Backend architecture
Service boundaries, clear contracts, and transactional workflows designed around real product behavior.
Available for opportunities
Java Full Stack
Engineer.
I’m Deepak, a software engineer with 5+ years of experience building scalable backend systems, cloud-native applications, and practical AI products with Java, Spring Boot, React, and distributed systems.
Chicago, IL
Engineering focus
Reliable backends. Scalable cloud systems. Practical AI.
I build secure, scalable applications with Java, Spring Boot, React, and cloud-native tools, focusing on clear architecture, data integrity, and dependable delivery.
Explore GitHubConcurrency & integrity
Database locking, validation layers, event-driven persistence, and reliable state transitions.
Cloud-native delivery
Containerized workloads, Kubernetes routing, managed infrastructure, and deployment-aware design.
Applied AI systems
Tool-driven agents, streaming generation, schema grounding, and deterministic guardrails.
Java 21Spring BootSpring CloudPostgreSQLKafkaRedisDockerKubernetesGKEReactSpring AI
Selected engineering work
Systems built around real constraints.
Four case studies showing how architecture choices turn difficult product requirements into reliable workflows.
PromptForge
A distributed AI application builder that streams generated source code, persists project files, and launches isolated React preview environments on Google Kubernetes Engine.
The engineering problem
Turning nondeterministic code generation into a persistent, isolated, browser-accessible application preview.
The approach
Separated account, workspace, infrastructure, and intelligence responsibilities across services. Kafka carries file events, MinIO stores project files, Redis maps preview routes, and an idle Kubernetes runner pool prepares isolated Vite environments.
API Gateway→AI stream→Kafka events→MinIO→GKE runner→Live preview
Booking Management System
A hotel reservation backend designed around concurrency-safe inventory, composable pricing, secure authentication, and Stripe payment workflows.
The engineering problem
Preventing two customers from reserving the same room while keeping pricing rules flexible as business conditions change.
The approach
Persistent database row locks and transactional boundaries protect inventory. A strategy chain composes base, surge, occupancy, urgency, and holiday pricing without coupling those rules to the booking lifecycle.
Inventory lock→Price strategies→Reservation→Stripe intent→Confirmation
AI Text-to-SQL Guardrails
A schema-aware AI pipeline that translates natural-language questions into read-only PostgreSQL queries and records whether each attempt was allowed or blocked.
The engineering problem
AI can generate plausible SQL that is malformed, destructive, or unrelated to the database schema.
The approach
The service grounds prompts with the live schema, parses model output with JSqlParser, permits one SELECT statement only, rejects unsafe output, and records a clear audit trail before read-only execution.
Question→Schema context→LLM SQL→Parser→Guardrail→Read-only DB
Multi-Agent Blog System
A structured Spring-based workflow that researches, drafts, reviews, enriches, and saves publication-ready Markdown.
The engineering problem
A single large prompt makes research quality and editorial decisions difficult to inspect or control.
The approach
Specialized research, writing, and review stages create a traceable pipeline, with Tavily research through MCP, a dedicated reviewer, TLDR generation, reading statistics, and YAML front matter.
Research→Draft→Review→TLDR→Front matter→Markdown
Professional experience
Five years of building with Java.
Enterprise software, secure APIs, production support, cloud delivery, and accessibility across teams in India and the United States.
Download full resume- 01
University of Illinois Springfield
Student Staff · Digital Accessibility Remediation Team
Tested and remediated websites, applications, documents, and instructional media for WCAG 2.1, Section 508, screen-reader compatibility, and accessible structure.
- 02
Tech Mahindra
Software Developer
Built Spring Boot modules and secure REST APIs for enterprise finance workflows, integrating PostgreSQL, Oracle, React, Docker, Amazon RDS, CI/CD, and production release support.
- 03
Tikona Infinet Pvt. Ltd.
Java Developer
Developed Java microservices and layered REST APIs with PostgreSQL, JPA, Hibernate, Spring Security, JWT, JUnit, and Mockito while supporting delivery and root-cause analysis.
- 04
Crystal Tech
Java Developer
Built and maintained enterprise Java/J2EE applications across controller, service, DAO, JSP, and relational data layers.
Education & certification
Master of Science
Computer Science
University of Illinois Springfield
Bachelor of Engineering
Computer Engineering
University of Mumbai
Certified Cloud
Practitioner
CLF-C02