+ features on time within tight regulatory deadlines while ensuring quality via Swagger API documentation and peer code reviews. - Built stored procedures for trade validation (date, counterparty, instrument checks) and automated end-of-day reporting, reducing manual interventions and preventing settlement failures.

•Enterprise Banking Solutions: Architected large-scale banking applications using Java 8/11, Spring Boot, Spring Cloud, Spring Security, and PostgreSQL/Oracle databases, processing £2B+ in daily transactions while maintaining strict security standards and regulatory compliance requirements through comprehensive SDLC practices. •System Architecture & Microservices Design: Designed robust microservices architectures using Spring Boot, Docker containerization, and OpenShift deployment platforms, implementing design patterns and best practices that improved code maintainability by 80% and reduced bug reports by 65% through proper separation of concerns. •Database Management & Optimization: Developed complex SQL queries, stored procedures, and database optimization strategies for PostgreSQL, MySQL, and Oracle systems using Hibernate ORM, managing financial data for 12M+ customers while ensuring data integrity and 99.9% availability. •Legacy System Modernization: Led modernization efforts for legacy banking systems, migrating COBOL applications to Java-based solutions using Spring Boot, RESTful APIs, and modern frontend technologies, reducing maintenance costs by 50% and improving system performance by 70%. •API Gateway & Integration: Implemented API management solutions using Spring Cloud Gateway, AWS API Gateway, and Kong, creating secure, scalable API infrastructure that supported 100+ internal and external integrations with rate limiting, monitoring, and Swagger documentation capabilities. •Testing & DevOps Automation: Established comprehensive testing frameworks using JUnit, Mockito, Postman for API testing, implemented Jenkins CI/CD pipelines with Maven build automation and Git/Bitbucket version control, achieving 90%+ code coverage and reducing manual testing efforts by 75%.

•Full-Stack Web Application Development: Built comprehensive web applications using Java 8, Spring Boot, Spring MVC, Spring Security, and React.js with HTML5/CSS3/JavaScript, creating business solutions that served 50K+ users and improved operational efficiency by 45% through automated workflow systems and responsive UI design. •RESTful API Development & Integration: Developed and consumed RESTful web services using Spring Boot, implemented Swagger API documentation, and integrated with 10+ third-party APIs using Postman for testing, creating seamless data exchange mechanisms that reduced manual data entry by 80% and improved system interoperability. •Database Design & Management: Designed and implemented PostgreSQL and MySQL database schemas using Hibernate ORM, created optimized queries and stored procedures that improved data retrieval performance by 50% while maintaining data consistency across multiple applications through proper database design principles. •Frontend Development & User Experience: Created responsive user interfaces using React.js, HTML5, CSS3, JavaScript ES6+, and Bootstrap framework, implementing modern web standards and cross-browser compatibility that enhanced user experience and achieved 95% browser compatibility across all major platforms. •DevOps & Deployment Automation: Managed application deployment and server configuration using Apache Tomcat, Docker containerization, and Jenkins CI/CD pipelines with Maven build automation, implementing monitoring solutions using basic logging frameworks that achieved 99.5% application uptime. Testing & Quality Assurance: Implemented comprehensive testing strategies using JUnit for unit testing, Mockito for mocking frameworks, and Postman for API testing, establishing code quality standards through Git version control and systematic code review processes that reduced production defects by 60%