I'm aFull Stack Java Developer

Full-Stack Developer | Scaling Distributed Systems

Started as a Software Developer building enterprise backend systems. Led the transition from monolithic architecture to event-driven microservices, handling 100K+ concurrent users. Now at Nutrisystem as Sr. Backend Engineer, building payment systems and meal planning APIs.

My sweet spot: taking complex distributed systems and making them faster, more resilient, and easier to operate. Microservices, event-driven architecture, and cloud-native design are my core strengths. But I don't stop at backend—I deliver full-stack solutions with React/Next.js frontend expertise.

I believe in clean architecture, measurable performance, and observable systems. Code isn't done until it's monitored, tested, and documented. Great engineers lift up their teams.

Pursuing AWS Solutions Architect certification. Always learning—currently exploring Go for microservices and Spring AI.

Technical Arsenal

Backend

Java 17

Java 11

Spring Boot

Spring Cloud

Spring Security

Spring Data JPA

Hibernate

Design Patterns

Multithreading

Stream API

Frontend

React.js

Next.js

TypeScript

JavaScript

Redux

Hooks

HTML5

CSS3

Responsive Design

Databases

PostgreSQL

Oracle

MySQL

MongoDB

Cassandra

Redis

DynamoDB

AWS RDS

API & Messaging

REST APIs

GraphQL

Swagger/OpenAPI

Apache Kafka

RabbitMQ

Async Processing

Cloud & Infra

AWS EC2

RDS

Lambda

API Gateway

CloudWatch

SQS

ECS

Docker

Kubernetes

VPC

IAM

DevOps

Jenkins

Maven

Gradle

GitHub Actions

Git/GitHub

Infrastructure as Code

SonarQube

Observability

Prometheus

Grafana

ELK Stack

Splunk

AWS CloudWatch

Log4j

SLF4J

Testing

JUnit

Mockito

Jest

Selenium

Postman

JMeter

Integration Testing

TDD

Professional Experience

Nutrisystem

Java Backend Developer

Jan 2025 – Present

Java 17

Spring Boot

REST APIs

Spring Security

JWT

Oracle DB

+4 more

100K+ Concurrent Users

System throughput optimized

<200ms API Response

P99 latency reduction

$2M+ GMV Annually

Secure payment processing

60% Cache Hit Ratio

Redis-driven performance

Leading the development of highly scalable microservices for meal planning and subscription-based payment systems.
Optimizing distributed systems performance using Redis caching and database query tuning to achieve <200ms P95 latency.
Architecting secure and PCI-DSS compliant payment processing flows handling over $2M in annual GMV.
Collaborating with cross-functional teams to drive technical strategy and improve system observability using ELK stack.

Wipro

Software Developer

Jun 2018 – Dec 2022

Java 8/11

Spring Boot

Spring Cloud

Kafka

RabbitMQ

Oracle

+6 more

60% ↑ Deployment Frequency

Monolith → Microservices

1000s events/sec

High-volume Kafka streams

40% resource savings

GraphQL query optimization

Zero Downtime

Resilient systems design

Spearheaded the migration of legacy monolithic applications to event-driven microservices architecture using Spring Cloud and Kafka.
Implemented real-time data streaming solutions processing thousands of events per second with Apache Kafka.
Reduced data transfer overhead by 40% through the implementation of a GraphQL API Gateway.
Automated CI/CD pipelines using Jenkins and Docker, reducing deployment cycle time from days to minutes.

Projects

Featured Project

Microservices

Nutrisystem Meal Planning & Payment Platform

Scalable microservices architecture for Nutrisystem's meal planning, product recommendations, and subscription payment systems. The system handles 100K+ concurrent users with <200ms API response times while processing $2M+ in transactions annually.

100K+

concurrent users

<200ms

API response time

$2M+

GMV processed annually

Zero

payment failure rate

Java 17

Spring Boot

Spring Security

REST APIs

Oracle

Redis

AWS

Technical Architecture

Microservices Design

• Microservices design
• RESTful APIs
• Async job processing
• Event-driven subscription renewals

Security & Payments

• JWT-based authentication
• Role-based authorization (RBAC)
• PCI-DSS compliant
• Zero payment failures

Performance

• Redis caching
• Cache hit ratio 60%+
• Database query optimization
• <200ms P95 latency

Microservices Migration & Event-Driven Architecture

Impact

60% ↓ deployment time | 1000s events/sec via Kafka

Java 11 | Spring Boot | Kafka | Kubernetes

Full-Stack E-Commerce Platform

Impact

End-to-end platform demonstrating full-stack expertise

Java 17 | Next.js | TypeScript | PostgreSQL

Real-Time Analytics Dashboard

Impact

70% ↓ incident response time (MTTD)

Java | Prometheus | Grafana | React.js

GraphQL API Gateway

Impact

40% ↓ data transfer | Improved developer experience

Java | Spring Boot | GraphQL Java

Education & Credentials

Youngstown State University

Master of Computing and Information Systems

Jan 2023 – Dec 2024GPA: 4.0

Relevant Coursework:

•Distributed Systems & Cloud Computing
•Advanced Database Design
•Microservices Architecture
•Security

Lovely Professional University

Bachelor of Engineering

Aug 2014 – Jun 2018

Relevant Coursework:

•Data Structures & Algorithms
•Database Management
•Software Engineering
•Web Development

Focus: Software Engineering

Let's Work Together

Whether you have a question or just want to say hi, I'll try my best to get back to you!