01
Enterprise Java
Modernizing business-critical platforms without losing the reliability, security, and operational discipline enterprises depend on.
Java 8/17/21 · Spring Boot 3 · Microservices · Hibernate · Kafka
Enterprise engineer · Building toward GenAI
I build enterprise systems today—and the AI-powered ones next.
I’m Mahesh, a Senior Java Full Stack Developer with 6+ years of experience modernizing business-critical platforms. I’m now expanding that foundation into practical Generative AI engineering.
Currently working corp-to-corp · Preparing for a full-time GenAI transition
Engineering trajectoryActive
Target roleGenerative AIEngineer
01JavaEnterprise core
02CloudProduction scale
03AI systemsBuilding now
6+years in enterprise engineering
20+public-sector applications supported
50K+records used in performance validation
30%faster response time on key endpoints
What I bring
Enterprise depth.
AI-forward direction.
Generative AI is most valuable when it can survive production. My advantage is the engineering discipline to connect new AI capabilities with the systems, data, security, and operations businesses already run.
02
Full-stack delivery
Connecting resilient backend services to responsive product experiences and carrying the work from requirements through production.
React · Next.js · TypeScript · REST · GraphQL · SQL/NoSQL
03
Cloud & operations
Building for the real world: observable systems, secure integrations, repeatable delivery, and calm production incident response.
AWS · GCP · Docker · Kubernetes · Jenkins · Splunk
04In development
Generative AI direction
Applying an enterprise engineering foundation to AI-assisted development and the next generation of grounded, secure AI applications.
Python · LLM application patterns · RAG · Agents · Evaluation
Selected impact
Work that holds up
under real-world pressure.
01
Enterprise modernization
Moving critical public platforms forward—without leaving reliability behind.
Contributed to modernizing legacy Java and Spring applications to Java 17/21, Spring Boot 3, Jakarta EE, and Hibernate 6 while supporting live production services used across Texas agencies.
Java · Spring Boot · React · AWS · MySQL · MongoDB
- 20+ applications supported through M&O
- Java 8 → 17/21 modernization
- Security remediation and P1/P2 response
02
Digital payments
Faster customer experiences backed by scalable services and delivery automation.
Developed full-stack capabilities for customized gift-card ordering, evolved REST and GraphQL services, and helped streamline cloud delivery for a high-traffic payments environment.
Spring · React · Next.js · GraphQL · Kafka · AWS
- 30% faster response on key endpoints
- 20% reduction in deployment time
- Responsive React and Next.js experiences
03
Production engineering
Turning complex incidents into stable, measurable improvements.
Used application telemetry, targeted test data, and root-cause analysis to reproduce critical issues, optimize code paths, and validate fixes across multiple environments.
Splunk · AppDynamics · CloudWatch · JUnit · Jenkins
- 50K+ record test scenarios
- SLA-driven incident resolution
- Automated testing and CI/CD validation
Client work is summarized at a high level to respect confidentiality.
The next chapter
From dependable software to dependable intelligence.
I’m deliberately building the bridge—not erasing the experience that came before it. The goal is to create AI applications that are useful, observable, secure, and grounded in the realities of enterprise work.
Follow what I’m building on GitHub01
Foundation
Enterprise systems
Distributed services, APIs, cloud infrastructure, security, observability, and production ownership.02
Now building
Applied GenAI
Python, retrieval-augmented generation, agent workflows, model evaluation, and responsible AI integration.03
Destination
AI engineering impact
Reliable AI products that connect models to trusted enterprise data, workflows, and measurable business outcomes.Experience
Built one system,
one lesson at a time.
A progression from full-stack delivery to production ownership, modernization, and the next era of AI-enabled software.
Senior Java Full Stack Developer
State of Texas · Deloitte
Supporting and modernizing public-sector platforms across a portfolio of 20+ enterprise applications, with a focus on reliability, security, and production operations.
Java Full Stack Developer
PayPal
Built customer-facing gift-card experiences and cloud services across Java, Spring Boot, React, GraphQL, AWS, and automated delivery pipelines.
Full Stack Developer
Torry Harris Business Solutions
Delivered cloud-native, event-driven applications with Spring, React, Kafka, AWS, GCP, and secure single sign-on integrations.
Junior Full Stack Developer
Unibyte Consulting
Developed an inventory platform and third-party logistics integrations using Java, Spring Boot, React, REST APIs, and cloud services.
Education
Master of Science in Computer Science
Texas A&M University–Kingsville
Bachelor’s in Computer Science
India
Let’s connect
Building an AI-enabled product—or a team that needs enterprise engineering depth?
I’m always open to thoughtful conversations about Generative AI, full-stack engineering, technical leadership, and future full-time opportunities.
mahesh.parikipandla10@gmail.com