Senior Full Stack Developer - Java Spring Boot & React Expert

NAGA VENKATA PRANAY SINGULURI

+1-573-***-**** ***************@*****.*** LinkedIn

PROFESSIONAL SUMMARY

• Results-driven Full Stack Developer with around 6 years of experience in Java (Spring

Boot), React.js, and TypeScript for building scalable full-stack applications.

• Skilled in frontend development with React.js, TypeScript, and Figma, crafting responsive and

user-driven interfaces with Redux and Material UI.

• Expertise in designing and implementing AI/ML solutions, integrating TensorFlow and NLP-

based search pipelines (Lucid works Fusion) into real-time systems for predictive analytics and

optimization.

• Extensive experience with event-driven architecture using Apache Kafka for streaming and

distributed systems.

• Demonstrated proficiency in developing and optimizing relational (MSSQL, Oracle

PL/SQL) and NoSQL (Cassandra, MongoDB) databases, enhancing query performance and

reliability.

• Proficient in deploying, managing, and scaling secure applications in AWS (S3, ECS, Lambda,

CloudWatch) and streamlining CI/CD pipelines via Jenkins, Docker, and Kubernetes.

• Delivered industry-specific solutions in manufacturing, construction, and healthcare, resolving

unique problems with technical expertise and collaboration.

• Adept at working in Agile environments, fostering cross-functional team collaboration to

deliver user-centric, high-quality software solutions.

• Hands-on experience in creating microservices-based architectures, leveraging Spring Boot

and REST APIs to ensure scalability, modularity, and optimal performance.

• Strong background in implementing secure authentication protocols, including OAuth2 and

JWT, to ensure data integrity and privacy in web applications.

• Proven ability to mentor junior developers, conduct code reviews, and enforce best practices

for high-quality, maintainable, and efficient codebases.

TECHNICAL SKILLS

Category Technologies/Tools

Frontend React.js, TypeScript, JavaScript (ES6+), HTML5, CSS3, Redux, Context API,

Development Material UI, Bootstrap, Figma

Backend

Java 8/11, Spring Boot, Spring Security, REST APIs, Microservices, Python

Development

TensorFlow, NLP, Lucidworks Fusion, Predictive Analytics, Search

AI/ML Integration

Optimization

Database MSSQL, Oracle PL/SQL, MongoDB, Cassandra, DynamoDB, Query

Management Optimization

Category Technologies/Tools

AWS (S3, Lambda, ECS, CloudWatch), Jenkins, Docker, Kubernetes, CI/CD

DevOps and Cloud

Pipelines

Streaming and

Apache Kafka, Event-Driven Systems

Events

Testing and Tools JUnit, Mockito, Swagger, REST Assured, Postman

Version Control Git, GitHub, GitLab

Agile Methodologies, Visual Studio Code, IntelliJ IDEA, Shell Scripting,

Other Tools

PowerShell, Cross-Browser Compatibility

PROFESSIONAL EXPERIENCE

Green Bay Packaging — Arkansas, USA

Full Stack React Developer & Python AI/ML Integration Specialist

Jul 2024 – Present

• Developed scalable, responsive React.js frontend components using TypeScript, improving the

user experience for supply chain applications.

• Collaborated with Figma designers to translate mockups and UX designs into efficient and

interactive web interfaces.

• Built backend services in Python tailored for AI/ML pipelines, integrating TensorFlow models to

predict trends and optimize operations.

• Designed and implemented data streaming solutions with Apache Kafka, reducing system data

delay by 40% in supply chain updates.

• Optimized Oracle PL/SQL queries, reducing database query processing time by 35%, driving

better transactional reporting.

• Leveraged Lucidworks Fusion for real-time NLP search implementation, enhancing data

discovery capabilities.

• Automated infrastructure provisioning and deployment via CI/CD pipelines with Jenkins and

containerized builds in Docker.

• Designed secure RESTful APIs using Spring Boot, enabling communication between supply chain

microservices.

• Deployed serverless applications on AWS Lambda, improving cost efficiencies for data-trigger

processing tasks.

• Enhanced application security by integrating JWT-based authentication for all REST APIs.

• Developed predictive AI models for logistic forecasting, resulting in a 25% reduction in supply

chain inefficiencies.

• Conducted code reviews, ensuring adherence to coding best practices and high-quality

standards.

• Partnered with QA teams to automate UI testing, ensuring seamless deployment across global

supply chain systems.

• Improved error-reporting mechanisms to reduce downtime by 20%, ensuring mission-critical

services were non-disruptive.

• Trained junior developers in TypeScript, React best practices, and debugging scalable

applications.

MasTec — Philadelphia, USA

Full Stack Developer Modular Construction SaaS Solutions

Jan 2023 – Jun 2024

• Led the design of React.js dashboards to streamline modular construction workflows, improving

real-time collaboration by 25%.

• Developed microservice-based backend systems with Spring Boot, enabling high scalability and

seamless API integrations.

• Streamlined backend processes by integrating Apache Kafka for real-time data communication

between construction task modules.

• Wrote highly optimized queries and procedures with MSSQL, reducing data retrieval time for

project reports by 30%.

• Automated application deployments using Jenkins, deploying containerized builds onto AWS

ECS environments.

• Collaborated with Figma-based designs, bringing efficient, UX-friendly workflows to life.

• Designed RESTful APIs enabling dynamic project creation endpoints for enhanced real-time

functionality.

• Wrote secure authentication layers using JWT-tokens, enabling seamless client communication

across portals.

• Configured CI/CD pipelines, delivering functionality through bi-weekly sprint deployments

without downtime.

• Designed backend data analytics workflows augmenting machine learning integration pipelines

in Python.

• Conducted user-testing sessions to gather feedback and optimize dashboard layouts for end-

users.

• Reduced loading times by 15%, optimizing API payloads and caching strategies.

• Created integrative solutions with modular designs to link logistics and project components

efficiently.

• Collaborated with QA engineers to establish end-to-end testing strategies within Agile

development cycles.

• Published API documentation and guidelines to standardize third-party integrations.

Capgemini (Client: Hillrom) — Bangalore, India

Software Developer Lucidworks Search Optimization and AI/ML Systems

Jan 2020– Aug 2022

• Implemented dynamic React.js components for healthcare portals, ensuring HIPAA compliance

and scalability.

• Powered Lucidworks Fusion with NLP models, improving the relevance of search queries by 30%.

• Trained AI/ML pipelines for predictive analytics based on patient health records, integrated

with PL/SQL databases.

• Refactored backend logic using Spring Boot, reducing API latency by 20% for hospital

management systems.

• Automated security token validation and API gateway handling with Spring Security for

enhanced healthcare data compliance.

• Deployed distributed AI NLP pipelines for hospital-wide search engine solutions, improving

response efficiency.

• Partnered with Lucidworks stakeholders to diagnose and debug indexing issues; improving

dashboard insights.

• Proposed cross-database modeling upgrades, reducing query consolidation by compressing

logs effectively across NoSQL layers.

• Mentored team members on Python-based approaches to exploring AI-assisted solutions for

redundant data curation operations.

• Architected REST-based interfaces for securely connecting third-party diagnostic systems.

• Partnered SaaS-ready serverless AWS expansion integrations by running batch jobs connected

to healthcare notifications queues.

• Delivered unit-testing methodology sessions for junior developers adopting microservice-ready

configurations.

• Executed system trace simulations to reduce login bottlenecks when connected over

intercontinental web clients.

• Handled crisis recovery for rolling back fault consistency between synced ElasticServer indexing

points.

• Ensured system reliability by creating Lucid preserves fallback priorities whenever critical

failovers arose.

EDUCATION

Missouri University of Science and Technology — Missouri, USA

Master of Science, Information Science Aug 2022 – May 2024

Vishnu Institute of Technology — Andhra Pradesh, India

Bachelor of Technology, Electronics and Communication Engineering Jun 2016 – Jul 2020

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