Venkat Ganga
""
AI Enthusiast & Software Engineer
Full Stack Java Developer
Transforming complex business challenges into scalable solutions through 5+ years of Java/J2EE expertise, cloud architecture, and cutting-edge AI integration.
About Me
With over 5 years of experience in Java/J2EE Software Development, I've honed my skills in developing and testing Client/Server, Enterprise, and Web Applications.
My expertise spans the entire software development lifecycle, from requirement analysis and design to coding, testing, and implementation.
I'm passionate about creating efficient, scalable solutions and continuously expanding my knowledge in emerging technologies.
Key Strengths
- • Full-stack development with Java and modern web technologies
- • Microservices architecture and RESTful API design
- • Cloud deployment and DevOps practices
- • Agile methodologies and test-driven development
- • Strong problem-solving and analytical skills
Frontend Development
Expertise in React.js, Angular, and modern JavaScript frameworks.
Backend Development
Proficient in Java, Spring Framework, and RESTful API design.
Cloud & DevOps
Experience with AWS, Docker, and CI/CD pipelines.
Database Management
Skilled in SQL and NoSQL databases, including MongoDB and Cassandra.
Technical Arsenal
AI Passion & Expertise
Leveraging artificial intelligence to transform business challenges into innovative solutions through cutting-edge technologies and creative implementation strategies.
import { ai } from '@ai-sdk/core';
const model = ai.getModel('gpt-4');
const result = await model.complete({
prompt: "Innovate with AI"
});from tensorflow import keras model = keras.Sequential([ keras.layers.Dense(128, activation='relu'), keras.layers.Dense(10, activation='softmax') ])
AI Integration
Seamlessly integrating AI capabilities into existing systems to enhance functionality and user experience.
Machine Learning
Implementing ML algorithms to analyze patterns and make data-driven predictions for business optimization.
Data Analytics
Transforming raw data into actionable insights through advanced analytics and visualization techniques.
Professional Journey
Java Full Stack Developer
Cognizant (Client: Capital One)
Plano, Texas
Apr 2024-Present
- •Architected microservices-based backend using Spring Boot with MVC pattern, implementing robust features for enhanced productivity
- •Developed responsive frontend applications using React.js with Redux for state management and component reusability
- •Built Node.js middleware services for API gateway functionality and real-time data processing with Express.js framework
- •Implemented secure JWT token-based authentication and role-based access control (RBAC) for enterprise-level security
- •Leveraged AWS cloud services (EC2, RDS, S3, Lambda) to build scalable, fault-tolerant application infrastructure
- •Created RESTful APIs using Node.js and Express.js for seamless integration between React frontend and Java backend services
- •Performed comprehensive testing using JMeter, 7P's, Hercules for performance optimization and bottleneck identification
- •Automated CI/CD pipelines for continuous integration and deployment using agile methodologies
- •Developed real-time features using Node.js WebSocket connections for live data updates in React components
Java Full Stack Developer
Client: Schneider, WI
Nov 2023-Apr 2024
- •Engineered real-time truck tracking system using Google Maps JavaScript API with advanced marker clustering
- •Built scalable data ingestion pipeline using Apache Kafka for processing SkyBitz events with fault-tolerance
- •Developed interactive React.js dashboard with hooks and context API for real-time truck location visualization
- •Implemented Angular components for administrative panels with TypeScript and RxJS for reactive programming
- •Migrated enterprise data from SQL to MongoDB, ensuring data integrity and optimizing NoSQL performance
- •Created Node.js services for data transformation and API orchestration between frontend and backend systems
- •Implemented Spring Boot microservices architecture for handling concurrent user requests and real-time updates
- •Optimized application performance through lazy loading, data pagination, and efficient caching strategies
Java Full Stack Developer
BNY Financials
DE
Apr 2023-Sep 2023
- •Built production-ready e-commerce application using Java Spring Boot with MVC pattern for multi-role user management
- •Developed dynamic React.js frontend with functional components, hooks, and context API for state management
- •Implemented Spring Security with OAuth for authentication and Spring AOP for cross-cutting concerns (logging, transactions)
- •Created responsive Angular modules with lazy loading and route guards for enhanced user experience
- •Developed RESTful Web Services using Spring Framework, handling JSON data exchange and CORS configuration
- •Built Node.js middleware for payment processing integration and third-party API communications
- •Created role-based access control (RBAC) in React.js with reusable components for enhanced modularity
- •Deployed applications on AWS EC2 using Docker containers with automated CI/CD pipelines via Jenkins
- •Migrated on-premises Splunk instances to Splunk Cloud, optimizing costs and ensuring seamless transition
Full Stack Java Developer
Infosys (Client: Altisource)
Dallas, Texas
Jan 2023-Mar 2023
- •Developed multithreaded portfolio application using Java Spring Boot and Hibernate ORM for business logic implementation
- •Built modern Angular 8 frontend with TypeScript, implementing reactive forms and HTTP interceptors
- •Created Node.js backend services for file processing and data aggregation with Express.js and middleware integration
- •Implemented Spring Security for Single Sign-On (SSO) based on HTTP header parameters and authentication workflows
- •Developed React.js components with Material-UI for enhanced user interface and responsive design
- •Built responsive UI using Angular 8, HTML5, CSS3, JavaScript with Spring MVC annotations for controller development
- •Created RESTful microservices architecture using Spring Boot for both RESTful and Event-Based communication
- •Integrated MongoDB (NoSQL) with Node.js REST framework for optimized database operations
- •Utilized Apache Kafka with Camel for data transformation and legacy data migration to Avro format
Senior Software Engineer
Tech Mahindra (Client: Nestle)
May 2021-Feb 2022
- •Led full-stack development using Java 11 features (Lambda Expressions, Streams, Functional Interfaces) with Spring Framework
- •Developed Angular 8/12 applications with dependency injection, services, and reactive programming using RxJS
- •Built Node.js microservices for data processing and API gateway functionality with Express.js and middleware
- •Implemented AWS Lambda functions for serverless computing and AWS CloudWatch for performance monitoring
- •Created React.js components with Redux for state management and integrated with RESTful APIs for dynamic data fetching
- •Developed microservices architecture using Spring Boot with dependency injection and Angular for frontend
- •Built cloud-based applications on AWS and GCP ensuring scalability, reliability, and security best practices
- •Implemented Continuous Delivery with Docker/Jenkins and Node.js build processes for automated deployment
- •Designed custom message adapter components using Apache Kafka for microservices communication
Software Engineer | Full Stack Java Developer
Adani
Nov 2019-May 2021
- •Implemented Agile Scrum methodology for full-stack development using Java Spring Boot and Django REST APIs
- •Developed Angular frontend applications with TypeScript, implementing routing, guards, and HTTP client services
- •Built Node.js backend services for real-time data processing and API integration with third-party systems
- •Developed secure RESTful Web services with Spring Security & OAuth for data retrieval and authorization
- •Created React.js components with hooks and context API for dynamic user interfaces and state management
- •Enhanced UI using modern frameworks (Angular, React) with HTML5, JavaScript, jQuery, Bootstrap, JSP, JSF
- •Utilized AWS services (Amazon S3, DynamoDB) for efficient cloud storage, retrieval, and data integration
- •Optimized SQL database performance using structured query language and implemented comprehensive testing protocols
- •Built cloud microservices using Spring MVC and Hibernate, removing XML-based configurations
Associate Software Engineer
Pega Developer
May 2018-Oct 2019
- •Developed enterprise applications using Pega PRPC platform with business process management
- •Created reusable application structure enabling easy upgrades for 4+ enterprise applications
- •Implemented Pega Guardrails, SLA (Service Level Agreement), and declarative rules for business logic
- •Collaborated with Business Analysts to define requirements and designed scalable application architecture
- •Coded PRPC activities, flows, flow actions, and assignments following industry best practices
- •Integrated frontend components with JavaScript and jQuery for enhanced user experience
Interests & Passions
Artificial Intelligence
Fascinated by the potential of AI to revolutionize industries and solve complex problems.
Machine Learning
Exploring the intricacies of ML algorithms and their applications in real-world scenarios.
Data Science
Passionate about extracting meaningful insights from large datasets to drive decision-making.
Emerging Technologies
Always eager to learn and experiment with the latest programming languages and frameworks.
As an AI enthusiast, I'm constantly exploring new developments in the field and their potential applications in software development. I believe that combining my expertise in Java full-stack development with AI-driven solutions can lead to innovative and impactful projects.
Certifications
AWS Certified Developer (Associate)
AWS AI Practitioner
Pega Certified System Architect (CSA)
Salesforce Certified Developer
Education
Master's in Information Systems (ISS)
Dakota State University (DSU)
2023
B.TECH in Computer Science
Godavari Institute of Eng. and Technology (GIET)
2018
Get In Touch
Send me a message
💡 What happens next:
- • Your message will be sent directly to my email
- • I'll respond within 24 hours (usually much faster!)