Java Full Stack Developer

Hi, I'm Neeraj Palikala — building scalable systems that connect backend logic to real workflows.

I design and build enterprise applications, microservices, and REST APIs with a focus on performance, reliability, and clean architecture — from Spring Boot services to event-driven data platforms on the cloud.

SOPEngine.java

public class SOPEngine {

  public WorkflowResult execute(Config cfg) {
    var steps = cfg.resolveSteps();
    for (Step s : steps) {
      s.run();
    }
    return WorkflowResult.success();
  }
}
⚙ Spring Boot
☁ GCP
⇄ Kafka

Professional Summary

Professional with experience in developing enterprise applications, microservices, REST APIs, and distributed systems. Proven ability to build scalable software solutions, automate business workflows, integrate complex systems, and contribute across the software development lifecycle. Strong focus on performance, reliability, maintainability, and delivering high-quality outcomes in agile environments.

2+ Years of Experience
2 Companies
2 Certifications

Technical Skills

Programming Languages

JavaPython

Backend Technologies

Spring BootSpring MVCSpring Data JPA HibernateREST APIsMicroservices

Frontend Technologies

React.jsHTML5CSS3JavaScript

Cloud Technologies

GCPBigQueryDataform Cloud StorageIAM

Messaging Systems

Apache KafkaEvent-Driven Architecture

Databases

MongoDBMySQLSQL

DevOps & Tools

DockerTerraformGit GitHubVS Code EclipseCursor

Operating Systems

LinuxWindows

Professional Experience

Java Full Stack Developer

Eizen.AI — Hyderabad

Dec 2025 – Present
JavaSpring Boot ReactJSMongoDB KafkaDocker REST APIs
  • Designed and developed a generic SOP (Standard Operating Procedure) Platform that enables business users to create and manage workflows for diverse use cases without modifying core application logic.
  • Built a configuration-driven no-code/low-code framework where SOPs, execution rules, and model mappings can be defined through the user interface and executed dynamically at runtime.
  • Developed a flexible execution engine capable of orchestrating end-to-end business workflows by interpreting user-defined SOP configurations and invoking the appropriate services and AI models.
  • Integrated Computer Vision and AI models into the platform, enabling reusable model-to-SOP mappings that support multiple business scenarios without additional development effort.
  • Eliminated the need for use-case-specific code implementations by introducing a reusable workflow architecture that accelerates onboarding of new business processes.
  • Designed and developed an ML Observability Platform providing centralized visibility into SOP executions, model usage, inference results, operational metrics, and model performance across the organization.
  • Built dashboards and monitoring capabilities to track workflow outcomes, model effectiveness, execution trends, and system health, enabling data-driven operational improvements.
  • Collaborated with product, engineering, and AI teams to deliver scalable, production-ready enterprise applications and platform capabilities.

Software Engineer

AI Automation Labs — Remote

Project: Data Guardian — Unified Data Governance Platform

Jun 2024 – Dec 2025
JavaSpring Boot KafkaMongoDB GCPBigQuery DataformTerraform Docker
  • Developed backend microservices for data discovery, governance, metadata management, and policy enforcement using Java and Spring Boot.
  • Designed and implemented a Discovery Module capable of extracting structured and unstructured metadata from Google Cloud Platform environments.
  • Built a Dataform Discovery Framework that automated metadata collection and significantly improved data retrieval efficiency.
  • Implemented Kafka-based event-driven communication architecture enabling real-time processing and asynchronous service integration.
  • Developed scalable APIs and data processing pipelines supporting enterprise-level governance workflows.
  • Optimized service performance and deployment processes, improving platform reliability and operational stability.
  • Participated in cloud-native deployments and infrastructure automation using Docker and Terraform.

Education

🎓

Bachelor of Technology — Mechanical Engineering

Srinivasa Institute of Engineering and Technology

Aug 2019 – May 2023

Certifications

Google Cloud Associate Cloud Engineer

Credential ID: ea4b1733ec994a33bf97c0331c0cb782

🗄

HackerRank SQL (Advanced)

Credential ID: E7ECC79B4D43

Let's build something great

Open to backend, full-stack, and cloud engineering opportunities. Reach out and I'll get back to you shortly.